0s autopkgtest [10:48:17]: starting date and time: 2025-11-01 10:48:17+0000
  0s autopkgtest [10:48:17]: git checkout: 4b346b80 nova: make wait_reboot return success even when a no-op
  0s autopkgtest [10:48:17]: host juju-7f2275-prod-proposed-migration-environment-15; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.6sqc2ayo/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:scipy --apt-upgrade xgboost --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=scipy/1.16.3-1 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest-s390x --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-15@bos03-s390x-3.secgroup --name adt-resolute-s390x-xgboost-20251101-104817-juju-7f2275-prod-proposed-migration-environment-15-86c19dbe-cee1-46c8-8703-311c1cda0771 --image adt/ubuntu-resolute-s390x-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-15 --net-id=net_prod-proposed-migration-s390x -e TERM=linux --mirror=http://ftpmaster.internal/ubuntu/
  4s Creating nova instance adt-resolute-s390x-xgboost-20251101-104817-juju-7f2275-prod-proposed-migration-environment-15-86c19dbe-cee1-46c8-8703-311c1cda0771 from image adt/ubuntu-resolute-s390x-server-20251031.img (UUID 0c045c9f-9f12-44be-973b-1d1fecbe207a)...
 58s autopkgtest [10:49:15]: testbed dpkg architecture: s390x
 58s autopkgtest [10:49:15]: testbed apt version: 3.1.11
 58s autopkgtest [10:49:15]: @@@@@@@@@@@@@@@@@@@@ test bed setup
 58s autopkgtest [10:49:15]: testbed release detected to be: None
 59s autopkgtest [10:49:16]: updating testbed package index (apt update)
 59s Get:1 http://ftpmaster.internal/ubuntu resolute-proposed InRelease [87.8 kB]
 59s Hit:2 http://ftpmaster.internal/ubuntu resolute InRelease
 60s Hit:3 http://ftpmaster.internal/ubuntu resolute-updates InRelease
 60s Hit:4 http://ftpmaster.internal/ubuntu resolute-security InRelease
 60s Get:5 http://ftpmaster.internal/ubuntu resolute-proposed/main Sources [138 kB]
 60s Get:6 http://ftpmaster.internal/ubuntu resolute-proposed/universe Sources [2408 kB]
 60s Get:7 http://ftpmaster.internal/ubuntu resolute-proposed/multiverse Sources [50.0 kB]
 60s Get:8 http://ftpmaster.internal/ubuntu resolute-proposed/restricted Sources [9848 B]
 60s Get:9 http://ftpmaster.internal/ubuntu resolute-proposed/main s390x Packages [198 kB]
 61s Get:10 http://ftpmaster.internal/ubuntu resolute-proposed/restricted s390x Packages [940 B]
 61s Get:11 http://ftpmaster.internal/ubuntu resolute-proposed/universe s390x Packages [1727 kB]
 61s Get:12 http://ftpmaster.internal/ubuntu resolute-proposed/multiverse s390x Packages [28.9 kB]
 61s Fetched 4647 kB in 2s (2470 kB/s)
 62s Reading package lists...
 62s Hit:1 http://ftpmaster.internal/ubuntu resolute-proposed InRelease
 62s Hit:2 http://ftpmaster.internal/ubuntu resolute InRelease
 63s Hit:3 http://ftpmaster.internal/ubuntu resolute-updates InRelease
 63s Hit:4 http://ftpmaster.internal/ubuntu resolute-security InRelease
 63s Reading package lists...
 63s Reading package lists...
 64s Building dependency tree...
 64s Reading state information...
 64s Calculating upgrade...
 64s The following packages will be upgraded:
 64s   gcc-15-base libatomic1 libfribidi0 libgcc-s1 libstdc++6 publicsuffix
 64s 6 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 64s Need to get 1174 kB of archives.
 64s After this operation, 14.3 kB of additional disk space will be used.
 64s Get:1 http://ftpmaster.internal/ubuntu resolute/main s390x libatomic1 s390x 15.2.0-7ubuntu1 [9488 B]
 64s Get:2 http://ftpmaster.internal/ubuntu resolute/main s390x libstdc++6 s390x 15.2.0-7ubuntu1 [907 kB]
 65s Get:3 http://ftpmaster.internal/ubuntu resolute/main s390x gcc-15-base s390x 15.2.0-7ubuntu1 [58.4 kB]
 65s Get:4 http://ftpmaster.internal/ubuntu resolute/main s390x libgcc-s1 s390x 15.2.0-7ubuntu1 [35.7 kB]
 65s Get:5 http://ftpmaster.internal/ubuntu resolute/main s390x libfribidi0 s390x 1.0.16-3 [27.6 kB]
 65s Get:6 http://ftpmaster.internal/ubuntu resolute/main s390x publicsuffix all 20251016.1743-0.1 [136 kB]
 66s dpkg-preconfigure: unable to re-open stdin: No such file or directory
 66s Fetched 1174 kB in 2s (653 kB/s)
 66s (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 56953 files and directories currently installed.)
 66s Preparing to unpack .../libatomic1_15.2.0-7ubuntu1_s390x.deb ...
 66s Unpacking libatomic1:s390x (15.2.0-7ubuntu1) over (15.2.0-5ubuntu1) ...
 66s Preparing to unpack .../libstdc++6_15.2.0-7ubuntu1_s390x.deb ...
 66s Unpacking libstdc++6:s390x (15.2.0-7ubuntu1) over (15.2.0-5ubuntu1) ...
 66s Preparing to unpack .../gcc-15-base_15.2.0-7ubuntu1_s390x.deb ...
 66s Unpacking gcc-15-base:s390x (15.2.0-7ubuntu1) over (15.2.0-5ubuntu1) ...
 66s Setting up gcc-15-base:s390x (15.2.0-7ubuntu1) ...
 66s (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 56953 files and directories currently installed.)
 66s Preparing to unpack .../libgcc-s1_15.2.0-7ubuntu1_s390x.deb ...
 66s Unpacking libgcc-s1:s390x (15.2.0-7ubuntu1) over (15.2.0-5ubuntu1) ...
 66s Setting up libgcc-s1:s390x (15.2.0-7ubuntu1) ...
 66s (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 56953 files and directories currently installed.)
 66s Preparing to unpack .../libfribidi0_1.0.16-3_s390x.deb ...
 66s Unpacking libfribidi0:s390x (1.0.16-3) over (1.0.16-1) ...
 66s Preparing to unpack .../publicsuffix_20251016.1743-0.1_all.deb ...
 66s Unpacking publicsuffix (20251016.1743-0.1) over (20250328.1952-0.1) ...
 66s Setting up libfribidi0:s390x (1.0.16-3) ...
 66s Setting up libatomic1:s390x (15.2.0-7ubuntu1) ...
 66s Setting up publicsuffix (20251016.1743-0.1) ...
 66s Setting up libstdc++6:s390x (15.2.0-7ubuntu1) ...
 66s Processing triggers for libc-bin (2.42-0ubuntu3) ...
 66s autopkgtest [10:49:23]: upgrading testbed (apt dist-upgrade and autopurge)
 67s Reading package lists...
 67s Building dependency tree...
 67s Reading state information...
 67s Calculating upgrade...
 67s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 67s Reading package lists...
 67s Building dependency tree...
 67s Reading state information...
 67s Solving dependencies...
 67s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 70s autopkgtest [10:49:27]: testbed running kernel: Linux 6.17.0-5-generic #5-Ubuntu SMP Mon Sep 22 08:56:47 UTC 2025
 70s autopkgtest [10:49:27]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost
 74s Get:1 http://ftpmaster.internal/ubuntu resolute/universe xgboost 3.0.0-1 (dsc) [2342 B]
 74s Get:2 http://ftpmaster.internal/ubuntu resolute/universe xgboost 3.0.0-1 (tar) [2271 kB]
 74s Get:3 http://ftpmaster.internal/ubuntu resolute/universe xgboost 3.0.0-1 (diff) [23.2 kB]
 74s gpgv: Signature made Fri Mar 21 16:56:22 2025 UTC
 74s gpgv:                using RSA key 638BC75EC1E5C589067E35DE62645EB35F686A8A
 74s gpgv:                issuer "lumin@debian.org"
 74s gpgv: Can't check signature: No public key
 74s dpkg-source: warning: cannot verify inline signature for ./xgboost_3.0.0-1.dsc: no acceptable signature found
 74s autopkgtest [10:49:31]: testing package xgboost version 3.0.0-1
 75s autopkgtest [10:49:32]: build not needed
 84s autopkgtest [10:49:41]: test run-demos: preparing testbed
 84s Reading package lists...
 85s Building dependency tree...
 85s Reading state information...
 85s Solving dependencies...
 85s The following NEW packages will be installed:
 85s   blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3
 85s   libdeflate0 libdmlc0t64 libfontconfig1 libfreetype6 libgfortran5 libgomp1
 85s   libgraphite2-3 libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8
 85s   liblapack3 liblcms2-2 libopenjp2-7 libqhull-r8.0 libraqm0 libsharpyuv0
 85s   libtcl8.6 libtiff6 libtk8.6 libwebp7 libwebpdemux2 libwebpmux3 libxft2
 85s   libxgboost-dev libxgboost0 libxrender1 libxslt1.1 libxss1 libzopfli1
 85s   python-matplotlib-data python3-brotli python3-contourpy python3-cycler
 85s   python3-dateutil python3-decorator python3-fonttools python3-fs
 85s   python3-joblib python3-kiwisolver python3-lxml python3-lz4
 85s   python3-matplotlib python3-mpmath python3-numpy python3-numpy-dev
 85s   python3-packaging python3-pandas python3-pandas-lib python3-pil
 85s   python3-pil.imagetk python3-platformdirs python3-pytz python3-scipy
 85s   python3-sklearn python3-sklearn-lib python3-sympy python3-threadpoolctl
 85s   python3-tk python3-ufolib2 python3-unicodedata2 python3-xgboost
 85s   python3-zopfli python3.13-tk python3.14-tk tk8.6-blt2.5 unicode-data
 85s   x11-common
 85s 0 upgraded, 75 newly installed, 0 to remove and 0 not upgraded.
 85s Need to get 96.6 MB of archives.
 85s After this operation, 441 MB of additional disk space will be used.
 85s Get:1 http://ftpmaster.internal/ubuntu resolute/main s390x python3-numpy-dev s390x 1:2.2.4+ds-1ubuntu1 [147 kB]
 85s Get:2 http://ftpmaster.internal/ubuntu resolute/main s390x libblas3 s390x 3.12.1-6build1 [245 kB]
 85s Get:3 http://ftpmaster.internal/ubuntu resolute/main s390x libgfortran5 s390x 15.2.0-7ubuntu1 [629 kB]
 86s Get:4 http://ftpmaster.internal/ubuntu resolute/main s390x liblapack3 s390x 3.12.1-6build1 [2910 kB]
 89s Get:5 http://ftpmaster.internal/ubuntu resolute/main s390x python3-numpy s390x 1:2.2.4+ds-1ubuntu1 [4399 kB]
 92s Get:6 http://ftpmaster.internal/ubuntu resolute/main s390x libtcl8.6 s390x 8.6.17+dfsg-1 [1034 kB]
 93s Get:7 http://ftpmaster.internal/ubuntu resolute/main s390x libfreetype6 s390x 2.13.3+dfsg-1build1 [430 kB]
 93s Get:8 http://ftpmaster.internal/ubuntu resolute/main s390x fonts-dejavu-mono all 2.37-8 [502 kB]
 93s Get:9 http://ftpmaster.internal/ubuntu resolute/main s390x fonts-dejavu-core all 2.37-8 [835 kB]
 94s Get:10 http://ftpmaster.internal/ubuntu resolute/main s390x fontconfig-config s390x 2.15.0-2.3ubuntu1 [38.1 kB]
 94s Get:11 http://ftpmaster.internal/ubuntu resolute/main s390x libfontconfig1 s390x 2.15.0-2.3ubuntu1 [149 kB]
 94s Get:12 http://ftpmaster.internal/ubuntu resolute/main s390x libxrender1 s390x 1:0.9.12-1 [20.9 kB]
 94s Get:13 http://ftpmaster.internal/ubuntu resolute/main s390x libxft2 s390x 2.3.6-1build1 [49.6 kB]
 94s Get:14 http://ftpmaster.internal/ubuntu resolute/main s390x x11-common all 1:7.7+24ubuntu1 [22.4 kB]
 94s Get:15 http://ftpmaster.internal/ubuntu resolute/main s390x libxss1 s390x 1:1.2.3-1build3 [7396 B]
 94s Get:16 http://ftpmaster.internal/ubuntu resolute/main s390x libtk8.6 s390x 8.6.17-1 [828 kB]
 95s Get:17 http://ftpmaster.internal/ubuntu resolute/main s390x tk8.6-blt2.5 s390x 2.5.3+dfsg-8 [657 kB]
 95s Get:18 http://ftpmaster.internal/ubuntu resolute/main s390x blt s390x 2.5.3+dfsg-8 [4826 B]
 95s Get:19 http://ftpmaster.internal/ubuntu resolute/universe s390x fonts-lyx all 2.4.4-1 [171 kB]
 95s Get:20 http://ftpmaster.internal/ubuntu resolute/main s390x libdeflate0 s390x 1.23-2 [46.0 kB]
 95s Get:21 http://ftpmaster.internal/ubuntu resolute/main s390x libgomp1 s390x 15.2.0-7ubuntu1 [154 kB]
 95s Get:22 http://ftpmaster.internal/ubuntu resolute/universe s390x libdmlc0t64 s390x 0.5+git20240614.1334185-1 [195 kB]
 95s Get:23 http://ftpmaster.internal/ubuntu resolute/main s390x libgraphite2-3 s390x 1.3.14-2ubuntu1 [79.8 kB]
 95s Get:24 http://ftpmaster.internal/ubuntu resolute/main s390x libharfbuzz0b s390x 12.1.0-1 [576 kB]
 96s Get:25 http://ftpmaster.internal/ubuntu resolute/main s390x libimagequant0 s390x 2.18.0-1build1 [43.3 kB]
 96s Get:26 http://ftpmaster.internal/ubuntu resolute/main s390x libjpeg-turbo8 s390x 2.1.5-4ubuntu2 [147 kB]
 96s Get:27 http://ftpmaster.internal/ubuntu resolute/main s390x libjpeg8 s390x 8c-2ubuntu11 [2146 B]
 96s Get:28 http://ftpmaster.internal/ubuntu resolute/main s390x liblcms2-2 s390x 2.16-2 [175 kB]
 96s Get:29 http://ftpmaster.internal/ubuntu resolute/universe s390x libqhull-r8.0 s390x 2020.2-6build1 [199 kB]
 96s Get:30 http://ftpmaster.internal/ubuntu resolute/main s390x libraqm0 s390x 0.10.3-1 [15.6 kB]
 96s Get:31 http://ftpmaster.internal/ubuntu resolute/main s390x libsharpyuv0 s390x 1.5.0-0.1 [16.7 kB]
 96s Get:32 http://ftpmaster.internal/ubuntu resolute/main s390x libjbig0 s390x 2.1-6.1ubuntu2 [33.1 kB]
 96s Get:33 http://ftpmaster.internal/ubuntu resolute/main s390x libwebp7 s390x 1.5.0-0.1 [210 kB]
 96s Get:34 http://ftpmaster.internal/ubuntu resolute/main s390x libtiff6 s390x 4.7.0-3ubuntu3 [222 kB]
 96s Get:35 http://ftpmaster.internal/ubuntu resolute/main s390x libwebpdemux2 s390x 1.5.0-0.1 [12.6 kB]
 96s Get:36 http://ftpmaster.internal/ubuntu resolute/main s390x libwebpmux3 s390x 1.5.0-0.1 [25.8 kB]
 96s Get:37 http://ftpmaster.internal/ubuntu resolute/universe s390x libxgboost0 s390x 3.0.0-1 [1851 kB]
 97s Get:38 http://ftpmaster.internal/ubuntu resolute/universe s390x libxgboost-dev s390x 3.0.0-1 [77.7 kB]
 97s Get:39 http://ftpmaster.internal/ubuntu resolute/main s390x libxslt1.1 s390x 1.1.43-0.3 [163 kB]
 97s Get:40 http://ftpmaster.internal/ubuntu resolute/universe s390x libzopfli1 s390x 1.0.3-3 [124 kB]
 97s Get:41 http://ftpmaster.internal/ubuntu resolute/universe s390x python-matplotlib-data all 3.10.7+dfsg1-1 [2930 kB]
 98s Get:42 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-brotli s390x 1.1.0-2build6 [386 kB]
 98s Get:43 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-contourpy s390x 1.3.1-1build2 [266 kB]
 98s Get:44 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-cycler all 0.12.1-2 [9850 B]
 98s Get:45 http://ftpmaster.internal/ubuntu resolute/main s390x python3-dateutil all 2.9.0-4 [80.3 kB]
 98s Get:46 http://ftpmaster.internal/ubuntu resolute/main s390x python3-decorator all 5.2.1-2 [28.1 kB]
 98s Get:47 http://ftpmaster.internal/ubuntu resolute/main s390x python3-platformdirs all 4.3.7-1 [16.9 kB]
 98s Get:48 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-fs all 2.4.16-7 [90.8 kB]
 98s Get:49 http://ftpmaster.internal/ubuntu resolute/main s390x python3-lxml s390x 6.0.1-1build1 [2480 kB]
 99s Get:50 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-lz4 s390x 4.4.4+dfsg-3 [27.4 kB]
 99s Get:51 http://ftpmaster.internal/ubuntu resolute-proposed/universe s390x python3-scipy s390x 1.16.3-1 [19.6 MB]
101s Get:52 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-mpmath all 1.3.0-1 [425 kB]
101s Get:53 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-sympy all 1.13.3-5 [4229 kB]
101s Get:54 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-ufolib2 all 0.17.1+dfsg1-1 [33.5 kB]
101s Get:55 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-unicodedata2 s390x 16.0.0+ds-1build1 [399 kB]
101s Get:56 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-zopfli s390x 0.2.3.post1-1 [10.9 kB]
101s Get:57 http://ftpmaster.internal/ubuntu resolute/universe s390x unicode-data all 16.0.0-1 [9513 kB]
102s Get:58 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-fonttools s390x 4.57.0-2build1 [1773 kB]
102s Get:59 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-joblib all 1.4.2-4 [205 kB]
102s Get:60 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-kiwisolver s390x 1.4.10~rc0-1 [65.0 kB]
102s Get:61 http://ftpmaster.internal/ubuntu resolute/main s390x libopenjp2-7 s390x 2.5.3-2.1 [207 kB]
102s Get:62 http://ftpmaster.internal/ubuntu resolute/main s390x python3-pil s390x 11.3.0-1ubuntu2 [542 kB]
102s Get:63 http://ftpmaster.internal/ubuntu resolute/main s390x python3.14-tk s390x 3.14.0-4 [109 kB]
102s Get:64 http://ftpmaster.internal/ubuntu resolute/main s390x python3.13-tk s390x 3.13.9-1 [109 kB]
102s Get:65 http://ftpmaster.internal/ubuntu resolute/main s390x python3-tk s390x 3.13.9-1 [8948 B]
102s Get:66 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-pil.imagetk s390x 11.3.0-1ubuntu2 [9922 B]
102s Get:67 http://ftpmaster.internal/ubuntu resolute/main s390x python3-packaging all 25.0-1 [52.8 kB]
102s Get:68 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-matplotlib s390x 3.10.7+dfsg1-1 [17.2 MB]
102s Get:69 http://ftpmaster.internal/ubuntu resolute/main s390x python3-pytz all 2025.2-4 [32.3 kB]
102s Get:70 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-pandas-lib s390x 2.3.3+dfsg-1ubuntu1 [8668 kB]
103s Get:71 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-pandas all 2.3.3+dfsg-1ubuntu1 [2948 kB]
103s Get:72 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-threadpoolctl all 3.1.0-1 [21.3 kB]
103s Get:73 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-sklearn-lib s390x 1.4.2+dfsg-8 [4262 kB]
103s Get:74 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-sklearn all 1.4.2+dfsg-8 [2258 kB]
103s Get:75 http://ftpmaster.internal/ubuntu resolute/universe s390x python3-xgboost s390x 3.0.0-1 [130 kB]
104s Fetched 96.6 MB in 19s (5209 kB/s)
104s Selecting previously unselected package python3-numpy-dev:s390x.
104s (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 56953 files and directories currently installed.)
104s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.4+ds-1ubuntu1_s390x.deb ...
104s Unpacking python3-numpy-dev:s390x (1:2.2.4+ds-1ubuntu1) ...
104s Selecting previously unselected package libblas3:s390x.
104s Preparing to unpack .../01-libblas3_3.12.1-6build1_s390x.deb ...
104s Unpacking libblas3:s390x (3.12.1-6build1) ...
104s Selecting previously unselected package libgfortran5:s390x.
104s Preparing to unpack .../02-libgfortran5_15.2.0-7ubuntu1_s390x.deb ...
104s Unpacking libgfortran5:s390x (15.2.0-7ubuntu1) ...
104s Selecting previously unselected package liblapack3:s390x.
104s Preparing to unpack .../03-liblapack3_3.12.1-6build1_s390x.deb ...
104s Unpacking liblapack3:s390x (3.12.1-6build1) ...
104s Selecting previously unselected package python3-numpy.
104s Preparing to unpack .../04-python3-numpy_1%3a2.2.4+ds-1ubuntu1_s390x.deb ...
104s Unpacking python3-numpy (1:2.2.4+ds-1ubuntu1) ...
104s Selecting previously unselected package libtcl8.6:s390x.
104s Preparing to unpack .../05-libtcl8.6_8.6.17+dfsg-1_s390x.deb ...
104s Unpacking libtcl8.6:s390x (8.6.17+dfsg-1) ...
104s Selecting previously unselected package libfreetype6:s390x.
104s Preparing to unpack .../06-libfreetype6_2.13.3+dfsg-1build1_s390x.deb ...
104s Unpacking libfreetype6:s390x (2.13.3+dfsg-1build1) ...
104s Selecting previously unselected package fonts-dejavu-mono.
104s Preparing to unpack .../07-fonts-dejavu-mono_2.37-8_all.deb ...
104s Unpacking fonts-dejavu-mono (2.37-8) ...
104s Selecting previously unselected package fonts-dejavu-core.
104s Preparing to unpack .../08-fonts-dejavu-core_2.37-8_all.deb ...
104s Unpacking fonts-dejavu-core (2.37-8) ...
104s Selecting previously unselected package fontconfig-config.
104s Preparing to unpack .../09-fontconfig-config_2.15.0-2.3ubuntu1_s390x.deb ...
104s Unpacking fontconfig-config (2.15.0-2.3ubuntu1) ...
104s Selecting previously unselected package libfontconfig1:s390x.
104s Preparing to unpack .../10-libfontconfig1_2.15.0-2.3ubuntu1_s390x.deb ...
104s Unpacking libfontconfig1:s390x (2.15.0-2.3ubuntu1) ...
104s Selecting previously unselected package libxrender1:s390x.
104s Preparing to unpack .../11-libxrender1_1%3a0.9.12-1_s390x.deb ...
104s Unpacking libxrender1:s390x (1:0.9.12-1) ...
104s Selecting previously unselected package libxft2:s390x.
104s Preparing to unpack .../12-libxft2_2.3.6-1build1_s390x.deb ...
104s Unpacking libxft2:s390x (2.3.6-1build1) ...
104s Selecting previously unselected package x11-common.
104s Preparing to unpack .../13-x11-common_1%3a7.7+24ubuntu1_all.deb ...
104s Unpacking x11-common (1:7.7+24ubuntu1) ...
104s Selecting previously unselected package libxss1:s390x.
104s Preparing to unpack .../14-libxss1_1%3a1.2.3-1build3_s390x.deb ...
104s Unpacking libxss1:s390x (1:1.2.3-1build3) ...
104s Selecting previously unselected package libtk8.6:s390x.
104s Preparing to unpack .../15-libtk8.6_8.6.17-1_s390x.deb ...
104s Unpacking libtk8.6:s390x (8.6.17-1) ...
104s Selecting previously unselected package tk8.6-blt2.5.
104s Preparing to unpack .../16-tk8.6-blt2.5_2.5.3+dfsg-8_s390x.deb ...
104s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-8) ...
104s Selecting previously unselected package blt.
104s Preparing to unpack .../17-blt_2.5.3+dfsg-8_s390x.deb ...
104s Unpacking blt (2.5.3+dfsg-8) ...
104s Selecting previously unselected package fonts-lyx.
104s Preparing to unpack .../18-fonts-lyx_2.4.4-1_all.deb ...
104s Unpacking fonts-lyx (2.4.4-1) ...
104s Selecting previously unselected package libdeflate0:s390x.
104s Preparing to unpack .../19-libdeflate0_1.23-2_s390x.deb ...
104s Unpacking libdeflate0:s390x (1.23-2) ...
104s Selecting previously unselected package libgomp1:s390x.
104s Preparing to unpack .../20-libgomp1_15.2.0-7ubuntu1_s390x.deb ...
104s Unpacking libgomp1:s390x (15.2.0-7ubuntu1) ...
104s Selecting previously unselected package libdmlc0t64:s390x.
104s Preparing to unpack .../21-libdmlc0t64_0.5+git20240614.1334185-1_s390x.deb ...
104s Unpacking libdmlc0t64:s390x (0.5+git20240614.1334185-1) ...
104s Selecting previously unselected package libgraphite2-3:s390x.
104s Preparing to unpack .../22-libgraphite2-3_1.3.14-2ubuntu1_s390x.deb ...
104s Unpacking libgraphite2-3:s390x (1.3.14-2ubuntu1) ...
105s Selecting previously unselected package libharfbuzz0b:s390x.
105s Preparing to unpack .../23-libharfbuzz0b_12.1.0-1_s390x.deb ...
105s Unpacking libharfbuzz0b:s390x (12.1.0-1) ...
105s Selecting previously unselected package libimagequant0:s390x.
105s Preparing to unpack .../24-libimagequant0_2.18.0-1build1_s390x.deb ...
105s Unpacking libimagequant0:s390x (2.18.0-1build1) ...
105s Selecting previously unselected package libjpeg-turbo8:s390x.
105s Preparing to unpack .../25-libjpeg-turbo8_2.1.5-4ubuntu2_s390x.deb ...
105s Unpacking libjpeg-turbo8:s390x (2.1.5-4ubuntu2) ...
105s Selecting previously unselected package libjpeg8:s390x.
105s Preparing to unpack .../26-libjpeg8_8c-2ubuntu11_s390x.deb ...
105s Unpacking libjpeg8:s390x (8c-2ubuntu11) ...
105s Selecting previously unselected package liblcms2-2:s390x.
105s Preparing to unpack .../27-liblcms2-2_2.16-2_s390x.deb ...
105s Unpacking liblcms2-2:s390x (2.16-2) ...
105s Selecting previously unselected package libqhull-r8.0:s390x.
105s Preparing to unpack .../28-libqhull-r8.0_2020.2-6build1_s390x.deb ...
105s Unpacking libqhull-r8.0:s390x (2020.2-6build1) ...
105s Selecting previously unselected package libraqm0:s390x.
105s Preparing to unpack .../29-libraqm0_0.10.3-1_s390x.deb ...
105s Unpacking libraqm0:s390x (0.10.3-1) ...
105s Selecting previously unselected package libsharpyuv0:s390x.
105s Preparing to unpack .../30-libsharpyuv0_1.5.0-0.1_s390x.deb ...
105s Unpacking libsharpyuv0:s390x (1.5.0-0.1) ...
105s Selecting previously unselected package libjbig0:s390x.
105s Preparing to unpack .../31-libjbig0_2.1-6.1ubuntu2_s390x.deb ...
105s Unpacking libjbig0:s390x (2.1-6.1ubuntu2) ...
105s Selecting previously unselected package libwebp7:s390x.
105s Preparing to unpack .../32-libwebp7_1.5.0-0.1_s390x.deb ...
105s Unpacking libwebp7:s390x (1.5.0-0.1) ...
105s Selecting previously unselected package libtiff6:s390x.
105s Preparing to unpack .../33-libtiff6_4.7.0-3ubuntu3_s390x.deb ...
105s Unpacking libtiff6:s390x (4.7.0-3ubuntu3) ...
105s Selecting previously unselected package libwebpdemux2:s390x.
105s Preparing to unpack .../34-libwebpdemux2_1.5.0-0.1_s390x.deb ...
105s Unpacking libwebpdemux2:s390x (1.5.0-0.1) ...
105s Selecting previously unselected package libwebpmux3:s390x.
105s Preparing to unpack .../35-libwebpmux3_1.5.0-0.1_s390x.deb ...
105s Unpacking libwebpmux3:s390x (1.5.0-0.1) ...
105s Selecting previously unselected package libxgboost0.
105s Preparing to unpack .../36-libxgboost0_3.0.0-1_s390x.deb ...
105s Unpacking libxgboost0 (3.0.0-1) ...
105s Selecting previously unselected package libxgboost-dev.
105s Preparing to unpack .../37-libxgboost-dev_3.0.0-1_s390x.deb ...
105s Unpacking libxgboost-dev (3.0.0-1) ...
105s Selecting previously unselected package libxslt1.1:s390x.
105s Preparing to unpack .../38-libxslt1.1_1.1.43-0.3_s390x.deb ...
105s Unpacking libxslt1.1:s390x (1.1.43-0.3) ...
105s Selecting previously unselected package libzopfli1.
105s Preparing to unpack .../39-libzopfli1_1.0.3-3_s390x.deb ...
105s Unpacking libzopfli1 (1.0.3-3) ...
105s Selecting previously unselected package python-matplotlib-data.
105s Preparing to unpack .../40-python-matplotlib-data_3.10.7+dfsg1-1_all.deb ...
105s Unpacking python-matplotlib-data (3.10.7+dfsg1-1) ...
105s Selecting previously unselected package python3-brotli.
105s Preparing to unpack .../41-python3-brotli_1.1.0-2build6_s390x.deb ...
105s Unpacking python3-brotli (1.1.0-2build6) ...
105s Selecting previously unselected package python3-contourpy.
105s Preparing to unpack .../42-python3-contourpy_1.3.1-1build2_s390x.deb ...
105s Unpacking python3-contourpy (1.3.1-1build2) ...
105s Selecting previously unselected package python3-cycler.
105s Preparing to unpack .../43-python3-cycler_0.12.1-2_all.deb ...
105s Unpacking python3-cycler (0.12.1-2) ...
105s Selecting previously unselected package python3-dateutil.
105s Preparing to unpack .../44-python3-dateutil_2.9.0-4_all.deb ...
105s Unpacking python3-dateutil (2.9.0-4) ...
105s Selecting previously unselected package python3-decorator.
105s Preparing to unpack .../45-python3-decorator_5.2.1-2_all.deb ...
105s Unpacking python3-decorator (5.2.1-2) ...
105s Selecting previously unselected package python3-platformdirs.
105s Preparing to unpack .../46-python3-platformdirs_4.3.7-1_all.deb ...
105s Unpacking python3-platformdirs (4.3.7-1) ...
105s Selecting previously unselected package python3-fs.
105s Preparing to unpack .../47-python3-fs_2.4.16-7_all.deb ...
105s Unpacking python3-fs (2.4.16-7) ...
105s Selecting previously unselected package python3-lxml:s390x.
105s Preparing to unpack .../48-python3-lxml_6.0.1-1build1_s390x.deb ...
105s Unpacking python3-lxml:s390x (6.0.1-1build1) ...
105s Selecting previously unselected package python3-lz4.
105s Preparing to unpack .../49-python3-lz4_4.4.4+dfsg-3_s390x.deb ...
105s Unpacking python3-lz4 (4.4.4+dfsg-3) ...
105s Selecting previously unselected package python3-scipy.
105s Preparing to unpack .../50-python3-scipy_1.16.3-1_s390x.deb ...
105s Unpacking python3-scipy (1.16.3-1) ...
105s Selecting previously unselected package python3-mpmath.
105s Preparing to unpack .../51-python3-mpmath_1.3.0-1_all.deb ...
105s Unpacking python3-mpmath (1.3.0-1) ...
105s Selecting previously unselected package python3-sympy.
105s Preparing to unpack .../52-python3-sympy_1.13.3-5_all.deb ...
105s Unpacking python3-sympy (1.13.3-5) ...
106s Selecting previously unselected package python3-ufolib2.
106s Preparing to unpack .../53-python3-ufolib2_0.17.1+dfsg1-1_all.deb ...
106s Unpacking python3-ufolib2 (0.17.1+dfsg1-1) ...
106s Selecting previously unselected package python3-unicodedata2.
106s Preparing to unpack .../54-python3-unicodedata2_16.0.0+ds-1build1_s390x.deb ...
106s Unpacking python3-unicodedata2 (16.0.0+ds-1build1) ...
106s Selecting previously unselected package python3-zopfli.
106s Preparing to unpack .../55-python3-zopfli_0.2.3.post1-1_s390x.deb ...
106s Unpacking python3-zopfli (0.2.3.post1-1) ...
106s Selecting previously unselected package unicode-data.
106s Preparing to unpack .../56-unicode-data_16.0.0-1_all.deb ...
106s Unpacking unicode-data (16.0.0-1) ...
106s Selecting previously unselected package python3-fonttools.
106s Preparing to unpack .../57-python3-fonttools_4.57.0-2build1_s390x.deb ...
106s Unpacking python3-fonttools (4.57.0-2build1) ...
106s Selecting previously unselected package python3-joblib.
106s Preparing to unpack .../58-python3-joblib_1.4.2-4_all.deb ...
106s Unpacking python3-joblib (1.4.2-4) ...
106s Selecting previously unselected package python3-kiwisolver.
106s Preparing to unpack .../59-python3-kiwisolver_1.4.10~rc0-1_s390x.deb ...
106s Unpacking python3-kiwisolver (1.4.10~rc0-1) ...
106s Selecting previously unselected package libopenjp2-7:s390x.
106s Preparing to unpack .../60-libopenjp2-7_2.5.3-2.1_s390x.deb ...
106s Unpacking libopenjp2-7:s390x (2.5.3-2.1) ...
106s Selecting previously unselected package python3-pil:s390x.
106s Preparing to unpack .../61-python3-pil_11.3.0-1ubuntu2_s390x.deb ...
106s Unpacking python3-pil:s390x (11.3.0-1ubuntu2) ...
106s Selecting previously unselected package python3.14-tk.
106s Preparing to unpack .../62-python3.14-tk_3.14.0-4_s390x.deb ...
106s Unpacking python3.14-tk (3.14.0-4) ...
106s Selecting previously unselected package python3.13-tk.
106s Preparing to unpack .../63-python3.13-tk_3.13.9-1_s390x.deb ...
106s Unpacking python3.13-tk (3.13.9-1) ...
106s Selecting previously unselected package python3-tk:s390x.
106s Preparing to unpack .../64-python3-tk_3.13.9-1_s390x.deb ...
106s Unpacking python3-tk:s390x (3.13.9-1) ...
106s Selecting previously unselected package python3-pil.imagetk:s390x.
106s Preparing to unpack .../65-python3-pil.imagetk_11.3.0-1ubuntu2_s390x.deb ...
106s Unpacking python3-pil.imagetk:s390x (11.3.0-1ubuntu2) ...
106s Selecting previously unselected package python3-packaging.
106s Preparing to unpack .../66-python3-packaging_25.0-1_all.deb ...
106s Unpacking python3-packaging (25.0-1) ...
106s Selecting previously unselected package python3-matplotlib.
106s Preparing to unpack .../67-python3-matplotlib_3.10.7+dfsg1-1_s390x.deb ...
106s Unpacking python3-matplotlib (3.10.7+dfsg1-1) ...
106s Selecting previously unselected package python3-pytz.
106s Preparing to unpack .../68-python3-pytz_2025.2-4_all.deb ...
106s Unpacking python3-pytz (2025.2-4) ...
106s Selecting previously unselected package python3-pandas-lib:s390x.
106s Preparing to unpack .../69-python3-pandas-lib_2.3.3+dfsg-1ubuntu1_s390x.deb ...
106s Unpacking python3-pandas-lib:s390x (2.3.3+dfsg-1ubuntu1) ...
106s Selecting previously unselected package python3-pandas.
106s Preparing to unpack .../70-python3-pandas_2.3.3+dfsg-1ubuntu1_all.deb ...
106s Unpacking python3-pandas (2.3.3+dfsg-1ubuntu1) ...
107s Selecting previously unselected package python3-threadpoolctl.
107s Preparing to unpack .../71-python3-threadpoolctl_3.1.0-1_all.deb ...
107s Unpacking python3-threadpoolctl (3.1.0-1) ...
107s Selecting previously unselected package python3-sklearn-lib:s390x.
107s Preparing to unpack .../72-python3-sklearn-lib_1.4.2+dfsg-8_s390x.deb ...
107s Unpacking python3-sklearn-lib:s390x (1.4.2+dfsg-8) ...
107s Selecting previously unselected package python3-sklearn.
107s Preparing to unpack .../73-python3-sklearn_1.4.2+dfsg-8_all.deb ...
107s Unpacking python3-sklearn (1.4.2+dfsg-8) ...
107s Selecting previously unselected package python3-xgboost.
107s Preparing to unpack .../74-python3-xgboost_3.0.0-1_s390x.deb ...
107s Unpacking python3-xgboost (3.0.0-1) ...
107s Setting up libgraphite2-3:s390x (1.3.14-2ubuntu1) ...
107s Setting up liblcms2-2:s390x (2.16-2) ...
107s Setting up libsharpyuv0:s390x (1.5.0-0.1) ...
107s Setting up libxrender1:s390x (1:0.9.12-1) ...
107s Setting up python3-joblib (1.4.2-4) ...
107s Setting up python3-lz4 (4.4.4+dfsg-3) ...
107s Setting up python3-unicodedata2 (16.0.0+ds-1build1) ...
107s Setting up fonts-lyx (2.4.4-1) ...
107s Setting up python3-threadpoolctl (3.1.0-1) ...
107s Setting up x11-common (1:7.7+24ubuntu1) ...
107s Setting up libdeflate0:s390x (1.23-2) ...
107s Setting up libqhull-r8.0:s390x (2020.2-6build1) ...
107s Setting up python3-pytz (2025.2-4) ...
108s Setting up libgomp1:s390x (15.2.0-7ubuntu1) ...
108s Setting up libjbig0:s390x (2.1-6.1ubuntu2) ...
108s Setting up python3-platformdirs (4.3.7-1) ...
108s Setting up python3-fs (2.4.16-7) ...
108s Setting up unicode-data (16.0.0-1) ...
108s Setting up python3-decorator (5.2.1-2) ...
108s Setting up libblas3:s390x (3.12.1-6build1) ...
108s update-alternatives: using /usr/lib/s390x-linux-gnu/blas/libblas.so.3 to provide /usr/lib/s390x-linux-gnu/libblas.so.3 (libblas.so.3-s390x-linux-gnu) in auto mode
108s Setting up python3-packaging (25.0-1) ...
108s Setting up libzopfli1 (1.0.3-3) ...
108s Setting up libfreetype6:s390x (2.13.3+dfsg-1build1) ...
108s Setting up python3-brotli (1.1.0-2build6) ...
108s Setting up python3-cycler (0.12.1-2) ...
108s Setting up libimagequant0:s390x (2.18.0-1build1) ...
108s Setting up fonts-dejavu-mono (2.37-8) ...
108s Setting up python3-kiwisolver (1.4.10~rc0-1) ...
108s Setting up python3-numpy-dev:s390x (1:2.2.4+ds-1ubuntu1) ...
108s Setting up libtcl8.6:s390x (8.6.17+dfsg-1) ...
108s Setting up fonts-dejavu-core (2.37-8) ...
108s Setting up libjpeg-turbo8:s390x (2.1.5-4ubuntu2) ...
108s Setting up libgfortran5:s390x (15.2.0-7ubuntu1) ...
108s Setting up libwebp7:s390x (1.5.0-0.1) ...
108s Setting up libxslt1.1:s390x (1.1.43-0.3) ...
108s Setting up libopenjp2-7:s390x (2.5.3-2.1) ...
108s Setting up libharfbuzz0b:s390x (12.1.0-1) ...
108s Setting up python3-dateutil (2.9.0-4) ...
108s Setting up libxss1:s390x (1:1.2.3-1build3) ...
108s Setting up python3-mpmath (1.3.0-1) ...
109s Setting up python-matplotlib-data (3.10.7+dfsg1-1) ...
109s Setting up libwebpmux3:s390x (1.5.0-0.1) ...
109s Setting up libjpeg8:s390x (8c-2ubuntu11) ...
109s Setting up python3-sympy (1.13.3-5) ...
114s Setting up liblapack3:s390x (3.12.1-6build1) ...
114s update-alternatives: using /usr/lib/s390x-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/s390x-linux-gnu/liblapack.so.3 (liblapack.so.3-s390x-linux-gnu) in auto mode
114s Setting up libdmlc0t64:s390x (0.5+git20240614.1334185-1) ...
115s Setting up fontconfig-config (2.15.0-2.3ubuntu1) ...
115s Setting up libwebpdemux2:s390x (1.5.0-0.1) ...
115s Setting up python3-zopfli (0.2.3.post1-1) ...
115s Setting up libraqm0:s390x (0.10.3-1) ...
115s Setting up python3-numpy (1:2.2.4+ds-1ubuntu1) ...
116s Setting up python3-lxml:s390x (6.0.1-1build1) ...
116s Setting up libtiff6:s390x (4.7.0-3ubuntu3) ...
116s Setting up libxgboost0 (3.0.0-1) ...
116s Setting up python3-contourpy (1.3.1-1build2) ...
117s Setting up libfontconfig1:s390x (2.15.0-2.3ubuntu1) ...
117s Setting up libxft2:s390x (2.3.6-1build1) ...
117s Setting up python3-scipy (1.16.3-1) ...
120s Setting up libtk8.6:s390x (8.6.17-1) ...
120s Setting up python3-pandas-lib:s390x (2.3.3+dfsg-1ubuntu1) ...
120s Setting up python3-sklearn-lib:s390x (1.4.2+dfsg-8) ...
120s Setting up python3.13-tk (3.13.9-1) ...
120s Setting up python3-pil:s390x (11.3.0-1ubuntu2) ...
120s Setting up python3-xgboost (3.0.0-1) ...
120s Setting up python3-pandas (2.3.3+dfsg-1ubuntu1) ...
124s Setting up libxgboost-dev (3.0.0-1) ...
124s Setting up python3-sklearn (1.4.2+dfsg-8) ...
126s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ...
126s Setting up python3.14-tk (3.14.0-4) ...
126s Setting up blt (2.5.3+dfsg-8) ...
126s Setting up python3-tk:s390x (3.13.9-1) ...
126s Setting up python3-pil.imagetk:s390x (11.3.0-1ubuntu2) ...
126s Setting up python3-fonttools (4.57.0-2build1) ...
126s Setting up python3-ufolib2 (0.17.1+dfsg1-1) ...
126s Setting up python3-matplotlib (3.10.7+dfsg1-1) ...
128s Processing triggers for libc-bin (2.42-0ubuntu3) ...
128s Processing triggers for man-db (2.13.1-1) ...
130s autopkgtest [10:50:27]: test run-demos: [-----------------------
130s ==========================================
130s Running case basic_walkthrough.py...
131s [0]	eval-logloss:0.22646	train-logloss:0.23316
131s [1]	eval-logloss:0.13776	train-logloss:0.13654
131s error=0.021726
131s ==========================================
131s Running case boost_from_prediction.py...
131s /usr/lib/python3/dist-packages/xgboost/core.py:726: FutureWarning: Pass `evals` as keyword args.
131s   warnings.warn(msg, FutureWarning)
131s start running example to start from a initial prediction
131s [0]	eval-logloss:0.22646	train-logloss:0.23316
131s this is result of running from initial prediction
131s [0]	eval-logloss:0.13776	train-logloss:0.13654
132s ==========================================
132s Running case callbacks.py...
133s /usr/lib/python3/dist-packages/xgboost/training.py:183: UserWarning: [10:50:30] WARNING: ./src/context.cc:203: XGBoost is not compiled with CUDA support.
133s   bst.update(dtrain, iteration=i, fobj=obj)
133s [0]	Train-error:0.03052	Train-rmse:0.35853	Valid-error:0.06993	Valid-rmse:0.37188
133s [1]	Train-error:0.01174	Train-rmse:0.27788	Valid-error:0.04895	Valid-rmse:0.29736
133s [2]	Train-error:0.01174	Train-rmse:0.21899	Valid-error:0.04895	Valid-rmse:0.25041
133s [3]	Train-error:0.00939	Train-rmse:0.17905	Valid-error:0.02797	Valid-rmse:0.21429
133s [4]	Train-error:0.00939	Train-rmse:0.14888	Valid-error:0.02797	Valid-rmse:0.19724
133s [5]	Train-error:0.00704	Train-rmse:0.12821	Valid-error:0.03497	Valid-rmse:0.17971
133s [6]	Train-error:0.00469	Train-rmse:0.11071	Valid-error:0.02797	Valid-rmse:0.17009
133s [7]	Train-error:0.00469	Train-rmse:0.09919	Valid-error:0.02098	Valid-rmse:0.15695
133s [8]	Train-error:0.00469	Train-rmse:0.08978	Valid-error:0.02797	Valid-rmse:0.15360
133s [9]	Train-error:0.00469	Train-rmse:0.07909	Valid-error:0.02098	Valid-rmse:0.15248
133s [10]	Train-error:0.00469	Train-rmse:0.07333	Valid-error:0.02098	Valid-rmse:0.14818
133s [11]	Train-error:0.00469	Train-rmse:0.06779	Valid-error:0.02098	Valid-rmse:0.14471
133s [12]	Train-error:0.00235	Train-rmse:0.06300	Valid-error:0.01399	Valid-rmse:0.13529
133s [13]	Train-error:0.00000	Train-rmse:0.05838	Valid-error:0.02098	Valid-rmse:0.13502
133s [14]	Train-error:0.00000	Train-rmse:0.05413	Valid-error:0.01399	Valid-rmse:0.13698
133s [15]	Train-error:0.00000	Train-rmse:0.05023	Valid-error:0.01399	Valid-rmse:0.13285
133s [16]	Train-error:0.00000	Train-rmse:0.04712	Valid-error:0.02098	Valid-rmse:0.13552
133s [17]	Train-error:0.00000	Train-rmse:0.04514	Valid-error:0.01399	Valid-rmse:0.13528
133s [18]	Train-error:0.00000	Train-rmse:0.04291	Valid-error:0.00699	Valid-rmse:0.13421
133s [19]	Train-error:0.00000	Train-rmse:0.04086	Valid-error:0.00699	Valid-rmse:0.13367
134s [20]	Train-error:0.00000	Train-rmse:0.03883	Valid-error:0.01399	Valid-rmse:0.13125
134s [21]	Train-error:0.00000	Train-rmse:0.03786	Valid-error:0.00699	Valid-rmse:0.12954
134s [22]	Train-error:0.00000	Train-rmse:0.03788	Valid-error:0.00699	Valid-rmse:0.13011
134s [23]	Train-error:0.00000	Train-rmse:0.03493	Valid-error:0.00699	Valid-rmse:0.12789
134s [24]	Train-error:0.00000	Train-rmse:0.03399	Valid-error:0.00699	Valid-rmse:0.12883
134s [25]	Train-error:0.00000	Train-rmse:0.03287	Valid-error:0.01399	Valid-rmse:0.12970
134s [26]	Train-error:0.00000	Train-rmse:0.03279	Valid-error:0.01399	Valid-rmse:0.13061
134s [27]	Train-error:0.00000	Train-rmse:0.03239	Valid-error:0.01399	Valid-rmse:0.12984
134s [28]	Train-error:0.00000	Train-rmse:0.03031	Valid-error:0.00699	Valid-rmse:0.12765
134s [29]	Train-error:0.00000	Train-rmse:0.02970	Valid-error:0.01399	Valid-rmse:0.12680
134s [30]	Train-error:0.00000	Train-rmse:0.02895	Valid-error:0.01399	Valid-rmse:0.12737
134s [31]	Train-error:0.00000	Train-rmse:0.02796	Valid-error:0.01399	Valid-rmse:0.12914
134s [32]	Train-error:0.00000	Train-rmse:0.02679	Valid-error:0.01399	Valid-rmse:0.12561
134s [33]	Train-error:0.00000	Train-rmse:0.02598	Valid-error:0.01399	Valid-rmse:0.12555
134s [34]	Train-error:0.00000	Train-rmse:0.02596	Valid-error:0.02098	Valid-rmse:0.12634
134s [35]	Train-error:0.00000	Train-rmse:0.02501	Valid-error:0.01399	Valid-rmse:0.12329
134s [36]	Train-error:0.00000	Train-rmse:0.02476	Valid-error:0.01399	Valid-rmse:0.12289
134s [37]	Train-error:0.00000	Train-rmse:0.02418	Valid-error:0.01399	Valid-rmse:0.12018
134s [38]	Train-error:0.00000	Train-rmse:0.02343	Valid-error:0.01399	Valid-rmse:0.11774
134s [39]	Train-error:0.00000	Train-rmse:0.02338	Valid-error:0.01399	Valid-rmse:0.11879
134s [40]	Train-error:0.00000	Train-rmse:0.02323	Valid-error:0.01399	Valid-rmse:0.11893
134s [41]	Train-error:0.00000	Train-rmse:0.02305	Valid-error:0.01399	Valid-rmse:0.11864
134s [42]	Train-error:0.00000	Train-rmse:0.02286	Valid-error:0.01399	Valid-rmse:0.11915
134s [43]	Train-error:0.00000	Train-rmse:0.02256	Valid-error:0.01399	Valid-rmse:0.12078
134s [44]	Train-error:0.00000	Train-rmse:0.02245	Valid-error:0.01399	Valid-rmse:0.11933
134s [45]	Train-error:0.00000	Train-rmse:0.02260	Valid-error:0.01399	Valid-rmse:0.12035
134s [46]	Train-error:0.00000	Train-rmse:0.02192	Valid-error:0.01399	Valid-rmse:0.11796
134s [47]	Train-error:0.00000	Train-rmse:0.02207	Valid-error:0.01399	Valid-rmse:0.11899
134s [48]	Train-error:0.00000	Train-rmse:0.02218	Valid-error:0.01399	Valid-rmse:0.11926
134s [49]	Train-error:0.00000	Train-rmse:0.02174	Valid-error:0.01399	Valid-rmse:0.12004
134s [50]	Train-error:0.00000	Train-rmse:0.02166	Valid-error:0.01399	Valid-rmse:0.11892
134s [51]	Train-error:0.00000	Train-rmse:0.02153	Valid-error:0.01399	Valid-rmse:0.11912
134s [52]	Train-error:0.00000	Train-rmse:0.02120	Valid-error:0.01399	Valid-rmse:0.11793
134s [53]	Train-error:0.00000	Train-rmse:0.02112	Valid-error:0.01399	Valid-rmse:0.11795
134s [54]	Train-error:0.00000	Train-rmse:0.02127	Valid-error:0.01399	Valid-rmse:0.11821
134s [55]	Train-error:0.00000	Train-rmse:0.02117	Valid-error:0.01399	Valid-rmse:0.11846
134s [56]	Train-error:0.00000	Train-rmse:0.02109	Valid-error:0.01399	Valid-rmse:0.11742
134s [57]	Train-error:0.00000	Train-rmse:0.02102	Valid-error:0.01399	Valid-rmse:0.11764
134s [58]	Train-error:0.00000	Train-rmse:0.02082	Valid-error:0.01399	Valid-rmse:0.11819
134s [59]	Train-error:0.00000	Train-rmse:0.02050	Valid-error:0.01399	Valid-rmse:0.11705
134s [60]	Train-error:0.00000	Train-rmse:0.02047	Valid-error:0.01399	Valid-rmse:0.11713
134s [61]	Train-error:0.00000	Train-rmse:0.02038	Valid-error:0.01399	Valid-rmse:0.11741
134s [62]	Train-error:0.00000	Train-rmse:0.02011	Valid-error:0.01399	Valid-rmse:0.11639
134s [63]	Train-error:0.00000	Train-rmse:0.02006	Valid-error:0.01399	Valid-rmse:0.11543
135s [64]	Train-error:0.00000	Train-rmse:0.01996	Valid-error:0.01399	Valid-rmse:0.11650
135s [65]	Train-error:0.00000	Train-rmse:0.02007	Valid-error:0.01399	Valid-rmse:0.11678
135s [66]	Train-error:0.00000	Train-rmse:0.01977	Valid-error:0.01399	Valid-rmse:0.11549
135s [67]	Train-error:0.00000	Train-rmse:0.01968	Valid-error:0.01399	Valid-rmse:0.11596
135s [68]	Train-error:0.00000	Train-rmse:0.01965	Valid-error:0.01399	Valid-rmse:0.11624
135s [69]	Train-error:0.00000	Train-rmse:0.01978	Valid-error:0.01399	Valid-rmse:0.11701
135s [70]	Train-error:0.00000	Train-rmse:0.01948	Valid-error:0.01399	Valid-rmse:0.11572
135s [71]	Train-error:0.00000	Train-rmse:0.01941	Valid-error:0.01399	Valid-rmse:0.11601
135s [72]	Train-error:0.00000	Train-rmse:0.01936	Valid-error:0.01399	Valid-rmse:0.11519
135s [73]	Train-error:0.00000	Train-rmse:0.01936	Valid-error:0.01399	Valid-rmse:0.11440
135s [74]	Train-error:0.00000	Train-rmse:0.01913	Valid-error:0.01399	Valid-rmse:0.11349
135s [75]	Train-error:0.00000	Train-rmse:0.01923	Valid-error:0.01399	Valid-rmse:0.11382
135s [76]	Train-error:0.00000	Train-rmse:0.01915	Valid-error:0.01399	Valid-rmse:0.11427
135s [77]	Train-error:0.00000	Train-rmse:0.01912	Valid-error:0.01399	Valid-rmse:0.11447
135s [78]	Train-error:0.00000	Train-rmse:0.01886	Valid-error:0.01399	Valid-rmse:0.11330
135s [79]	Train-error:0.00000	Train-rmse:0.01898	Valid-error:0.01399	Valid-rmse:0.11407
135s [80]	Train-error:0.00000	Train-rmse:0.01895	Valid-error:0.01399	Valid-rmse:0.11333
135s [81]	Train-error:0.00000	Train-rmse:0.01886	Valid-error:0.01399	Valid-rmse:0.11368
135s [82]	Train-error:0.00000	Train-rmse:0.01876	Valid-error:0.01399	Valid-rmse:0.11465
135s [83]	Train-error:0.00000	Train-rmse:0.01852	Valid-error:0.01399	Valid-rmse:0.11352
135s [84]	Train-error:0.00000	Train-rmse:0.01848	Valid-error:0.01399	Valid-rmse:0.11367
135s [85]	Train-error:0.00000	Train-rmse:0.01844	Valid-error:0.01399	Valid-rmse:0.11353
135s [86]	Train-error:0.00000	Train-rmse:0.01837	Valid-error:0.01399	Valid-rmse:0.11397
135s [87]	Train-error:0.00000	Train-rmse:0.01845	Valid-error:0.01399	Valid-rmse:0.11427
135s [88]	Train-error:0.00000	Train-rmse:0.01847	Valid-error:0.01399	Valid-rmse:0.11361
135s [89]	Train-error:0.00000	Train-rmse:0.01822	Valid-error:0.01399	Valid-rmse:0.11253
135s [90]	Train-error:0.00000	Train-rmse:0.01814	Valid-error:0.01399	Valid-rmse:0.11286
135s [91]	Train-error:0.00000	Train-rmse:0.01811	Valid-error:0.01399	Valid-rmse:0.11218
135s [92]	Train-error:0.00000	Train-rmse:0.01801	Valid-error:0.01399	Valid-rmse:0.11314
135s [93]	Train-error:0.00000	Train-rmse:0.01800	Valid-error:0.01399	Valid-rmse:0.11347
135s [94]	Train-error:0.00000	Train-rmse:0.01809	Valid-error:0.01399	Valid-rmse:0.11379
135s [95]	Train-error:0.00000	Train-rmse:0.01801	Valid-error:0.01399	Valid-rmse:0.11420
135s [96]	Train-error:0.00000	Train-rmse:0.01780	Valid-error:0.01399	Valid-rmse:0.11295
135s [97]	Train-error:0.00000	Train-rmse:0.01790	Valid-error:0.01399	Valid-rmse:0.11367
135s [98]	Train-error:0.00000	Train-rmse:0.01789	Valid-error:0.01399	Valid-rmse:0.11333
135s [99]	Train-error:0.00000	Train-rmse:0.01781	Valid-error:0.01399	Valid-rmse:0.11366
136s ==========================================
136s Skip case cat_in_the_dat.py...
136s ==========================================
136s Running case cat_pipeline.py...
137s ==========================================
137s Running case categorical.py...
138s /usr/lib/python3/dist-packages/xgboost/training.py:183: UserWarning: [10:50:35] WARNING: ./src/context.cc:203: XGBoost is not compiled with CUDA support.
138s   bst.update(dtrain, iteration=i, fobj=obj)
138s [0]	validation_0-rmse:2.94171
138s [1]	validation_0-rmse:2.40095
138s [2]	validation_0-rmse:1.96121
138s [3]	validation_0-rmse:1.61285
138s [4]	validation_0-rmse:1.35854
138s [5]	validation_0-rmse:1.12286
138s [6]	validation_0-rmse:0.96789
138s [7]	validation_0-rmse:0.79707
138s [8]	validation_0-rmse:0.66201
138s [9]	validation_0-rmse:0.55282
138s [10]	validation_0-rmse:0.46038
138s [11]	validation_0-rmse:0.38278
138s [12]	validation_0-rmse:0.32840
138s [13]	validation_0-rmse:0.27462
138s [14]	validation_0-rmse:0.23398
138s [15]	validation_0-rmse:0.19823
138s [16]	validation_0-rmse:0.16984
138s [17]	validation_0-rmse:0.14636
138s [18]	validation_0-rmse:0.12447
138s [19]	validation_0-rmse:0.10444
138s [20]	validation_0-rmse:0.08984
138s [21]	validation_0-rmse:0.07610
138s [22]	validation_0-rmse:0.06622
138s [23]	validation_0-rmse:0.05653
138s [24]	validation_0-rmse:0.04906
138s [25]	validation_0-rmse:0.04173
138s [26]	validation_0-rmse:0.03550
138s [27]	validation_0-rmse:0.03046
138s [28]	validation_0-rmse:0.02585
138s [29]	validation_0-rmse:0.02187
138s [30]	validation_0-rmse:0.01863
138s [31]	validation_0-rmse:0.01597
138s [32]	validation_0-rmse:0.01361
138s [33]	validation_0-rmse:0.01166
138s [34]	validation_0-rmse:0.01041
138s [35]	validation_0-rmse:0.00909
138s [36]	validation_0-rmse:0.00780
138s [37]	validation_0-rmse:0.00666
138s [38]	validation_0-rmse:0.00569
138s [39]	validation_0-rmse:0.00493
138s [40]	validation_0-rmse:0.00426
138s [41]	validation_0-rmse:0.00365
138s [42]	validation_0-rmse:0.00314
138s [43]	validation_0-rmse:0.00268
138s [44]	validation_0-rmse:0.00233
138s [45]	validation_0-rmse:0.00200
138s [46]	validation_0-rmse:0.00170
138s [47]	validation_0-rmse:0.00148
138s [48]	validation_0-rmse:0.00130
138s [49]	validation_0-rmse:0.00116
138s [50]	validation_0-rmse:0.00100
138s [51]	validation_0-rmse:0.00090
138s [52]	validation_0-rmse:0.00082
138s /usr/lib/python3/dist-packages/xgboost/training.py:183: UserWarning: [10:50:35] WARNING: ./src/context.cc:203: XGBoost is not compiled with CUDA support.
138s   bst.update(dtrain, iteration=i, fobj=obj)
138s [53]	validation_0-rmse:0.00075
138s [54]	validation_0-rmse:0.00075
138s [55]	validation_0-rmse:0.00075
138s [56]	validation_0-rmse:0.00075
138s [57]	validation_0-rmse:0.00075
138s [58]	validation_0-rmse:0.00075
138s [59]	validation_0-rmse:0.00075
138s [60]	validation_0-rmse:0.00075
138s [61]	validation_0-rmse:0.00075
138s [62]	validation_0-rmse:0.00075
138s [63]	validation_0-rmse:0.00075
138s [64]	validation_0-rmse:0.00075
138s [65]	validation_0-rmse:0.00075
138s [66]	validation_0-rmse:0.00075
138s [67]	validation_0-rmse:0.00075
138s [68]	validation_0-rmse:0.00075
138s [69]	validation_0-rmse:0.00075
138s [70]	validation_0-rmse:0.00075
138s [71]	validation_0-rmse:0.00075
138s [72]	validation_0-rmse:0.00075
138s [73]	validation_0-rmse:0.00075
138s [74]	validation_0-rmse:0.00075
138s [75]	validation_0-rmse:0.00075
138s [76]	validation_0-rmse:0.00075
138s [77]	validation_0-rmse:0.00075
138s [78]	validation_0-rmse:0.00075
138s [79]	validation_0-rmse:0.00075
138s [80]	validation_0-rmse:0.00075
138s [81]	validation_0-rmse:0.00075
138s [82]	validation_0-rmse:0.00075
138s [83]	validation_0-rmse:0.00075
138s [84]	validation_0-rmse:0.00075
138s [85]	validation_0-rmse:0.00075
138s [86]	validation_0-rmse:0.00075
138s [87]	validation_0-rmse:0.00075
138s [88]	validation_0-rmse:0.00075
138s [89]	validation_0-rmse:0.00075
138s [90]	validation_0-rmse:0.00075
138s [91]	validation_0-rmse:0.00075
138s [92]	validation_0-rmse:0.00075
138s [93]	validation_0-rmse:0.00075
138s [94]	validation_0-rmse:0.00075
138s [95]	validation_0-rmse:0.00075
138s [96]	validation_0-rmse:0.00075
138s [97]	validation_0-rmse:0.00075
138s [98]	validation_0-rmse:0.00075
138s [99]	validation_0-rmse:0.00075
138s [0]	validation_0-rmse:2.94171
138s [1]	validation_0-rmse:2.40095
138s [2]	validation_0-rmse:1.96121
138s [3]	validation_0-rmse:1.61285
138s [4]	validation_0-rmse:1.35854
138s [5]	validation_0-rmse:1.12286
138s [6]	validation_0-rmse:0.96789
138s [7]	validation_0-rmse:0.79707
138s [8]	validation_0-rmse:0.66201
138s [9]	validation_0-rmse:0.55282
138s [10]	validation_0-rmse:0.46038
138s [11]	validation_0-rmse:0.38278
138s [12]	validation_0-rmse:0.32840
138s [13]	validation_0-rmse:0.27462
138s [14]	validation_0-rmse:0.23398
138s [15]	validation_0-rmse:0.19823
138s [16]	validation_0-rmse:0.16984
138s [17]	validation_0-rmse:0.14636
138s [18]	validation_0-rmse:0.12447
138s [19]	validation_0-rmse:0.10444
138s [20]	validation_0-rmse:0.08984
138s [21]	validation_0-rmse:0.07610
138s [22]	validation_0-rmse:0.06622
138s [23]	validation_0-rmse:0.05653
138s [24]	validation_0-rmse:0.04906
138s [25]	validation_0-rmse:0.04173
138s [26]	validation_0-rmse:0.03550
138s [27]	validation_0-rmse:0.03046
138s [28]	validation_0-rmse:0.02585
138s [29]	validation_0-rmse:0.02187
138s [30]	validation_0-rmse:0.01863
138s [31]	validation_0-rmse:0.01597
138s [32]	validation_0-rmse:0.01361
138s [33]	validation_0-rmse:0.01166
138s [34]	validation_0-rmse:0.01041
138s [35]	validation_0-rmse:0.00909
138s [36]	validation_0-rmse:0.00780
138s [37]	validation_0-rmse:0.00666
138s [38]	validation_0-rmse:0.00569
138s [39]	validation_0-rmse:0.00493
138s [40]	validation_0-rmse:0.00426
138s [41]	validation_0-rmse:0.00365
138s [42]	validation_0-rmse:0.00314
138s [43]	validation_0-rmse:0.00268
138s [44]	validation_0-rmse:0.00233
138s [45]	validation_0-rmse:0.00200
138s [46]	validation_0-rmse:0.00170
138s [47]	validation_0-rmse:0.00148
138s [48]	validation_0-rmse:0.00130
138s [49]	validation_0-rmse:0.00116
138s [50]	validation_0-rmse:0.00100
138s [51]	validation_0-rmse:0.00090
138s [52]	validation_0-rmse:0.00082
138s [53]	validation_0-rmse:0.00075
138s [54]	validation_0-rmse:0.00075
138s [55]	validation_0-rmse:0.00075
138s [56]	validation_0-rmse:0.00075
138s [57]	validation_0-rmse:0.00075
138s [58]	validation_0-rmse:0.00075
138s [59]	validation_0-rmse:0.00075
138s [60]	validation_0-rmse:0.00075
138s [61]	validation_0-rmse:0.00075
138s [62]	validation_0-rmse:0.00075
138s [63]	validation_0-rmse:0.00075
138s [64]	validation_0-rmse:0.00075
138s [65]	validation_0-rmse:0.00075
138s [66]	validation_0-rmse:0.00075
138s [67]	validation_0-rmse:0.00075
138s [68]	validation_0-rmse:0.00075
138s [69]	validation_0-rmse:0.00075
138s [70]	validation_0-rmse:0.00075
138s [71]	validation_0-rmse:0.00075
138s [72]	validation_0-rmse:0.00075
138s [73]	validation_0-rmse:0.00075
138s [74]	validation_0-rmse:0.00075
138s [75]	validation_0-rmse:0.00075
138s [76]	validation_0-rmse:0.00075
138s [77]	validation_0-rmse:0.00075
138s [78]	validation_0-rmse:0.00075
138s [79]	validation_0-rmse:0.00075
138s [80]	validation_0-rmse:0.00075
138s [81]	validation_0-rmse:0.00075
138s [82]	validation_0-rmse:0.00075
138s [83]	validation_0-rmse:0.00075
138s [84]	validation_0-rmse:0.00075
138s [85]	validation_0-rmse:0.00075
138s [86]	validation_0-rmse:0.00075
138s [87]	validation_0-rmse:0.00075
138s [88]	validation_0-rmse:0.00075
138s [89]	validation_0-rmse:0.00075
138s [90]	validation_0-rmse:0.00075
138s [91]	validation_0-rmse:0.00075
138s [92]	validation_0-rmse:0.00075
138s [93]	validation_0-rmse:0.00075
138s [94]	validation_0-rmse:0.00075
138s [95]	validation_0-rmse:0.00075
138s [96]	validation_0-rmse:0.00075
138s [97]	validation_0-rmse:0.00075
138s [98]	validation_0-rmse:0.00075
138s [99]	validation_0-rmse:0.00075
138s ==========================================
138s Running case continuation.py...
138s [0]	validation_0-logloss:0.43225
138s [1]	validation_0-logloss:0.30771
138s [2]	validation_0-logloss:0.22782
138s [3]	validation_0-logloss:0.17444
138s [4]	validation_0-logloss:0.13419
138s [5]	validation_0-logloss:0.10523
138s [6]	validation_0-logloss:0.08455
138s [7]	validation_0-logloss:0.06900
138s [8]	validation_0-logloss:0.05759
138s [9]	validation_0-logloss:0.04836
138s [10]	validation_0-logloss:0.04116
138s [11]	validation_0-logloss:0.03541
138s [12]	validation_0-logloss:0.03074
138s [13]	validation_0-logloss:0.02739
138s [14]	validation_0-logloss:0.02442
138s [15]	validation_0-logloss:0.02206
138s [16]	validation_0-logloss:0.01991
138s [17]	validation_0-logloss:0.01818
138s [18]	validation_0-logloss:0.01675
138s [19]	validation_0-logloss:0.01574
138s [20]	validation_0-logloss:0.01460
138s [21]	validation_0-logloss:0.01382
138s [22]	validation_0-logloss:0.01303
138s [23]	validation_0-logloss:0.01242
138s [24]	validation_0-logloss:0.01178
138s [25]	validation_0-logloss:0.01141
138s [26]	validation_0-logloss:0.01102
138s [27]	validation_0-logloss:0.01065
138s [28]	validation_0-logloss:0.01036
138s [29]	validation_0-logloss:0.00993
138s [30]	validation_0-logloss:0.00965
138s [31]	validation_0-logloss:0.00919
138s [32]	validation_0-logloss:0.00899
138s [33]	validation_0-logloss:0.00875
138s [34]	validation_0-logloss:0.00851
138s [35]	validation_0-logloss:0.00834
138s [36]	validation_0-logloss:0.00810
138s [37]	validation_0-logloss:0.00791
138s [38]	validation_0-logloss:0.00764
138s [39]	validation_0-logloss:0.00752
138s [40]	validation_0-logloss:0.00738
138s [41]	validation_0-logloss:0.00723
138s [42]	validation_0-logloss:0.00706
138s [43]	validation_0-logloss:0.00694
138s [44]	validation_0-logloss:0.00688
138s [45]	validation_0-logloss:0.00671
138s [46]	validation_0-logloss:0.00661
138s [47]	validation_0-logloss:0.00649
138s [48]	validation_0-logloss:0.00637
138s [49]	validation_0-logloss:0.00628
138s [50]	validation_0-logloss:0.00623
138s [51]	validation_0-logloss:0.00618
138s [52]	validation_0-logloss:0.00614
138s [53]	validation_0-logloss:0.00609
138s [54]	validation_0-logloss:0.00600
138s [55]	validation_0-logloss:0.00589
138s [56]	validation_0-logloss:0.00582
138s [57]	validation_0-logloss:0.00578
138s [58]	validation_0-logloss:0.00572
138s [59]	validation_0-logloss:0.00568
138s [60]	validation_0-logloss:0.00565
138s [61]	validation_0-logloss:0.00561
138s [62]	validation_0-logloss:0.00558
138s [63]	validation_0-logloss:0.00555
138s [64]	validation_0-logloss:0.00551
138s [65]	validation_0-logloss:0.00548
138s [66]	validation_0-logloss:0.00545
138s [67]	validation_0-logloss:0.00541
138s [68]	validation_0-logloss:0.00538
138s [69]	validation_0-logloss:0.00535
138s [70]	validation_0-logloss:0.00532
138s [71]	validation_0-logloss:0.00530
138s [72]	validation_0-logloss:0.00527
138s [73]	validation_0-logloss:0.00524
138s [74]	validation_0-logloss:0.00521
138s [75]	validation_0-logloss:0.00519
138s [76]	validation_0-logloss:0.00516
138s [77]	validation_0-logloss:0.00513
138s [78]	validation_0-logloss:0.00511
138s [79]	validation_0-logloss:0.00509
138s [80]	validation_0-logloss:0.00506
138s [81]	validation_0-logloss:0.00504
138s [82]	validation_0-logloss:0.00502
138s [83]	validation_0-logloss:0.00499
138s [84]	validation_0-logloss:0.00497
138s [85]	validation_0-logloss:0.00494
138s [86]	validation_0-logloss:0.00492
138s [87]	validation_0-logloss:0.00490
138s [88]	validation_0-logloss:0.00488
138s [89]	validation_0-logloss:0.00486
138s [90]	validation_0-logloss:0.00484
138s [91]	validation_0-logloss:0.00482
138s [92]	validation_0-logloss:0.00480
138s [93]	validation_0-logloss:0.00478
138s [94]	validation_0-logloss:0.00476
138s [95]	validation_0-logloss:0.00473
138s [96]	validation_0-logloss:0.00472
138s [97]	validation_0-logloss:0.00470
138s [98]	validation_0-logloss:0.00468
138s [99]	validation_0-logloss:0.00466
138s [100]	validation_0-logloss:0.00464
138s [101]	validation_0-logloss:0.00462
138s [102]	validation_0-logloss:0.00461
138s [103]	validation_0-logloss:0.00459
138s [104]	validation_0-logloss:0.00457
138s [105]	validation_0-logloss:0.00455
138s [106]	validation_0-logloss:0.00454
138s [107]	validation_0-logloss:0.00452
138s [108]	validation_0-logloss:0.00451
138s [109]	validation_0-logloss:0.00449
138s [110]	validation_0-logloss:0.00448
138s [111]	validation_0-logloss:0.00446
138s [112]	validation_0-logloss:0.00445
138s [113]	validation_0-logloss:0.00443
138s [114]	validation_0-logloss:0.00441
138s [115]	validation_0-logloss:0.00440
138s [116]	validation_0-logloss:0.00439
138s [117]	validation_0-logloss:0.00437
138s [118]	validation_0-logloss:0.00436
138s [119]	validation_0-logloss:0.00434
138s [120]	validation_0-logloss:0.00433
138s [121]	validation_0-logloss:0.00431
138s [122]	validation_0-logloss:0.00430
138s [123]	validation_0-logloss:0.00429
138s [124]	validation_0-logloss:0.00428
138s [125]	validation_0-logloss:0.00426
138s [126]	validation_0-logloss:0.00425
138s [127]	validation_0-logloss:0.00424
138s [128]	validation_0-logloss:0.00423
138s [129]	validation_0-logloss:0.00421
138s [130]	validation_0-logloss:0.00420
138s [131]	validation_0-logloss:0.00419
138s [132]	validation_0-logloss:0.00418
138s [133]	validation_0-logloss:0.00417
138s [134]	validation_0-logloss:0.00416
138s [135]	validation_0-logloss:0.00414
138s [136]	validation_0-logloss:0.00413
138s [137]	validation_0-logloss:0.00412
138s [138]	validation_0-logloss:0.00411
138s [139]	validation_0-logloss:0.00410
138s [140]	validation_0-logloss:0.00409
138s [141]	validation_0-logloss:0.00408
138s [142]	validation_0-logloss:0.00407
138s [143]	validation_0-logloss:0.00406
138s [144]	validation_0-logloss:0.00405
138s [145]	validation_0-logloss:0.00404
138s [146]	validation_0-logloss:0.00403
138s [147]	validation_0-logloss:0.00402
138s [148]	validation_0-logloss:0.00401
139s [149]	validation_0-logloss:0.00400
139s [150]	validation_0-logloss:0.00399
139s [151]	validation_0-logloss:0.00398
139s [152]	validation_0-logloss:0.00398
139s [153]	validation_0-logloss:0.00397
139s [154]	validation_0-logloss:0.00396
139s [155]	validation_0-logloss:0.00395
139s [156]	validation_0-logloss:0.00394
139s [157]	validation_0-logloss:0.00393
139s [158]	validation_0-logloss:0.00392
139s [159]	validation_0-logloss:0.00392
139s [160]	validation_0-logloss:0.00391
139s [161]	validation_0-logloss:0.00390
139s [162]	validation_0-logloss:0.00389
139s [163]	validation_0-logloss:0.00389
139s [164]	validation_0-logloss:0.00388
139s [165]	validation_0-logloss:0.00387
139s [166]	validation_0-logloss:0.00386
139s [167]	validation_0-logloss:0.00386
139s [168]	validation_0-logloss:0.00385
139s [169]	validation_0-logloss:0.00384
139s [170]	validation_0-logloss:0.00383
139s [171]	validation_0-logloss:0.00383
139s [172]	validation_0-logloss:0.00382
139s [173]	validation_0-logloss:0.00382
139s [174]	validation_0-logloss:0.00381
139s [175]	validation_0-logloss:0.00380
139s [176]	validation_0-logloss:0.00380
139s [177]	validation_0-logloss:0.00379
139s [178]	validation_0-logloss:0.00379
139s [179]	validation_0-logloss:0.00378
139s [180]	validation_0-logloss:0.00378
139s [181]	validation_0-logloss:0.00377
139s [182]	validation_0-logloss:0.00376
139s [183]	validation_0-logloss:0.00376
139s [184]	validation_0-logloss:0.00376
139s [185]	validation_0-logloss:0.00375
139s [186]	validation_0-logloss:0.00375
139s [187]	validation_0-logloss:0.00374
139s [188]	validation_0-logloss:0.00374
139s [189]	validation_0-logloss:0.00373
139s [190]	validation_0-logloss:0.00373
139s [191]	validation_0-logloss:0.00373
139s [192]	validation_0-logloss:0.00372
139s [193]	validation_0-logloss:0.00372
139s [194]	validation_0-logloss:0.00372
139s [195]	validation_0-logloss:0.00372
139s [196]	validation_0-logloss:0.00372
139s [197]	validation_0-logloss:0.00372
139s [198]	validation_0-logloss:0.00372
139s [199]	validation_0-logloss:0.00372
139s [200]	validation_0-logloss:0.00372
139s [201]	validation_0-logloss:0.00372
139s Total boosted rounds: 197
139s [0]	validation_0-logloss:0.43225
139s [1]	validation_0-logloss:0.30771
139s [2]	validation_0-logloss:0.22782
139s [3]	validation_0-logloss:0.17444
139s [4]	validation_0-logloss:0.13419
139s [5]	validation_0-logloss:0.10523
139s [6]	validation_0-logloss:0.08455
139s [7]	validation_0-logloss:0.06900
139s [8]	validation_0-logloss:0.05759
139s [9]	validation_0-logloss:0.04836
139s [10]	validation_0-logloss:0.04116
139s [11]	validation_0-logloss:0.03541
139s [12]	validation_0-logloss:0.03074
139s [13]	validation_0-logloss:0.02739
139s [14]	validation_0-logloss:0.02442
139s [15]	validation_0-logloss:0.02206
139s [16]	validation_0-logloss:0.01991
139s [17]	validation_0-logloss:0.01818
139s [18]	validation_0-logloss:0.01675
139s [19]	validation_0-logloss:0.01574
139s [20]	validation_0-logloss:0.01460
139s [21]	validation_0-logloss:0.01382
139s [22]	validation_0-logloss:0.01303
139s [23]	validation_0-logloss:0.01242
139s [24]	validation_0-logloss:0.01178
139s [25]	validation_0-logloss:0.01141
139s [26]	validation_0-logloss:0.01102
139s [27]	validation_0-logloss:0.01065
139s [28]	validation_0-logloss:0.01036
139s [29]	validation_0-logloss:0.00993
139s [30]	validation_0-logloss:0.00965
139s [31]	validation_0-logloss:0.00919
139s [32]	validation_0-logloss:0.00899
139s [33]	validation_0-logloss:0.00875
139s [34]	validation_0-logloss:0.00851
139s [35]	validation_0-logloss:0.00834
139s [36]	validation_0-logloss:0.00810
139s [37]	validation_0-logloss:0.00791
139s [38]	validation_0-logloss:0.00764
139s [39]	validation_0-logloss:0.00752
139s [40]	validation_0-logloss:0.00738
139s [41]	validation_0-logloss:0.00723
139s [42]	validation_0-logloss:0.00706
139s [43]	validation_0-logloss:0.00694
139s [44]	validation_0-logloss:0.00688
139s [45]	validation_0-logloss:0.00671
139s [46]	validation_0-logloss:0.00661
139s [47]	validation_0-logloss:0.00649
139s [48]	validation_0-logloss:0.00637
139s [49]	validation_0-logloss:0.00628
139s [50]	validation_0-logloss:0.00623
139s [51]	validation_0-logloss:0.00618
139s [52]	validation_0-logloss:0.00614
139s [53]	validation_0-logloss:0.00609
139s [54]	validation_0-logloss:0.00600
139s [55]	validation_0-logloss:0.00589
139s [56]	validation_0-logloss:0.00582
139s [57]	validation_0-logloss:0.00578
139s [58]	validation_0-logloss:0.00572
139s [59]	validation_0-logloss:0.00568
139s [60]	validation_0-logloss:0.00565
139s [61]	validation_0-logloss:0.00561
139s [62]	validation_0-logloss:0.00558
139s [63]	validation_0-logloss:0.00555
139s [64]	validation_0-logloss:0.00551
139s [65]	validation_0-logloss:0.00548
139s [66]	validation_0-logloss:0.00545
139s [67]	validation_0-logloss:0.00541
139s [68]	validation_0-logloss:0.00538
139s [69]	validation_0-logloss:0.00535
139s [70]	validation_0-logloss:0.00532
139s [71]	validation_0-logloss:0.00530
139s [72]	validation_0-logloss:0.00527
139s [73]	validation_0-logloss:0.00524
139s [74]	validation_0-logloss:0.00521
139s [75]	validation_0-logloss:0.00519
139s [76]	validation_0-logloss:0.00516
139s [77]	validation_0-logloss:0.00513
139s [78]	validation_0-logloss:0.00511
139s [79]	validation_0-logloss:0.00509
139s [80]	validation_0-logloss:0.00506
139s [81]	validation_0-logloss:0.00504
139s [82]	validation_0-logloss:0.00502
139s [83]	validation_0-logloss:0.00499
139s [84]	validation_0-logloss:0.00497
139s [85]	validation_0-logloss:0.00494
139s [86]	validation_0-logloss:0.00492
139s [87]	validation_0-logloss:0.00490
139s [88]	validation_0-logloss:0.00488
139s [89]	validation_0-logloss:0.00486
139s [90]	validation_0-logloss:0.00484
139s [91]	validation_0-logloss:0.00482
139s [92]	validation_0-logloss:0.00480
139s [93]	validation_0-logloss:0.00478
139s [94]	validation_0-logloss:0.00476
139s [95]	validation_0-logloss:0.00473
139s [96]	validation_0-logloss:0.00472
139s [97]	validation_0-logloss:0.00470
139s [98]	validation_0-logloss:0.00468
139s [99]	validation_0-logloss:0.00466
139s [100]	validation_0-logloss:0.00464
139s [101]	validation_0-logloss:0.00462
139s [102]	validation_0-logloss:0.00461
139s [103]	validation_0-logloss:0.00459
139s [104]	validation_0-logloss:0.00457
139s [105]	validation_0-logloss:0.00455
139s [106]	validation_0-logloss:0.00454
139s [107]	validation_0-logloss:0.00452
139s [108]	validation_0-logloss:0.00451
139s [109]	validation_0-logloss:0.00449
139s [110]	validation_0-logloss:0.00448
139s [111]	validation_0-logloss:0.00446
139s [112]	validation_0-logloss:0.00445
139s [113]	validation_0-logloss:0.00443
139s [114]	validation_0-logloss:0.00441
139s [115]	validation_0-logloss:0.00440
139s [116]	validation_0-logloss:0.00439
139s [117]	validation_0-logloss:0.00437
139s [118]	validation_0-logloss:0.00436
139s [119]	validation_0-logloss:0.00434
139s [120]	validation_0-logloss:0.00433
139s [121]	validation_0-logloss:0.00431
139s [122]	validation_0-logloss:0.00430
139s [123]	validation_0-logloss:0.00429
139s [124]	validation_0-logloss:0.00428
139s [125]	validation_0-logloss:0.00426
139s [126]	validation_0-logloss:0.00425
139s [127]	validation_0-logloss:0.00424
139s [0]	validation_0-logloss:0.00423
139s [1]	validation_0-logloss:0.00421
139s [2]	validation_0-logloss:0.00420
139s [3]	validation_0-logloss:0.00419
139s [4]	validation_0-logloss:0.00418
139s [5]	validation_0-logloss:0.00417
139s [6]	validation_0-logloss:0.00416
139s [7]	validation_0-logloss:0.00414
139s [8]	validation_0-logloss:0.00413
139s [9]	validation_0-logloss:0.00412
139s [10]	validation_0-logloss:0.00411
139s [11]	validation_0-logloss:0.00410
139s [12]	validation_0-logloss:0.00409
139s [13]	validation_0-logloss:0.00408
139s [14]	validation_0-logloss:0.00407
139s [15]	validation_0-logloss:0.00406
139s [16]	validation_0-logloss:0.00405
139s [17]	validation_0-logloss:0.00404
139s [18]	validation_0-logloss:0.00403
139s [19]	validation_0-logloss:0.00402
139s [20]	validation_0-logloss:0.00401
139s [21]	validation_0-logloss:0.00400
139s [22]	validation_0-logloss:0.00399
139s [23]	validation_0-logloss:0.00398
139s [24]	validation_0-logloss:0.00398
139s [25]	validation_0-logloss:0.00397
139s [26]	validation_0-logloss:0.00396
139s [27]	validation_0-logloss:0.00395
139s [28]	validation_0-logloss:0.00394
139s [29]	validation_0-logloss:0.00393
139s [30]	validation_0-logloss:0.00392
139s [31]	validation_0-logloss:0.00392
139s [32]	validation_0-logloss:0.00391
139s [33]	validation_0-logloss:0.00390
139s [34]	validation_0-logloss:0.00389
139s [35]	validation_0-logloss:0.00389
139s [36]	validation_0-logloss:0.00388
139s [37]	validation_0-logloss:0.00387
139s [38]	validation_0-logloss:0.00386
139s [39]	validation_0-logloss:0.00386
139s [40]	validation_0-logloss:0.00385
139s [41]	validation_0-logloss:0.00384
139s [42]	validation_0-logloss:0.00383
139s [43]	validation_0-logloss:0.00383
139s [44]	validation_0-logloss:0.00382
139s [45]	validation_0-logloss:0.00382
139s [46]	validation_0-logloss:0.00381
139s [47]	validation_0-logloss:0.00380
139s [48]	validation_0-logloss:0.00380
139s [49]	validation_0-logloss:0.00379
139s [50]	validation_0-logloss:0.00379
139s [51]	validation_0-logloss:0.00378
139s [52]	validation_0-logloss:0.00378
139s [53]	validation_0-logloss:0.00377
139s [54]	validation_0-logloss:0.00376
139s [55]	validation_0-logloss:0.00376
139s [56]	validation_0-logloss:0.00376
139s [57]	validation_0-logloss:0.00375
139s [58]	validation_0-logloss:0.00375
139s [59]	validation_0-logloss:0.00374
139s [60]	validation_0-logloss:0.00374
139s [61]	validation_0-logloss:0.00373
139s [62]	validation_0-logloss:0.00373
139s [63]	validation_0-logloss:0.00373
139s [64]	validation_0-logloss:0.00372
139s [65]	validation_0-logloss:0.00372
139s [66]	validation_0-logloss:0.00372
139s [67]	validation_0-logloss:0.00372
139s [68]	validation_0-logloss:0.00372
139s [69]	validation_0-logloss:0.00372
139s [70]	validation_0-logloss:0.00372
139s [71]	validation_0-logloss:0.00372
139s [72]	validation_0-logloss:0.00372
139s Total boosted rounds: 197
139s [0]	validation_0-logloss:0.43225
139s [1]	validation_0-logloss:0.30771
139s [2]	validation_0-logloss:0.22782
139s [3]	validation_0-logloss:0.17444
139s [4]	validation_0-logloss:0.13419
139s [5]	validation_0-logloss:0.10523
139s [6]	validation_0-logloss:0.08455
139s [7]	validation_0-logloss:0.06900
139s [8]	validation_0-logloss:0.05759
139s [9]	validation_0-logloss:0.04836
139s [10]	validation_0-logloss:0.04116
139s [11]	validation_0-logloss:0.03541
139s [12]	validation_0-logloss:0.03074
139s [13]	validation_0-logloss:0.02739
139s [14]	validation_0-logloss:0.02442
139s [15]	validation_0-logloss:0.02206
139s [16]	validation_0-logloss:0.01991
139s [17]	validation_0-logloss:0.01818
139s [18]	validation_0-logloss:0.01675
139s [19]	validation_0-logloss:0.01574
139s [20]	validation_0-logloss:0.01460
139s [21]	validation_0-logloss:0.01382
139s [22]	validation_0-logloss:0.01303
139s [23]	validation_0-logloss:0.01242
139s [24]	validation_0-logloss:0.01178
139s [25]	validation_0-logloss:0.01141
139s [26]	validation_0-logloss:0.01102
139s [27]	validation_0-logloss:0.01065
139s [28]	validation_0-logloss:0.01036
139s [29]	validation_0-logloss:0.00993
139s [30]	validation_0-logloss:0.00965
139s [31]	validation_0-logloss:0.00919
139s [32]	validation_0-logloss:0.00899
139s [33]	validation_0-logloss:0.00875
139s [34]	validation_0-logloss:0.00851
139s [35]	validation_0-logloss:0.00834
139s [36]	validation_0-logloss:0.00810
139s [37]	validation_0-logloss:0.00791
139s [38]	validation_0-logloss:0.00764
139s [39]	validation_0-logloss:0.00752
139s [40]	validation_0-logloss:0.00738
139s [41]	validation_0-logloss:0.00723
139s [42]	validation_0-logloss:0.00706
139s [43]	validation_0-logloss:0.00694
139s [44]	validation_0-logloss:0.00688
139s [45]	validation_0-logloss:0.00671
139s [46]	validation_0-logloss:0.00661
139s [47]	validation_0-logloss:0.00649
139s [48]	validation_0-logloss:0.00637
139s [49]	validation_0-logloss:0.00628
139s [50]	validation_0-logloss:0.00623
139s [51]	validation_0-logloss:0.00618
139s [52]	validation_0-logloss:0.00614
139s [53]	validation_0-logloss:0.00609
139s [54]	validation_0-logloss:0.00600
139s [55]	validation_0-logloss:0.00589
139s [56]	validation_0-logloss:0.00582
139s [57]	validation_0-logloss:0.00578
139s [58]	validation_0-logloss:0.00572
139s [59]	validation_0-logloss:0.00568
139s [60]	validation_0-logloss:0.00565
139s [61]	validation_0-logloss:0.00561
139s [62]	validation_0-logloss:0.00558
139s [63]	validation_0-logloss:0.00555
139s [64]	validation_0-logloss:0.00551
139s [65]	validation_0-logloss:0.00548
139s [66]	validation_0-logloss:0.00545
139s [67]	validation_0-logloss:0.00541
139s [68]	validation_0-logloss:0.00538
139s [69]	validation_0-logloss:0.00535
139s [70]	validation_0-logloss:0.00532
139s [71]	validation_0-logloss:0.00530
139s [72]	validation_0-logloss:0.00527
139s [73]	validation_0-logloss:0.00524
139s [74]	validation_0-logloss:0.00521
139s [75]	validation_0-logloss:0.00519
139s [76]	validation_0-logloss:0.00516
139s [77]	validation_0-logloss:0.00513
139s [78]	validation_0-logloss:0.00511
139s [79]	validation_0-logloss:0.00509
139s [80]	validation_0-logloss:0.00506
139s [81]	validation_0-logloss:0.00504
139s [82]	validation_0-logloss:0.00502
139s [83]	validation_0-logloss:0.00499
139s [84]	validation_0-logloss:0.00497
139s [85]	validation_0-logloss:0.00494
139s [86]	validation_0-logloss:0.00492
139s [87]	validation_0-logloss:0.00490
139s [88]	validation_0-logloss:0.00488
139s [89]	validation_0-logloss:0.00486
139s [90]	validation_0-logloss:0.00484
139s [91]	validation_0-logloss:0.00482
139s [92]	validation_0-logloss:0.00480
139s [93]	validation_0-logloss:0.00478
139s [94]	validation_0-logloss:0.00476
139s [95]	validation_0-logloss:0.00473
139s [96]	validation_0-logloss:0.00472
139s [97]	validation_0-logloss:0.00470
139s [98]	validation_0-logloss:0.00468
139s [99]	validation_0-logloss:0.00466
139s [100]	validation_0-logloss:0.00464
139s [101]	validation_0-logloss:0.00462
139s [102]	validation_0-logloss:0.00461
139s [103]	validation_0-logloss:0.00459
139s [104]	validation_0-logloss:0.00457
139s [105]	validation_0-logloss:0.00455
139s [106]	validation_0-logloss:0.00454
139s [107]	validation_0-logloss:0.00452
139s [108]	validation_0-logloss:0.00451
139s [109]	validation_0-logloss:0.00449
139s [110]	validation_0-logloss:0.00448
139s [111]	validation_0-logloss:0.00446
139s [112]	validation_0-logloss:0.00445
139s [113]	validation_0-logloss:0.00443
139s [114]	validation_0-logloss:0.00441
139s [115]	validation_0-logloss:0.00440
139s [116]	validation_0-logloss:0.00439
139s [117]	validation_0-logloss:0.00437
139s [118]	validation_0-logloss:0.00436
139s [119]	validation_0-logloss:0.00434
139s [120]	validation_0-logloss:0.00433
139s [121]	validation_0-logloss:0.00431
139s [122]	validation_0-logloss:0.00430
139s [123]	validation_0-logloss:0.00429
139s [124]	validation_0-logloss:0.00428
139s [125]	validation_0-logloss:0.00426
139s [126]	validation_0-logloss:0.00425
139s [127]	validation_0-logloss:0.00424
139s [128]	validation_0-logloss:0.00423
139s [129]	validation_0-logloss:0.00421
139s [130]	validation_0-logloss:0.00420
139s [131]	validation_0-logloss:0.00419
139s [132]	validation_0-logloss:0.00418
139s [133]	validation_0-logloss:0.00417
139s [134]	validation_0-logloss:0.00416
139s [135]	validation_0-logloss:0.00414
139s [136]	validation_0-logloss:0.00413
139s [137]	validation_0-logloss:0.00412
139s [138]	validation_0-logloss:0.00411
139s [139]	validation_0-logloss:0.00410
139s [140]	validation_0-logloss:0.00409
139s [141]	validation_0-logloss:0.00408
139s [142]	validation_0-logloss:0.00407
139s [143]	validation_0-logloss:0.00406
139s [144]	validation_0-logloss:0.00405
139s [145]	validation_0-logloss:0.00404
139s [146]	validation_0-logloss:0.00403
139s [147]	validation_0-logloss:0.00402
139s [148]	validation_0-logloss:0.00401
139s [149]	validation_0-logloss:0.00400
139s [150]	validation_0-logloss:0.00399
139s [151]	validation_0-logloss:0.00398
139s [152]	validation_0-logloss:0.00398
139s [153]	validation_0-logloss:0.00397
139s [154]	validation_0-logloss:0.00396
139s [155]	validation_0-logloss:0.00395
139s [156]	validation_0-logloss:0.00394
139s [157]	validation_0-logloss:0.00393
139s [158]	validation_0-logloss:0.00392
139s [159]	validation_0-logloss:0.00392
139s [160]	validation_0-logloss:0.00391
139s [161]	validation_0-logloss:0.00390
139s [162]	validation_0-logloss:0.00389
139s [163]	validation_0-logloss:0.00389
139s [164]	validation_0-logloss:0.00388
139s [165]	validation_0-logloss:0.00387
139s [166]	validation_0-logloss:0.00386
139s [167]	validation_0-logloss:0.00386
139s [168]	validation_0-logloss:0.00385
139s [169]	validation_0-logloss:0.00384
139s [170]	validation_0-logloss:0.00383
139s [171]	validation_0-logloss:0.00383
139s [172]	validation_0-logloss:0.00382
139s [173]	validation_0-logloss:0.00382
139s [174]	validation_0-logloss:0.00381
139s [175]	validation_0-logloss:0.00380
139s [176]	validation_0-logloss:0.00380
139s [177]	validation_0-logloss:0.00379
139s [178]	validation_0-logloss:0.00379
139s [179]	validation_0-logloss:0.00378
139s [180]	validation_0-logloss:0.00378
139s [181]	validation_0-logloss:0.00377
139s [182]	validation_0-logloss:0.00376
139s [183]	validation_0-logloss:0.00376
139s [184]	validation_0-logloss:0.00376
139s [185]	validation_0-logloss:0.00375
139s [186]	validation_0-logloss:0.00375
139s [187]	validation_0-logloss:0.00374
139s [188]	validation_0-logloss:0.00374
139s [189]	validation_0-logloss:0.00373
139s [190]	validation_0-logloss:0.00373
139s [191]	validation_0-logloss:0.00373
139s [192]	validation_0-logloss:0.00372
139s [193]	validation_0-logloss:0.00372
139s [194]	validation_0-logloss:0.00372
139s [195]	validation_0-logloss:0.00372
139s [196]	validation_0-logloss:0.00372
139s [197]	validation_0-logloss:0.00372
139s [198]	validation_0-logloss:0.00372
139s [199]	validation_0-logloss:0.00372
139s [200]	validation_0-logloss:0.00372
139s Total boosted rounds: 197
139s [0]	validation_0-logloss:0.43225
139s [1]	validation_0-logloss:0.30771
139s [2]	validation_0-logloss:0.22782
139s [3]	validation_0-logloss:0.17444
139s [4]	validation_0-logloss:0.13419
139s [5]	validation_0-logloss:0.10523
139s [6]	validation_0-logloss:0.08455
139s [7]	validation_0-logloss:0.06900
139s [8]	validation_0-logloss:0.05759
139s [9]	validation_0-logloss:0.04836
139s [10]	validation_0-logloss:0.04116
139s [11]	validation_0-logloss:0.03541
139s [12]	validation_0-logloss:0.03074
139s [13]	validation_0-logloss:0.02739
139s [14]	validation_0-logloss:0.02442
139s [15]	validation_0-logloss:0.02206
139s [16]	validation_0-logloss:0.01991
139s [17]	validation_0-logloss:0.01818
139s [18]	validation_0-logloss:0.01675
139s [19]	validation_0-logloss:0.01574
139s [20]	validation_0-logloss:0.01460
139s [21]	validation_0-logloss:0.01382
139s [22]	validation_0-logloss:0.01303
139s [23]	validation_0-logloss:0.01242
139s [24]	validation_0-logloss:0.01178
139s [25]	validation_0-logloss:0.01141
139s [26]	validation_0-logloss:0.01102
139s [27]	validation_0-logloss:0.01065
139s [28]	validation_0-logloss:0.01036
139s [29]	validation_0-logloss:0.00993
139s [30]	validation_0-logloss:0.00965
139s [31]	validation_0-logloss:0.00919
139s [32]	validation_0-logloss:0.00899
139s [33]	validation_0-logloss:0.00875
139s [34]	validation_0-logloss:0.00851
139s [35]	validation_0-logloss:0.00834
139s [36]	validation_0-logloss:0.00810
139s [37]	validation_0-logloss:0.00791
139s [38]	validation_0-logloss:0.00764
139s [39]	validation_0-logloss:0.00752
139s [40]	validation_0-logloss:0.00738
139s [41]	validation_0-logloss:0.00723
139s [42]	validation_0-logloss:0.00706
139s [43]	validation_0-logloss:0.00694
139s [44]	validation_0-logloss:0.00688
139s [45]	validation_0-logloss:0.00671
139s [46]	validation_0-logloss:0.00661
139s [47]	validation_0-logloss:0.00649
139s [48]	validation_0-logloss:0.00637
139s [49]	validation_0-logloss:0.00628
139s [50]	validation_0-logloss:0.00623
139s [51]	validation_0-logloss:0.00618
139s [52]	validation_0-logloss:0.00614
139s [53]	validation_0-logloss:0.00609
139s [54]	validation_0-logloss:0.00600
139s [55]	validation_0-logloss:0.00589
139s [56]	validation_0-logloss:0.00582
139s [57]	validation_0-logloss:0.00578
139s [58]	validation_0-logloss:0.00572
139s [59]	validation_0-logloss:0.00568
139s [60]	validation_0-logloss:0.00565
139s [61]	validation_0-logloss:0.00561
139s [62]	validation_0-logloss:0.00558
139s [63]	validation_0-logloss:0.00555
139s [64]	validation_0-logloss:0.00551
139s [65]	validation_0-logloss:0.00548
139s [66]	validation_0-logloss:0.00545
139s [67]	validation_0-logloss:0.00541
139s [68]	validation_0-logloss:0.00538
139s [69]	validation_0-logloss:0.00535
139s [70]	validation_0-logloss:0.00532
139s [71]	validation_0-logloss:0.00530
139s [72]	validation_0-logloss:0.00527
139s [73]	validation_0-logloss:0.00524
139s [74]	validation_0-logloss:0.00521
139s [75]	validation_0-logloss:0.00519
139s [76]	validation_0-logloss:0.00516
139s [77]	validation_0-logloss:0.00513
139s [78]	validation_0-logloss:0.00511
139s [79]	validation_0-logloss:0.00509
139s [80]	validation_0-logloss:0.00506
139s [81]	validation_0-logloss:0.00504
139s [82]	validation_0-logloss:0.00502
139s [83]	validation_0-logloss:0.00499
139s [84]	validation_0-logloss:0.00497
139s [85]	validation_0-logloss:0.00494
139s [86]	validation_0-logloss:0.00492
139s [87]	validation_0-logloss:0.00490
139s [88]	validation_0-logloss:0.00488
139s [89]	validation_0-logloss:0.00486
139s [90]	validation_0-logloss:0.00484
139s [91]	validation_0-logloss:0.00482
139s [92]	validation_0-logloss:0.00480
139s [93]	validation_0-logloss:0.00478
139s [94]	validation_0-logloss:0.00476
139s [95]	validation_0-logloss:0.00473
139s [96]	validation_0-logloss:0.00472
139s [97]	validation_0-logloss:0.00470
139s [98]	validation_0-logloss:0.00468
139s [99]	validation_0-logloss:0.00466
139s [100]	validation_0-logloss:0.00464
139s [101]	validation_0-logloss:0.00462
139s [102]	validation_0-logloss:0.00461
139s [103]	validation_0-logloss:0.00459
139s [104]	validation_0-logloss:0.00457
139s [105]	validation_0-logloss:0.00455
139s [106]	validation_0-logloss:0.00454
139s [107]	validation_0-logloss:0.00452
139s [108]	validation_0-logloss:0.00451
139s [109]	validation_0-logloss:0.00449
139s [110]	validation_0-logloss:0.00448
139s [111]	validation_0-logloss:0.00446
139s [112]	validation_0-logloss:0.00445
139s [113]	validation_0-logloss:0.00443
139s [114]	validation_0-logloss:0.00441
139s [115]	validation_0-logloss:0.00440
139s [116]	validation_0-logloss:0.00439
139s [117]	validation_0-logloss:0.00437
139s [118]	validation_0-logloss:0.00436
139s [119]	validation_0-logloss:0.00434
139s [120]	validation_0-logloss:0.00433
139s [121]	validation_0-logloss:0.00431
139s [122]	validation_0-logloss:0.00430
139s [123]	validation_0-logloss:0.00429
139s [124]	validation_0-logloss:0.00428
139s [125]	validation_0-logloss:0.00426
139s [126]	validation_0-logloss:0.00425
139s [127]	validation_0-logloss:0.00424
139s [0]	validation_0-logloss:0.00423
139s [1]	validation_0-logloss:0.00421
139s [2]	validation_0-logloss:0.00420
139s [3]	validation_0-logloss:0.00419
139s [4]	validation_0-logloss:0.00418
139s [5]	validation_0-logloss:0.00417
139s [6]	validation_0-logloss:0.00416
139s [7]	validation_0-logloss:0.00414
139s [8]	validation_0-logloss:0.00413
139s [9]	validation_0-logloss:0.00412
139s [10]	validation_0-logloss:0.00411
139s [11]	validation_0-logloss:0.00410
139s [12]	validation_0-logloss:0.00409
139s [13]	validation_0-logloss:0.00408
139s [14]	validation_0-logloss:0.00407
139s [15]	validation_0-logloss:0.00406
139s [16]	validation_0-logloss:0.00405
139s [17]	validation_0-logloss:0.00404
139s [18]	validation_0-logloss:0.00403
139s [19]	validation_0-logloss:0.00402
139s [20]	validation_0-logloss:0.00401
139s [21]	validation_0-logloss:0.00400
139s [22]	validation_0-logloss:0.00399
139s [23]	validation_0-logloss:0.00398
139s [24]	validation_0-logloss:0.00398
139s [25]	validation_0-logloss:0.00397
139s [26]	validation_0-logloss:0.00396
139s [27]	validation_0-logloss:0.00395
139s [28]	validation_0-logloss:0.00394
139s [29]	validation_0-logloss:0.00393
139s [30]	validation_0-logloss:0.00392
139s [31]	validation_0-logloss:0.00392
139s [32]	validation_0-logloss:0.00391
139s [33]	validation_0-logloss:0.00390
139s [34]	validation_0-logloss:0.00389
139s [35]	validation_0-logloss:0.00389
139s [36]	validation_0-logloss:0.00388
139s [37]	validation_0-logloss:0.00387
139s [38]	validation_0-logloss:0.00386
139s [39]	validation_0-logloss:0.00386
139s [40]	validation_0-logloss:0.00385
139s [41]	validation_0-logloss:0.00384
139s [42]	validation_0-logloss:0.00383
139s [43]	validation_0-logloss:0.00383
139s [44]	validation_0-logloss:0.00382
139s [45]	validation_0-logloss:0.00382
139s [46]	validation_0-logloss:0.00381
139s [47]	validation_0-logloss:0.00380
139s [48]	validation_0-logloss:0.00380
139s [49]	validation_0-logloss:0.00379
139s [50]	validation_0-logloss:0.00379
139s [51]	validation_0-logloss:0.00378
139s [52]	validation_0-logloss:0.00378
139s [53]	validation_0-logloss:0.00377
139s [54]	validation_0-logloss:0.00376
139s [55]	validation_0-logloss:0.00376
139s [56]	validation_0-logloss:0.00376
139s [57]	validation_0-logloss:0.00375
139s [58]	validation_0-logloss:0.00375
139s [59]	validation_0-logloss:0.00374
139s [60]	validation_0-logloss:0.00374
139s [61]	validation_0-logloss:0.00373
139s [62]	validation_0-logloss:0.00373
139s [63]	validation_0-logloss:0.00373
139s [64]	validation_0-logloss:0.00372
139s [65]	validation_0-logloss:0.00372
139s [66]	validation_0-logloss:0.00372
139s [67]	validation_0-logloss:0.00372
139s [68]	validation_0-logloss:0.00372
139s [69]	validation_0-logloss:0.00372
139s [70]	validation_0-logloss:0.00372
139s [71]	validation_0-logloss:0.00372
139s [72]	validation_0-logloss:0.00372
139s [73]	validation_0-logloss:0.00372
139s Total boosted rounds: 197
139s [0]	validation_0-logloss:0.43225
139s [1]	validation_0-logloss:0.30771
139s [2]	validation_0-logloss:0.22782
139s [3]	validation_0-logloss:0.17444
139s [4]	validation_0-logloss:0.13419
139s [5]	validation_0-logloss:0.10523
139s [6]	validation_0-logloss:0.08455
139s [7]	validation_0-logloss:0.06900
139s [8]	validation_0-logloss:0.05759
139s [9]	validation_0-logloss:0.04836
139s [10]	validation_0-logloss:0.04116
139s [11]	validation_0-logloss:0.03541
139s [12]	validation_0-logloss:0.03074
139s [13]	validation_0-logloss:0.02739
139s [14]	validation_0-logloss:0.02442
139s [15]	validation_0-logloss:0.02206
139s [16]	validation_0-logloss:0.01991
139s [17]	validation_0-logloss:0.01818
139s [18]	validation_0-logloss:0.01675
139s [19]	validation_0-logloss:0.01574
139s [20]	validation_0-logloss:0.01460
139s [21]	validation_0-logloss:0.01382
139s [22]	validation_0-logloss:0.01303
139s [23]	validation_0-logloss:0.01242
139s [24]	validation_0-logloss:0.01178
139s [25]	validation_0-logloss:0.01141
139s [26]	validation_0-logloss:0.01102
139s [27]	validation_0-logloss:0.01065
139s [28]	validation_0-logloss:0.01036
139s [29]	validation_0-logloss:0.00993
139s [30]	validation_0-logloss:0.00965
139s [31]	validation_0-logloss:0.00919
139s [32]	validation_0-logloss:0.00899
139s [33]	validation_0-logloss:0.00875
139s [34]	validation_0-logloss:0.00851
139s [35]	validation_0-logloss:0.00834
139s [36]	validation_0-logloss:0.00810
139s [37]	validation_0-logloss:0.00791
139s [38]	validation_0-logloss:0.00764
139s [39]	validation_0-logloss:0.00752
139s [40]	validation_0-logloss:0.00738
139s [41]	validation_0-logloss:0.00723
139s [42]	validation_0-logloss:0.00706
139s [43]	validation_0-logloss:0.00694
139s [44]	validation_0-logloss:0.00688
139s [45]	validation_0-logloss:0.00671
139s [46]	validation_0-logloss:0.00661
139s [47]	validation_0-logloss:0.00649
139s [48]	validation_0-logloss:0.00637
139s [49]	validation_0-logloss:0.00628
139s [50]	validation_0-logloss:0.00623
139s [51]	validation_0-logloss:0.00618
139s [52]	validation_0-logloss:0.00614
139s [53]	validation_0-logloss:0.00609
139s [54]	validation_0-logloss:0.00600
139s [55]	validation_0-logloss:0.00589
139s [56]	validation_0-logloss:0.00582
139s [57]	validation_0-logloss:0.00578
139s [58]	validation_0-logloss:0.00572
139s [59]	validation_0-logloss:0.00568
139s [60]	validation_0-logloss:0.00565
139s [61]	validation_0-logloss:0.00561
139s [62]	validation_0-logloss:0.00558
139s [63]	validation_0-logloss:0.00555
139s [64]	validation_0-logloss:0.00551
139s [65]	validation_0-logloss:0.00548
139s [66]	validation_0-logloss:0.00545
139s [67]	validation_0-logloss:0.00541
139s [68]	validation_0-logloss:0.00538
139s [69]	validation_0-logloss:0.00535
139s [70]	validation_0-logloss:0.00532
139s [71]	validation_0-logloss:0.00530
139s [72]	validation_0-logloss:0.00527
139s [73]	validation_0-logloss:0.00524
139s [74]	validation_0-logloss:0.00521
139s [75]	validation_0-logloss:0.00519
139s [76]	validation_0-logloss:0.00516
139s [77]	validation_0-logloss:0.00513
139s [78]	validation_0-logloss:0.00511
139s [79]	validation_0-logloss:0.00509
139s [80]	validation_0-logloss:0.00506
139s [81]	validation_0-logloss:0.00504
139s [82]	validation_0-logloss:0.00502
139s [83]	validation_0-logloss:0.00499
139s [84]	validation_0-logloss:0.00497
139s [85]	validation_0-logloss:0.00494
139s [86]	validation_0-logloss:0.00492
139s [87]	validation_0-logloss:0.00490
139s [88]	validation_0-logloss:0.00488
139s [89]	validation_0-logloss:0.00486
139s [90]	validation_0-logloss:0.00484
139s [91]	validation_0-logloss:0.00482
139s [92]	validation_0-logloss:0.00480
139s [93]	validation_0-logloss:0.00478
139s [94]	validation_0-logloss:0.00476
139s [95]	validation_0-logloss:0.00473
139s [96]	validation_0-logloss:0.00472
139s [97]	validation_0-logloss:0.00470
139s [98]	validation_0-logloss:0.00468
139s [99]	validation_0-logloss:0.00466
139s [100]	validation_0-logloss:0.00464
139s [101]	validation_0-logloss:0.00462
139s [102]	validation_0-logloss:0.00461
139s [103]	validation_0-logloss:0.00459
139s [104]	validation_0-logloss:0.00457
139s [105]	validation_0-logloss:0.00455
139s [106]	validation_0-logloss:0.00454
139s [107]	validation_0-logloss:0.00452
139s [108]	validation_0-logloss:0.00451
139s [109]	validation_0-logloss:0.00449
139s [110]	validation_0-logloss:0.00448
139s [111]	validation_0-logloss:0.00446
139s [112]	validation_0-logloss:0.00445
139s [113]	validation_0-logloss:0.00443
139s [114]	validation_0-logloss:0.00441
139s [115]	validation_0-logloss:0.00440
139s [116]	validation_0-logloss:0.00439
139s [117]	validation_0-logloss:0.00437
139s [118]	validation_0-logloss:0.00436
139s [119]	validation_0-logloss:0.00434
139s [120]	validation_0-logloss:0.00433
139s [121]	validation_0-logloss:0.00431
139s [122]	validation_0-logloss:0.00430
139s [123]	validation_0-logloss:0.00429
139s [124]	validation_0-logloss:0.00428
139s [125]	validation_0-logloss:0.00426
139s [126]	validation_0-logloss:0.00425
139s [127]	validation_0-logloss:0.00424
139s Total boosted rounds: 128
139s [0]	validation_0-logloss:0.43225
139s [1]	validation_0-logloss:0.30771
139s [2]	validation_0-logloss:0.22782
139s [3]	validation_0-logloss:0.17444
139s [4]	validation_0-logloss:0.13419
139s [5]	validation_0-logloss:0.10523
139s [6]	validation_0-logloss:0.08455
139s [7]	validation_0-logloss:0.06900
139s [8]	validation_0-logloss:0.05759
139s [9]	validation_0-logloss:0.04836
139s [10]	validation_0-logloss:0.04116
139s [11]	validation_0-logloss:0.03541
139s [12]	validation_0-logloss:0.03074
139s [13]	validation_0-logloss:0.02739
139s [14]	validation_0-logloss:0.02442
139s [15]	validation_0-logloss:0.02206
139s [16]	validation_0-logloss:0.01991
139s [17]	validation_0-logloss:0.01818
139s [18]	validation_0-logloss:0.01675
139s [19]	validation_0-logloss:0.01574
139s [20]	validation_0-logloss:0.01460
139s [21]	validation_0-logloss:0.01382
139s [22]	validation_0-logloss:0.01303
139s [23]	validation_0-logloss:0.01242
139s [24]	validation_0-logloss:0.01178
139s [25]	validation_0-logloss:0.01141
139s [26]	validation_0-logloss:0.01102
139s [27]	validation_0-logloss:0.01065
139s [28]	validation_0-logloss:0.01036
139s [29]	validation_0-logloss:0.00993
139s [30]	validation_0-logloss:0.00965
139s [31]	validation_0-logloss:0.00919
139s [0]	validation_0-logloss:0.00899
139s [1]	validation_0-logloss:0.00875
139s [2]	validation_0-logloss:0.00851
139s [3]	validation_0-logloss:0.00834
139s [4]	validation_0-logloss:0.00810
139s [5]	validation_0-logloss:0.00791
139s [6]	validation_0-logloss:0.00764
139s [7]	validation_0-logloss:0.00752
139s [8]	validation_0-logloss:0.00738
139s [9]	validation_0-logloss:0.00723
139s [10]	validation_0-logloss:0.00706
139s [11]	validation_0-logloss:0.00694
139s [12]	validation_0-logloss:0.00688
139s [13]	validation_0-logloss:0.00671
139s [14]	validation_0-logloss:0.00661
139s [15]	validation_0-logloss:0.00649
139s [16]	validation_0-logloss:0.00637
139s [17]	validation_0-logloss:0.00628
139s [18]	validation_0-logloss:0.00623
139s [19]	validation_0-logloss:0.00618
139s [20]	validation_0-logloss:0.00614
139s [21]	validation_0-logloss:0.00609
139s [22]	validation_0-logloss:0.00600
139s [23]	validation_0-logloss:0.00589
139s [24]	validation_0-logloss:0.00582
139s [25]	validation_0-logloss:0.00578
139s [26]	validation_0-logloss:0.00572
139s [27]	validation_0-logloss:0.00568
139s [28]	validation_0-logloss:0.00565
139s [29]	validation_0-logloss:0.00561
139s [30]	validation_0-logloss:0.00558
139s [31]	validation_0-logloss:0.00555
139s [32]	validation_0-logloss:0.00551
139s [33]	validation_0-logloss:0.00548
139s [34]	validation_0-logloss:0.00545
139s [35]	validation_0-logloss:0.00541
139s [36]	validation_0-logloss:0.00538
139s [37]	validation_0-logloss:0.00535
139s [38]	validation_0-logloss:0.00532
139s [39]	validation_0-logloss:0.00530
139s [40]	validation_0-logloss:0.00527
139s [41]	validation_0-logloss:0.00524
139s [42]	validation_0-logloss:0.00521
139s [43]	validation_0-logloss:0.00519
139s [44]	validation_0-logloss:0.00516
139s [45]	validation_0-logloss:0.00513
139s [46]	validation_0-logloss:0.00511
139s [47]	validation_0-logloss:0.00509
139s [48]	validation_0-logloss:0.00506
139s [49]	validation_0-logloss:0.00504
139s [50]	validation_0-logloss:0.00502
139s [51]	validation_0-logloss:0.00499
139s [52]	validation_0-logloss:0.00497
139s [53]	validation_0-logloss:0.00494
139s [54]	validation_0-logloss:0.00492
139s [55]	validation_0-logloss:0.00490
139s [56]	validation_0-logloss:0.00488
139s [57]	validation_0-logloss:0.00486
139s [58]	validation_0-logloss:0.00484
139s [59]	validation_0-logloss:0.00482
139s [60]	validation_0-logloss:0.00480
139s [61]	validation_0-logloss:0.00478
139s [62]	validation_0-logloss:0.00476
139s [63]	validation_0-logloss:0.00473
139s [64]	validation_0-logloss:0.00472
139s [65]	validation_0-logloss:0.00470
139s [66]	validation_0-logloss:0.00468
139s [67]	validation_0-logloss:0.00466
139s [68]	validation_0-logloss:0.00464
139s [69]	validation_0-logloss:0.00462
139s [70]	validation_0-logloss:0.00461
139s [71]	validation_0-logloss:0.00459
139s [72]	validation_0-logloss:0.00457
139s [73]	validation_0-logloss:0.00455
139s [74]	validation_0-logloss:0.00454
139s [75]	validation_0-logloss:0.00452
139s [76]	validation_0-logloss:0.00451
139s [77]	validation_0-logloss:0.00449
139s [78]	validation_0-logloss:0.00448
139s [79]	validation_0-logloss:0.00446
139s [80]	validation_0-logloss:0.00445
139s [81]	validation_0-logloss:0.00443
139s [82]	validation_0-logloss:0.00441
139s [83]	validation_0-logloss:0.00440
139s [84]	validation_0-logloss:0.00439
139s [85]	validation_0-logloss:0.00437
139s [86]	validation_0-logloss:0.00436
139s [87]	validation_0-logloss:0.00434
139s [88]	validation_0-logloss:0.00433
139s [89]	validation_0-logloss:0.00431
139s [90]	validation_0-logloss:0.00430
139s [91]	validation_0-logloss:0.00429
139s [92]	validation_0-logloss:0.00428
139s [93]	validation_0-logloss:0.00426
139s [94]	validation_0-logloss:0.00425
139s [95]	validation_0-logloss:0.00424
139s Total boosted rounds: 128
139s [0]	validation_0-logloss:0.43225
139s [1]	validation_0-logloss:0.30771
139s [2]	validation_0-logloss:0.22782
139s [3]	validation_0-logloss:0.17444
139s [4]	validation_0-logloss:0.13419
139s [5]	validation_0-logloss:0.10523
139s [6]	validation_0-logloss:0.08455
139s [7]	validation_0-logloss:0.06900
139s [8]	validation_0-logloss:0.05759
139s [9]	validation_0-logloss:0.04836
139s [10]	validation_0-logloss:0.04116
139s [11]	validation_0-logloss:0.03541
139s [12]	validation_0-logloss:0.03074
139s [13]	validation_0-logloss:0.02739
139s [14]	validation_0-logloss:0.02442
139s [15]	validation_0-logloss:0.02206
139s [16]	validation_0-logloss:0.01991
139s [17]	validation_0-logloss:0.01818
139s [18]	validation_0-logloss:0.01675
139s [19]	validation_0-logloss:0.01574
139s [20]	validation_0-logloss:0.01460
139s [21]	validation_0-logloss:0.01382
139s [22]	validation_0-logloss:0.01303
139s [23]	validation_0-logloss:0.01242
139s [24]	validation_0-logloss:0.01178
139s [25]	validation_0-logloss:0.01141
139s [26]	validation_0-logloss:0.01102
139s [27]	validation_0-logloss:0.01065
139s [28]	validation_0-logloss:0.01036
139s [29]	validation_0-logloss:0.00993
139s [30]	validation_0-logloss:0.00965
139s [31]	validation_0-logloss:0.00919
139s [32]	validation_0-logloss:0.00899
139s [33]	validation_0-logloss:0.00875
139s [34]	validation_0-logloss:0.00851
139s [35]	validation_0-logloss:0.00834
139s [36]	validation_0-logloss:0.00810
139s [37]	validation_0-logloss:0.00791
139s [38]	validation_0-logloss:0.00764
139s [39]	validation_0-logloss:0.00752
139s [40]	validation_0-logloss:0.00738
139s [41]	validation_0-logloss:0.00723
139s [42]	validation_0-logloss:0.00706
139s [43]	validation_0-logloss:0.00694
139s [44]	validation_0-logloss:0.00688
139s [45]	validation_0-logloss:0.00671
139s [46]	validation_0-logloss:0.00661
139s [47]	validation_0-logloss:0.00649
139s [48]	validation_0-logloss:0.00637
139s [49]	validation_0-logloss:0.00628
139s [50]	validation_0-logloss:0.00623
139s [51]	validation_0-logloss:0.00618
139s [52]	validation_0-logloss:0.00614
139s [53]	validation_0-logloss:0.00609
139s [54]	validation_0-logloss:0.00600
139s [55]	validation_0-logloss:0.00589
139s [56]	validation_0-logloss:0.00582
139s [57]	validation_0-logloss:0.00578
139s [58]	validation_0-logloss:0.00572
139s [59]	validation_0-logloss:0.00568
139s [60]	validation_0-logloss:0.00565
139s [61]	validation_0-logloss:0.00561
139s [62]	validation_0-logloss:0.00558
139s [63]	validation_0-logloss:0.00555
139s [64]	validation_0-logloss:0.00551
139s [65]	validation_0-logloss:0.00548
139s [66]	validation_0-logloss:0.00545
139s [67]	validation_0-logloss:0.00541
139s [68]	validation_0-logloss:0.00538
139s [69]	validation_0-logloss:0.00535
139s [70]	validation_0-logloss:0.00532
139s [71]	validation_0-logloss:0.00530
139s [72]	validation_0-logloss:0.00527
139s [73]	validation_0-logloss:0.00524
139s [74]	validation_0-logloss:0.00521
139s [75]	validation_0-logloss:0.00519
139s [76]	validation_0-logloss:0.00516
139s [77]	validation_0-logloss:0.00513
139s [78]	validation_0-logloss:0.00511
139s [79]	validation_0-logloss:0.00509
139s [80]	validation_0-logloss:0.00506
139s [81]	validation_0-logloss:0.00504
139s [82]	validation_0-logloss:0.00502
139s [83]	validation_0-logloss:0.00499
139s [84]	validation_0-logloss:0.00497
139s [85]	validation_0-logloss:0.00494
139s [86]	validation_0-logloss:0.00492
139s [87]	validation_0-logloss:0.00490
139s [88]	validation_0-logloss:0.00488
139s [89]	validation_0-logloss:0.00486
139s [90]	validation_0-logloss:0.00484
139s [91]	validation_0-logloss:0.00482
139s [92]	validation_0-logloss:0.00480
139s [93]	validation_0-logloss:0.00478
139s [94]	validation_0-logloss:0.00476
139s [95]	validation_0-logloss:0.00473
139s [96]	validation_0-logloss:0.00472
139s [97]	validation_0-logloss:0.00470
139s [98]	validation_0-logloss:0.00468
139s [99]	validation_0-logloss:0.00466
139s [100]	validation_0-logloss:0.00464
139s [101]	validation_0-logloss:0.00462
139s [102]	validation_0-logloss:0.00461
139s [103]	validation_0-logloss:0.00459
139s [104]	validation_0-logloss:0.00457
139s [105]	validation_0-logloss:0.00455
139s [106]	validation_0-logloss:0.00454
139s [107]	validation_0-logloss:0.00452
139s [108]	validation_0-logloss:0.00451
139s [109]	validation_0-logloss:0.00449
139s [110]	validation_0-logloss:0.00448
139s [111]	validation_0-logloss:0.00446
139s [112]	validation_0-logloss:0.00445
139s [113]	validation_0-logloss:0.00443
139s [114]	validation_0-logloss:0.00441
139s [115]	validation_0-logloss:0.00440
139s [116]	validation_0-logloss:0.00439
139s [117]	validation_0-logloss:0.00437
139s [118]	validation_0-logloss:0.00436
139s [119]	validation_0-logloss:0.00434
139s [120]	validation_0-logloss:0.00433
139s [121]	validation_0-logloss:0.00431
139s [122]	validation_0-logloss:0.00430
139s [123]	validation_0-logloss:0.00429
139s [124]	validation_0-logloss:0.00428
139s [125]	validation_0-logloss:0.00426
139s [126]	validation_0-logloss:0.00425
139s [127]	validation_0-logloss:0.00424
139s Total boosted rounds: 128
139s [0]	validation_0-logloss:0.43225
139s [1]	validation_0-logloss:0.30771
139s [2]	validation_0-logloss:0.22782
139s [3]	validation_0-logloss:0.17444
139s [4]	validation_0-logloss:0.13419
139s [5]	validation_0-logloss:0.10523
139s [6]	validation_0-logloss:0.08455
139s [7]	validation_0-logloss:0.06900
139s [8]	validation_0-logloss:0.05759
139s [9]	validation_0-logloss:0.04836
139s [10]	validation_0-logloss:0.04116
139s [11]	validation_0-logloss:0.03541
139s [12]	validation_0-logloss:0.03074
139s [13]	validation_0-logloss:0.02739
139s [14]	validation_0-logloss:0.02442
139s [15]	validation_0-logloss:0.02206
139s [16]	validation_0-logloss:0.01991
139s [17]	validation_0-logloss:0.01818
139s [18]	validation_0-logloss:0.01675
139s [19]	validation_0-logloss:0.01574
139s [20]	validation_0-logloss:0.01460
139s [21]	validation_0-logloss:0.01382
139s [22]	validation_0-logloss:0.01303
139s [23]	validation_0-logloss:0.01242
139s [24]	validation_0-logloss:0.01178
139s [25]	validation_0-logloss:0.01141
139s [26]	validation_0-logloss:0.01102
139s [27]	validation_0-logloss:0.01065
139s [28]	validation_0-logloss:0.01036
139s [29]	validation_0-logloss:0.00993
139s [30]	validation_0-logloss:0.00965
139s [31]	validation_0-logloss:0.00919
139s [0]	validation_0-logloss:0.00899
139s [1]	validation_0-logloss:0.00875
139s [2]	validation_0-logloss:0.00851
139s [3]	validation_0-logloss:0.00834
139s [4]	validation_0-logloss:0.00810
139s [5]	validation_0-logloss:0.00791
139s [6]	validation_0-logloss:0.00764
139s [7]	validation_0-logloss:0.00752
139s [8]	validation_0-logloss:0.00738
139s [9]	validation_0-logloss:0.00723
139s [10]	validation_0-logloss:0.00706
139s [11]	validation_0-logloss:0.00694
139s [12]	validation_0-logloss:0.00688
139s [13]	validation_0-logloss:0.00671
139s [14]	validation_0-logloss:0.00661
139s [15]	validation_0-logloss:0.00649
139s [16]	validation_0-logloss:0.00637
139s [17]	validation_0-logloss:0.00628
139s [18]	validation_0-logloss:0.00623
139s [19]	validation_0-logloss:0.00618
139s [20]	validation_0-logloss:0.00614
139s [21]	validation_0-logloss:0.00609
139s [22]	validation_0-logloss:0.00600
139s [23]	validation_0-logloss:0.00589
139s [24]	validation_0-logloss:0.00582
139s [25]	validation_0-logloss:0.00578
139s [26]	validation_0-logloss:0.00572
139s [27]	validation_0-logloss:0.00568
139s [28]	validation_0-logloss:0.00565
139s [29]	validation_0-logloss:0.00561
139s [30]	validation_0-logloss:0.00558
139s [31]	validation_0-logloss:0.00555
139s [32]	validation_0-logloss:0.00551
139s [33]	validation_0-logloss:0.00548
139s [34]	validation_0-logloss:0.00545
139s [35]	validation_0-logloss:0.00541
139s [36]	validation_0-logloss:0.00538
139s [37]	validation_0-logloss:0.00535
139s [38]	validation_0-logloss:0.00532
139s [39]	validation_0-logloss:0.00530
139s [40]	validation_0-logloss:0.00527
139s [41]	validation_0-logloss:0.00524
139s [42]	validation_0-logloss:0.00521
139s [43]	validation_0-logloss:0.00519
139s [44]	validation_0-logloss:0.00516
139s [45]	validation_0-logloss:0.00513
139s [46]	validation_0-logloss:0.00511
139s [47]	validation_0-logloss:0.00509
139s [48]	validation_0-logloss:0.00506
139s [49]	validation_0-logloss:0.00504
139s [50]	validation_0-logloss:0.00502
139s [51]	validation_0-logloss:0.00499
139s [52]	validation_0-logloss:0.00497
139s [53]	validation_0-logloss:0.00494
139s [54]	validation_0-logloss:0.00492
139s [55]	validation_0-logloss:0.00490
139s [56]	validation_0-logloss:0.00488
139s [57]	validation_0-logloss:0.00486
139s [58]	validation_0-logloss:0.00484
139s [59]	validation_0-logloss:0.00482
139s [60]	validation_0-logloss:0.00480
139s [61]	validation_0-logloss:0.00478
139s [62]	validation_0-logloss:0.00476
139s [63]	validation_0-logloss:0.00473
139s [64]	validation_0-logloss:0.00472
139s [65]	validation_0-logloss:0.00470
139s [66]	validation_0-logloss:0.00468
139s [67]	validation_0-logloss:0.00466
139s [68]	validation_0-logloss:0.00464
139s [69]	validation_0-logloss:0.00462
139s [70]	validation_0-logloss:0.00461
139s [71]	validation_0-logloss:0.00459
139s [72]	validation_0-logloss:0.00457
139s [73]	validation_0-logloss:0.00455
139s [74]	validation_0-logloss:0.00454
139s [75]	validation_0-logloss:0.00452
139s [76]	validation_0-logloss:0.00451
139s [77]	validation_0-logloss:0.00449
139s [78]	validation_0-logloss:0.00448
139s [79]	validation_0-logloss:0.00446
139s [80]	validation_0-logloss:0.00445
139s [81]	validation_0-logloss:0.00443
139s [82]	validation_0-logloss:0.00441
139s [83]	validation_0-logloss:0.00440
139s [84]	validation_0-logloss:0.00439
139s [85]	validation_0-logloss:0.00437
139s [86]	validation_0-logloss:0.00436
139s [87]	validation_0-logloss:0.00434
139s [88]	validation_0-logloss:0.00433
139s [89]	validation_0-logloss:0.00431
139s [90]	validation_0-logloss:0.00430
139s [91]	validation_0-logloss:0.00429
139s [92]	validation_0-logloss:0.00428
139s [93]	validation_0-logloss:0.00426
139s [94]	validation_0-logloss:0.00425
139s [95]	validation_0-logloss:0.00424
139s Total boosted rounds: 128
139s ==========================================
139s Running case cross_validation.py...
140s running cross validation
140s [0]	train-error:0.05067+0.00920	test-error:0.05573+0.01589
140s [1]	train-error:0.02130+0.00206	test-error:0.02119+0.00365
140s /usr/lib/python3/dist-packages/xgboost/core.py:726: FutureWarning: Pass `rounds` as keyword args.
140s   warnings.warn(msg, FutureWarning)
140s running cross validation, disable standard deviation display
140s [0]	train-error:0.05067	test-error:0.05573
140s [1]	train-error:0.02130	test-error:0.02119
140s [2]	train-error:0.00994	test-error:0.00998
140s [3]	train-error:0.01413	test-error:0.01443
140s [4]	train-error:0.00599	test-error:0.00630
140s [5]	train-error:0.00203	test-error:0.00169
140s [6]	train-error:0.00123	test-error:0.00123
140s [7]	train-error:0.00123	test-error:0.00123
140s [8]	train-error:0.00092	test-error:0.00123
140s    train-error-mean  train-error-std  test-error-mean  test-error-std
140s 0          0.050668         0.009201         0.055732        0.015889
140s 1          0.021303         0.002055         0.021188        0.003653
140s 2          0.009942         0.006076         0.009979        0.004828
140s 3          0.014126         0.001706         0.014433        0.003517
140s 4          0.005988         0.001878         0.006295        0.003123
140s 5          0.002034         0.001469         0.001689        0.000574
140s 6          0.001228         0.000260         0.001228        0.001041
140s running cross validation, with preprocessing function
140s running cross validation, with customized loss function
140s ==========================================
140s Running case custom_rmsle.py...
140s /tmp/autopkgtest.eAyUA2/build.rZi/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s'
140s   :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}`
141s Squared Error
141s [0]	dtrain-rmse:682.95908	dtest-rmse:745.95555
141s [1]	dtrain-rmse:627.66199	dtest-rmse:751.49583
141s [2]	dtrain-rmse:596.74396	dtest-rmse:766.33054
141s [3]	dtrain-rmse:555.92371	dtest-rmse:776.92703
141s [4]	dtrain-rmse:519.58613	dtest-rmse:789.74145
141s [5]	dtrain-rmse:501.26007	dtest-rmse:805.22881
141s [6]	dtrain-rmse:453.81757	dtest-rmse:810.70817
141s [7]	dtrain-rmse:423.51474	dtest-rmse:822.61798
141s [8]	dtrain-rmse:383.34479	dtest-rmse:826.43243
141s [9]	dtrain-rmse:371.08179	dtest-rmse:827.23674
141s [10]	dtrain-rmse:353.11776	dtest-rmse:828.84174
141s [11]	dtrain-rmse:316.42149	dtest-rmse:832.98904
141s [12]	dtrain-rmse:300.24359	dtest-rmse:834.90637
141s [13]	dtrain-rmse:285.81935	dtest-rmse:836.55001
141s [14]	dtrain-rmse:278.47432	dtest-rmse:838.29965
141s [15]	dtrain-rmse:266.08310	dtest-rmse:840.16158
141s [16]	dtrain-rmse:261.48875	dtest-rmse:841.45332
141s [17]	dtrain-rmse:253.15765	dtest-rmse:841.96773
141s [18]	dtrain-rmse:246.41335	dtest-rmse:842.26433
141s [19]	dtrain-rmse:242.90377	dtest-rmse:843.24280
141s Finished Squared Error in: 0.048717498779296875 
141s 
141s Squared Log Error
141s [0]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [1]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [2]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [3]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [4]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [5]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [6]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [7]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [8]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [9]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [10]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [11]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [12]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [13]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [14]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [15]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [16]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [17]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [18]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s [19]	dtrain-rmsle:2.98805	dtest-rmsle:2.99076
141s Finished Squared Log Error in: 0.014076948165893555
141s [0]	dtrain-PyRMSLE:1.37154	dtest-PyRMSLE:1.31491
141s [1]	dtrain-PyRMSLE:1.26642	dtest-PyRMSLE:1.20792
141s [2]	dtrain-PyRMSLE:1.17525	dtest-PyRMSLE:1.11539
141s [3]	dtrain-PyRMSLE:1.09848	dtest-PyRMSLE:1.03800
141s [4]	dtrain-PyRMSLE:1.03565	dtest-PyRMSLE:0.97673
141s [5]	dtrain-PyRMSLE:0.98595	dtest-PyRMSLE:0.93063
141s [6]	dtrain-PyRMSLE:0.94774	dtest-PyRMSLE:0.89723
141s [7]	dtrain-PyRMSLE:0.91977	dtest-PyRMSLE:0.87448
142s [8]	dtrain-PyRMSLE:0.89796	dtest-PyRMSLE:0.85932
142s [9]	dtrain-PyRMSLE:0.88141	dtest-PyRMSLE:0.85028
142s [10]	dtrain-PyRMSLE:0.86816	dtest-PyRMSLE:0.84450
142s [11]	dtrain-PyRMSLE:0.85991	dtest-PyRMSLE:0.84015
142s [12]	dtrain-PyRMSLE:0.85120	dtest-PyRMSLE:0.83900
142s [13]	dtrain-PyRMSLE:0.84384	dtest-PyRMSLE:0.83775
142s [14]	dtrain-PyRMSLE:0.83741	dtest-PyRMSLE:0.83732
142s [15]	dtrain-PyRMSLE:0.83253	dtest-PyRMSLE:0.83800
142s [16]	dtrain-PyRMSLE:0.82842	dtest-PyRMSLE:0.83827
142s [17]	dtrain-PyRMSLE:0.82535	dtest-PyRMSLE:0.83844
142s [18]	dtrain-PyRMSLE:0.82169	dtest-PyRMSLE:0.83953
142s [19]	dtrain-PyRMSLE:0.81857	dtest-PyRMSLE:0.84046
142s ==========================================
142s Running case custom_softmax.py...
143s /tmp/autopkgtest.eAyUA2/build.rZi/src/demo/guide-python/custom_softmax.py:79: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
143s   grad[r, c] = g
143s [0]	train-PyMError:0.14000
143s [1]	train-PyMError:0.00000
143s [2]	train-PyMError:0.01000
143s [3]	train-PyMError:0.00000
143s [4]	train-PyMError:0.00000
143s [5]	train-PyMError:0.00000
143s [6]	train-PyMError:0.00000
143s [7]	train-PyMError:0.00000
143s [8]	train-PyMError:0.00000
143s [9]	train-PyMError:0.00000
143s [0]	train-merror:0.14000
143s [1]	train-merror:0.00000
143s [2]	train-merror:0.01000
143s [3]	train-merror:0.00000
143s [4]	train-merror:0.00000
143s [5]	train-merror:0.00000
143s [6]	train-merror:0.00000
143s [7]	train-merror:0.00000
143s [8]	train-merror:0.00000
143s [9]	train-merror:0.00000
143s ==========================================
143s Skip case distributed_extmem_basic.py...
143s ==========================================
143s Running case evals_result.py...
144s /usr/lib/python3/dist-packages/xgboost/core.py:726: FutureWarning: Pass `evals` as keyword args.
144s   warnings.warn(msg, FutureWarning)
144s [0]	eval-logloss:0.47977	eval-error:0.04283	train-logloss:0.48196	train-error:0.04652
144s [1]	eval-logloss:0.35740	eval-error:0.04283	train-logloss:0.35919	train-error:0.04652
144s Access logloss metric directly from evals_result:
144s [0.4797661610266794, 0.3573965179594609]
144s 
144s Access metrics through a loop:
144s - eval
144s    - logloss
144s       - [0.4797661610266794, 0.3573965179594609]
144s    - error
144s       - [0.04283054003724395, 0.04283054003724395]
144s - train
144s    - logloss
144s       - [0.48195815131665376, 0.35919415795654813]
144s    - error
144s       - [0.04652233993551359, 0.04652233993551359]
144s 
144s Access complete dictionary:
144s {'eval': OrderedDict({'logloss': [0.4797661610266794, 0.3573965179594609], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.48195815131665376, 0.35919415795654813], 'error': [0.04652233993551359, 0.04652233993551359]})}
144s ==========================================
144s Running case external_memory.py...
145s [0]	Train-rmse:170.67905
145s [1]	Train-rmse:166.88130
145s [2]	Train-rmse:163.67251
145s [3]	Train-rmse:160.83024
145s [4]	Train-rmse:158.26351
145s [5]	Train-rmse:155.91569
145s [6]	Train-rmse:153.74380
145s [7]	Train-rmse:151.74583
145s [8]	Train-rmse:149.92400
145s [9]	Train-rmse:148.14658
145s [0]	Train-rmse:170.67905
145s [1]	Train-rmse:166.88130
145s [2]	Train-rmse:163.67251
145s [3]	Train-rmse:160.83024
145s [4]	Train-rmse:158.26351
146s [5]	Train-rmse:155.91569
146s [6]	Train-rmse:153.74380
146s [7]	Train-rmse:151.74583
146s [8]	Train-rmse:149.92400
146s [9]	Train-rmse:148.14658
146s ==========================================
146s Running case feature_weights.py...
147s [0]	d-rmse:1.00430
147s [1]	d-rmse:0.99638
147s [2]	d-rmse:0.98161
147s [3]	d-rmse:0.97086
147s [4]	d-rmse:0.96269
147s [5]	d-rmse:0.94829
147s [6]	d-rmse:0.93914
147s [7]	d-rmse:0.93187
147s [8]	d-rmse:0.92274
147s [9]	d-rmse:0.91749
147s ==========================================
147s Skip case gamma_regression.py...
147s ==========================================
147s Running case generalized_linear_model.py...
148s /usr/lib/python3/dist-packages/xgboost/core.py:726: FutureWarning: Pass `evals` as keyword args.
148s   warnings.warn(msg, FutureWarning)
148s [0]	eval-logloss:0.57156	train-logloss:0.56894
148s [1]	eval-logloss:0.53019	train-logloss:0.52656
148s [2]	eval-logloss:0.51464	train-logloss:0.51065
148s [3]	eval-logloss:0.50830	train-logloss:0.50415
148s error=0.118560
148s ==========================================
148s Running case individual_trees.py...
149s ==========================================
149s Skip case learning_to_rank.py...
149s ==========================================
149s Skip case model_parser.py...
149s ==========================================
149s Running case multioutput_regression.py...
151s [0]	validation_0-rmse:0.29417
151s [1]	validation_0-rmse:0.26360
151s [2]	validation_0-rmse:0.23619
151s [3]	validation_0-rmse:0.22068
151s [4]	validation_0-rmse:0.20681
151s [5]	validation_0-rmse:0.19295
151s [6]	validation_0-rmse:0.17849
151s [7]	validation_0-rmse:0.16562
151s [8]	validation_0-rmse:0.15492
151s [9]	validation_0-rmse:0.14493
151s [10]	validation_0-rmse:0.13892
151s [11]	validation_0-rmse:0.13172
151s [12]	validation_0-rmse:0.12253
151s [13]	validation_0-rmse:0.11744
151s [14]	validation_0-rmse:0.10981
151s [15]	validation_0-rmse:0.10176
151s [16]	validation_0-rmse:0.09476
151s [17]	validation_0-rmse:0.08947
151s [18]	validation_0-rmse:0.08399
151s [19]	validation_0-rmse:0.07952
151s [20]	validation_0-rmse:0.07442
151s [21]	validation_0-rmse:0.07048
151s [22]	validation_0-rmse:0.06749
151s [23]	validation_0-rmse:0.06505
151s [24]	validation_0-rmse:0.06060
151s [25]	validation_0-rmse:0.05737
151s [26]	validation_0-rmse:0.05539
151s [27]	validation_0-rmse:0.05326
151s [28]	validation_0-rmse:0.05026
151s [29]	validation_0-rmse:0.04692
151s [30]	validation_0-rmse:0.04501
151s [31]	validation_0-rmse:0.04175
151s [32]	validation_0-rmse:0.03970
151s [33]	validation_0-rmse:0.03683
151s [34]	validation_0-rmse:0.03430
151s [35]	validation_0-rmse:0.03219
151s [36]	validation_0-rmse:0.03058
151s [37]	validation_0-rmse:0.02914
151s [38]	validation_0-rmse:0.02778
151s [39]	validation_0-rmse:0.02611
151s [40]	validation_0-rmse:0.02504
151s [41]	validation_0-rmse:0.02322
151s [42]	validation_0-rmse:0.02212
151s [43]	validation_0-rmse:0.02129
151s [44]	validation_0-rmse:0.01992
151s [45]	validation_0-rmse:0.01930
151s [46]	validation_0-rmse:0.01864
151s [47]	validation_0-rmse:0.01744
151s [48]	validation_0-rmse:0.01618
151s [49]	validation_0-rmse:0.01521
151s [50]	validation_0-rmse:0.01428
151s [51]	validation_0-rmse:0.01346
151s [52]	validation_0-rmse:0.01276
151s [53]	validation_0-rmse:0.01209
151s [54]	validation_0-rmse:0.01154
151s [55]	validation_0-rmse:0.01094
151s [56]	validation_0-rmse:0.01023
151s [57]	validation_0-rmse:0.00979
151s [58]	validation_0-rmse:0.00934
151s [59]	validation_0-rmse:0.00879
151s [60]	validation_0-rmse:0.00845
151s [61]	validation_0-rmse:0.00822
151s [62]	validation_0-rmse:0.00790
151s [63]	validation_0-rmse:0.00742
151s [64]	validation_0-rmse:0.00711
151s [65]	validation_0-rmse:0.00682
151s [66]	validation_0-rmse:0.00644
151s [67]	validation_0-rmse:0.00615
151s [68]	validation_0-rmse:0.00577
151s [69]	validation_0-rmse:0.00553
151s [70]	validation_0-rmse:0.00514
151s [71]	validation_0-rmse:0.00493
151s [72]	validation_0-rmse:0.00468
151s [73]	validation_0-rmse:0.00443
151s [74]	validation_0-rmse:0.00426
151s [75]	validation_0-rmse:0.00389
151s [76]	validation_0-rmse:0.00362
151s [77]	validation_0-rmse:0.00340
151s [78]	validation_0-rmse:0.00323
151s [79]	validation_0-rmse:0.00303
151s [80]	validation_0-rmse:0.00288
151s [81]	validation_0-rmse:0.00275
151s [82]	validation_0-rmse:0.00264
151s [83]	validation_0-rmse:0.00253
151s [84]	validation_0-rmse:0.00240
151s [85]	validation_0-rmse:0.00230
151s [86]	validation_0-rmse:0.00219
151s [87]	validation_0-rmse:0.00208
151s [88]	validation_0-rmse:0.00198
151s [89]	validation_0-rmse:0.00191
151s [90]	validation_0-rmse:0.00183
151s [91]	validation_0-rmse:0.00173
151s [92]	validation_0-rmse:0.00169
151s [93]	validation_0-rmse:0.00161
151s [94]	validation_0-rmse:0.00154
151s [95]	validation_0-rmse:0.00148
151s [96]	validation_0-rmse:0.00145
151s [97]	validation_0-rmse:0.00141
151s [98]	validation_0-rmse:0.00138
151s [99]	validation_0-rmse:0.00134
151s [100]	validation_0-rmse:0.00131
151s [101]	validation_0-rmse:0.00128
151s [102]	validation_0-rmse:0.00122
151s [103]	validation_0-rmse:0.00121
151s [104]	validation_0-rmse:0.00119
151s [105]	validation_0-rmse:0.00117
151s [106]	validation_0-rmse:0.00113
151s [107]	validation_0-rmse:0.00111
151s [108]	validation_0-rmse:0.00108
151s [109]	validation_0-rmse:0.00104
151s [110]	validation_0-rmse:0.00104
151s [111]	validation_0-rmse:0.00102
151s [112]	validation_0-rmse:0.00100
151s [113]	validation_0-rmse:0.00100
151s [114]	validation_0-rmse:0.00098
151s [115]	validation_0-rmse:0.00098
151s [116]	validation_0-rmse:0.00097
151s [117]	validation_0-rmse:0.00097
151s [118]	validation_0-rmse:0.00097
151s [119]	validation_0-rmse:0.00097
151s [120]	validation_0-rmse:0.00097
151s [121]	validation_0-rmse:0.00096
151s [122]	validation_0-rmse:0.00096
151s [123]	validation_0-rmse:0.00095
151s [124]	validation_0-rmse:0.00093
151s [125]	validation_0-rmse:0.00093
151s [126]	validation_0-rmse:0.00093
151s [127]	validation_0-rmse:0.00092
151s [0]	validation_0-rmse:0.29633
151s [1]	validation_0-rmse:0.27038
151s [2]	validation_0-rmse:0.24670
151s [3]	validation_0-rmse:0.22485
151s [4]	validation_0-rmse:0.20795
151s [5]	validation_0-rmse:0.19109
151s [6]	validation_0-rmse:0.17936
151s [7]	validation_0-rmse:0.17053
151s [8]	validation_0-rmse:0.16198
151s [9]	validation_0-rmse:0.15406
151s [10]	validation_0-rmse:0.14510
151s [11]	validation_0-rmse:0.13641
151s [12]	validation_0-rmse:0.12550
151s [13]	validation_0-rmse:0.11761
151s [14]	validation_0-rmse:0.11132
151s [15]	validation_0-rmse:0.10186
151s [16]	validation_0-rmse:0.09376
151s [17]	validation_0-rmse:0.08897
151s [18]	validation_0-rmse:0.08226
151s [19]	validation_0-rmse:0.07742
151s [20]	validation_0-rmse:0.07209
151s [21]	validation_0-rmse:0.06959
151s [22]	validation_0-rmse:0.06703
151s [23]	validation_0-rmse:0.06274
151s [24]	validation_0-rmse:0.05932
151s [25]	validation_0-rmse:0.05540
151s [26]	validation_0-rmse:0.05157
151s [27]	validation_0-rmse:0.04830
151s [28]	validation_0-rmse:0.04540
151s [29]	validation_0-rmse:0.04313
151s [30]	validation_0-rmse:0.04098
151s [31]	validation_0-rmse:0.03869
151s [32]	validation_0-rmse:0.03728
151s [33]	validation_0-rmse:0.03536
151s [34]	validation_0-rmse:0.03372
151s [35]	validation_0-rmse:0.03235
151s [36]	validation_0-rmse:0.03093
151s [37]	validation_0-rmse:0.02889
151s [38]	validation_0-rmse:0.02686
151s [39]	validation_0-rmse:0.02547
151s [40]	validation_0-rmse:0.02372
151s [41]	validation_0-rmse:0.02209
151s [42]	validation_0-rmse:0.02130
151s [43]	validation_0-rmse:0.02008
151s [44]	validation_0-rmse:0.01901
151s [45]	validation_0-rmse:0.01851
151s [46]	validation_0-rmse:0.01714
151s [47]	validation_0-rmse:0.01644
151s [48]	validation_0-rmse:0.01585
151s [49]	validation_0-rmse:0.01493
151s [50]	validation_0-rmse:0.01370
151s [51]	validation_0-rmse:0.01309
151s [52]	validation_0-rmse:0.01257
151s [53]	validation_0-rmse:0.01193
151s [54]	validation_0-rmse:0.01136
151s [55]	validation_0-rmse:0.01080
151s [56]	validation_0-rmse:0.01010
151s [57]	validation_0-rmse:0.00947
151s [58]	validation_0-rmse:0.00871
151s [59]	validation_0-rmse:0.00818
151s [60]	validation_0-rmse:0.00766
151s [61]	validation_0-rmse:0.00737
151s [62]	validation_0-rmse:0.00695
151s [63]	validation_0-rmse:0.00658
151s [64]	validation_0-rmse:0.00616
151s [65]	validation_0-rmse:0.00595
151s [66]	validation_0-rmse:0.00566
151s [67]	validation_0-rmse:0.00526
151s [68]	validation_0-rmse:0.00487
151s [69]	validation_0-rmse:0.00469
151s [70]	validation_0-rmse:0.00446
151s [71]	validation_0-rmse:0.00422
151s [72]	validation_0-rmse:0.00403
151s [73]	validation_0-rmse:0.00381
151s [74]	validation_0-rmse:0.00360
151s [75]	validation_0-rmse:0.00346
151s [76]	validation_0-rmse:0.00330
151s [77]	validation_0-rmse:0.00312
151s [78]	validation_0-rmse:0.00296
151s [79]	validation_0-rmse:0.00284
151s [80]	validation_0-rmse:0.00275
151s [81]	validation_0-rmse:0.00264
151s [82]	validation_0-rmse:0.00251
151s [83]	validation_0-rmse:0.00242
151s [84]	validation_0-rmse:0.00231
151s [85]	validation_0-rmse:0.00222
151s [86]	validation_0-rmse:0.00212
151s [87]	validation_0-rmse:0.00203
151s [88]	validation_0-rmse:0.00192
151s [89]	validation_0-rmse:0.00181
151s [90]	validation_0-rmse:0.00174
151s [91]	validation_0-rmse:0.00168
151s [92]	validation_0-rmse:0.00159
151s [93]	validation_0-rmse:0.00153
151s [94]	validation_0-rmse:0.00147
151s [95]	validation_0-rmse:0.00142
151s [96]	validation_0-rmse:0.00138
151s [97]	validation_0-rmse:0.00130
151s [98]	validation_0-rmse:0.00123
151s [99]	validation_0-rmse:0.00118
151s [100]	validation_0-rmse:0.00114
151s [101]	validation_0-rmse:0.00112
151s [102]	validation_0-rmse:0.00110
151s [103]	validation_0-rmse:0.00106
151s [104]	validation_0-rmse:0.00103
151s [105]	validation_0-rmse:0.00102
151s [106]	validation_0-rmse:0.00099
151s [107]	validation_0-rmse:0.00096
151s [108]	validation_0-rmse:0.00094
151s [109]	validation_0-rmse:0.00093
151s [110]	validation_0-rmse:0.00091
151s [111]	validation_0-rmse:0.00087
151s [112]	validation_0-rmse:0.00086
151s [113]	validation_0-rmse:0.00084
151s [114]	validation_0-rmse:0.00084
151s [115]	validation_0-rmse:0.00083
151s [116]	validation_0-rmse:0.00083
151s [117]	validation_0-rmse:0.00082
151s [118]	validation_0-rmse:0.00082
151s [119]	validation_0-rmse:0.00081
151s [120]	validation_0-rmse:0.00080
151s [121]	validation_0-rmse:0.00079
151s [122]	validation_0-rmse:0.00079
151s [123]	validation_0-rmse:0.00078
151s [124]	validation_0-rmse:0.00078
151s [125]	validation_0-rmse:0.00077
151s [126]	validation_0-rmse:0.00077
151s [127]	validation_0-rmse:0.00076
151s [0]	Train-rmse:0.28597	Train-PyRMSE:4.04424
151s [1]	Train-rmse:0.25494	Train-PyRMSE:3.60534
151s [2]	Train-rmse:0.23359	Train-PyRMSE:3.30341
151s [3]	Train-rmse:0.21640	Train-PyRMSE:3.06038
151s [4]	Train-rmse:0.20574	Train-PyRMSE:2.90962
151s [5]	Train-rmse:0.19311	Train-PyRMSE:2.73098
151s [6]	Train-rmse:0.18435	Train-PyRMSE:2.60710
151s [7]	Train-rmse:0.17502	Train-PyRMSE:2.47516
151s [8]	Train-rmse:0.16830	Train-PyRMSE:2.38017
151s [9]	Train-rmse:0.15957	Train-PyRMSE:2.25667
151s [10]	Train-rmse:0.15430	Train-PyRMSE:2.18211
151s [11]	Train-rmse:0.14604	Train-PyRMSE:2.06533
151s [12]	Train-rmse:0.13629	Train-PyRMSE:1.92740
151s [13]	Train-rmse:0.13249	Train-PyRMSE:1.87376
151s [14]	Train-rmse:0.12557	Train-PyRMSE:1.77588
151s [15]	Train-rmse:0.12198	Train-PyRMSE:1.72505
151s [16]	Train-rmse:0.11972	Train-PyRMSE:1.69314
151s [17]	Train-rmse:0.11345	Train-PyRMSE:1.60444
151s [18]	Train-rmse:0.10926	Train-PyRMSE:1.54524
151s [19]	Train-rmse:0.10367	Train-PyRMSE:1.46616
151s [20]	Train-rmse:0.09938	Train-PyRMSE:1.40550
151s [21]	Train-rmse:0.09543	Train-PyRMSE:1.34963
151s [22]	Train-rmse:0.09302	Train-PyRMSE:1.31552
151s [23]	Train-rmse:0.08848	Train-PyRMSE:1.25132
151s [24]	Train-rmse:0.08575	Train-PyRMSE:1.21274
151s [25]	Train-rmse:0.08280	Train-PyRMSE:1.17092
151s [26]	Train-rmse:0.07694	Train-PyRMSE:1.08803
151s [27]	Train-rmse:0.07375	Train-PyRMSE:1.04299
151s [28]	Train-rmse:0.07137	Train-PyRMSE:1.00927
151s [29]	Train-rmse:0.06737	Train-PyRMSE:0.95281
151s [30]	Train-rmse:0.06433	Train-PyRMSE:0.90978
151s [31]	Train-rmse:0.06239	Train-PyRMSE:0.88235
151s [32]	Train-rmse:0.06093	Train-PyRMSE:0.86164
151s [33]	Train-rmse:0.05800	Train-PyRMSE:0.82031
151s [34]	Train-rmse:0.05568	Train-PyRMSE:0.78745
151s [35]	Train-rmse:0.05430	Train-PyRMSE:0.76797
151s [36]	Train-rmse:0.05124	Train-PyRMSE:0.72468
151s [37]	Train-rmse:0.04849	Train-PyRMSE:0.68580
151s [38]	Train-rmse:0.04754	Train-PyRMSE:0.67231
151s [39]	Train-rmse:0.04704	Train-PyRMSE:0.66519
151s [40]	Train-rmse:0.04449	Train-PyRMSE:0.62916
151s [41]	Train-rmse:0.04374	Train-PyRMSE:0.61865
151s [42]	Train-rmse:0.04281	Train-PyRMSE:0.60545
151s [43]	Train-rmse:0.04101	Train-PyRMSE:0.58000
151s [44]	Train-rmse:0.03921	Train-PyRMSE:0.55448
151s [45]	Train-rmse:0.03761	Train-PyRMSE:0.53186
151s [46]	Train-rmse:0.03628	Train-PyRMSE:0.51314
151s [47]	Train-rmse:0.03566	Train-PyRMSE:0.50431
151s [48]	Train-rmse:0.03379	Train-PyRMSE:0.47782
151s [49]	Train-rmse:0.03265	Train-PyRMSE:0.46180
151s [50]	Train-rmse:0.03208	Train-PyRMSE:0.45373
151s [51]	Train-rmse:0.03132	Train-PyRMSE:0.44294
151s [52]	Train-rmse:0.03024	Train-PyRMSE:0.42768
151s [53]	Train-rmse:0.02897	Train-PyRMSE:0.40968
151s [54]	Train-rmse:0.02838	Train-PyRMSE:0.40136
151s [55]	Train-rmse:0.02777	Train-PyRMSE:0.39273
151s [56]	Train-rmse:0.02668	Train-PyRMSE:0.37727
151s [57]	Train-rmse:0.02579	Train-PyRMSE:0.36475
151s [58]	Train-rmse:0.02436	Train-PyRMSE:0.34444
151s [59]	Train-rmse:0.02411	Train-PyRMSE:0.34092
151s [60]	Train-rmse:0.02344	Train-PyRMSE:0.33144
151s [61]	Train-rmse:0.02296	Train-PyRMSE:0.32477
151s [62]	Train-rmse:0.02203	Train-PyRMSE:0.31151
151s [63]	Train-rmse:0.02109	Train-PyRMSE:0.29828
151s [64]	Train-rmse:0.02058	Train-PyRMSE:0.29102
151s [65]	Train-rmse:0.02017	Train-PyRMSE:0.28528
151s [66]	Train-rmse:0.01945	Train-PyRMSE:0.27500
151s [67]	Train-rmse:0.01861	Train-PyRMSE:0.26320
151s [68]	Train-rmse:0.01835	Train-PyRMSE:0.25955
151s [69]	Train-rmse:0.01763	Train-PyRMSE:0.24935
151s [70]	Train-rmse:0.01697	Train-PyRMSE:0.24001
151s [71]	Train-rmse:0.01633	Train-PyRMSE:0.23098
151s [72]	Train-rmse:0.01582	Train-PyRMSE:0.22368
151s [73]	Train-rmse:0.01562	Train-PyRMSE:0.22096
151s [74]	Train-rmse:0.01507	Train-PyRMSE:0.21311
151s [75]	Train-rmse:0.01488	Train-PyRMSE:0.21037
151s [76]	Train-rmse:0.01417	Train-PyRMSE:0.20036
151s [77]	Train-rmse:0.01362	Train-PyRMSE:0.19265
151s [78]	Train-rmse:0.01314	Train-PyRMSE:0.18588
151s [79]	Train-rmse:0.01263	Train-PyRMSE:0.17868
151s [80]	Train-rmse:0.01246	Train-PyRMSE:0.17623
151s [81]	Train-rmse:0.01228	Train-PyRMSE:0.17369
151s [82]	Train-rmse:0.01171	Train-PyRMSE:0.16556
151s [83]	Train-rmse:0.01120	Train-PyRMSE:0.15845
151s [84]	Train-rmse:0.01081	Train-PyRMSE:0.15289
151s [85]	Train-rmse:0.01031	Train-PyRMSE:0.14579
151s [86]	Train-rmse:0.00992	Train-PyRMSE:0.14032
151s [87]	Train-rmse:0.00976	Train-PyRMSE:0.13809
151s [88]	Train-rmse:0.00950	Train-PyRMSE:0.13438
151s [89]	Train-rmse:0.00914	Train-PyRMSE:0.12930
151s [90]	Train-rmse:0.00878	Train-PyRMSE:0.12417
151s [91]	Train-rmse:0.00845	Train-PyRMSE:0.11946
151s [92]	Train-rmse:0.00833	Train-PyRMSE:0.11779
151s [93]	Train-rmse:0.00816	Train-PyRMSE:0.11542
151s [94]	Train-rmse:0.00786	Train-PyRMSE:0.11115
151s [95]	Train-rmse:0.00751	Train-PyRMSE:0.10622
151s [96]	Train-rmse:0.00742	Train-PyRMSE:0.10500
151s [97]	Train-rmse:0.00718	Train-PyRMSE:0.10148
151s [98]	Train-rmse:0.00707	Train-PyRMSE:0.10001
151s [99]	Train-rmse:0.00685	Train-PyRMSE:0.09681
151s [100]	Train-rmse:0.00676	Train-PyRMSE:0.09558
151s [101]	Train-rmse:0.00654	Train-PyRMSE:0.09255
151s [102]	Train-rmse:0.00628	Train-PyRMSE:0.08888
151s [103]	Train-rmse:0.00601	Train-PyRMSE:0.08495
151s [104]	Train-rmse:0.00583	Train-PyRMSE:0.08240
151s [105]	Train-rmse:0.00576	Train-PyRMSE:0.08150
151s [106]	Train-rmse:0.00568	Train-PyRMSE:0.08027
151s [107]	Train-rmse:0.00542	Train-PyRMSE:0.07665
151s [108]	Train-rmse:0.00521	Train-PyRMSE:0.07373
151s [109]	Train-rmse:0.00502	Train-PyRMSE:0.07100
151s [110]	Train-rmse:0.00486	Train-PyRMSE:0.06869
151s [111]	Train-rmse:0.00468	Train-PyRMSE:0.06612
151s [112]	Train-rmse:0.00452	Train-PyRMSE:0.06399
151s [113]	Train-rmse:0.00447	Train-PyRMSE:0.06324
151s [114]	Train-rmse:0.00429	Train-PyRMSE:0.06062
151s [115]	Train-rmse:0.00414	Train-PyRMSE:0.05856
151s [116]	Train-rmse:0.00403	Train-PyRMSE:0.05697
151s [117]	Train-rmse:0.00389	Train-PyRMSE:0.05498
151s [118]	Train-rmse:0.00377	Train-PyRMSE:0.05330
151s [119]	Train-rmse:0.00371	Train-PyRMSE:0.05251
151s [120]	Train-rmse:0.00358	Train-PyRMSE:0.05058
151s [121]	Train-rmse:0.00349	Train-PyRMSE:0.04940
151s [122]	Train-rmse:0.00336	Train-PyRMSE:0.04751
151s [123]	Train-rmse:0.00332	Train-PyRMSE:0.04702
151s [124]	Train-rmse:0.00324	Train-PyRMSE:0.04584
151s [125]	Train-rmse:0.00321	Train-PyRMSE:0.04542
151s [126]	Train-rmse:0.00318	Train-PyRMSE:0.04502
151s [127]	Train-rmse:0.00308	Train-PyRMSE:0.04355
151s [0]	Train-rmse:0.29790	Train-PyRMSE:4.21300
151s [1]	Train-rmse:0.26995	Train-PyRMSE:3.81773
151s [2]	Train-rmse:0.24596	Train-PyRMSE:3.47845
151s [3]	Train-rmse:0.22962	Train-PyRMSE:3.24727
151s [4]	Train-rmse:0.22042	Train-PyRMSE:3.11716
151s [5]	Train-rmse:0.20740	Train-PyRMSE:2.93305
151s [6]	Train-rmse:0.20148	Train-PyRMSE:2.84940
151s [7]	Train-rmse:0.19043	Train-PyRMSE:2.69310
151s [8]	Train-rmse:0.18596	Train-PyRMSE:2.62991
151s [9]	Train-rmse:0.17844	Train-PyRMSE:2.52354
151s [10]	Train-rmse:0.17484	Train-PyRMSE:2.47255
151s [11]	Train-rmse:0.15904	Train-PyRMSE:2.24910
151s [12]	Train-rmse:0.15243	Train-PyRMSE:2.15566
151s [13]	Train-rmse:0.14346	Train-PyRMSE:2.02886
151s [14]	Train-rmse:0.13921	Train-PyRMSE:1.96873
151s [15]	Train-rmse:0.13760	Train-PyRMSE:1.94597
151s [16]	Train-rmse:0.13004	Train-PyRMSE:1.83909
151s [17]	Train-rmse:0.12588	Train-PyRMSE:1.78025
151s [18]	Train-rmse:0.12472	Train-PyRMSE:1.76382
151s [19]	Train-rmse:0.11921	Train-PyRMSE:1.68592
151s [20]	Train-rmse:0.11146	Train-PyRMSE:1.57621
151s [21]	Train-rmse:0.10750	Train-PyRMSE:1.52031
151s [22]	Train-rmse:0.10276	Train-PyRMSE:1.45326
151s [23]	Train-rmse:0.10194	Train-PyRMSE:1.44162
151s [24]	Train-rmse:0.09842	Train-PyRMSE:1.39186
151s [25]	Train-rmse:0.09715	Train-PyRMSE:1.37398
151s [26]	Train-rmse:0.09312	Train-PyRMSE:1.31692
151s [27]	Train-rmse:0.09226	Train-PyRMSE:1.30482
151s [28]	Train-rmse:0.08662	Train-PyRMSE:1.22503
151s [29]	Train-rmse:0.08231	Train-PyRMSE:1.16407
151s [30]	Train-rmse:0.08159	Train-PyRMSE:1.15381
151s [31]	Train-rmse:0.07851	Train-PyRMSE:1.11031
151s [32]	Train-rmse:0.07481	Train-PyRMSE:1.05796
151s [33]	Train-rmse:0.07150	Train-PyRMSE:1.01120
151s [34]	Train-rmse:0.07080	Train-PyRMSE:1.00132
151s [35]	Train-rmse:0.06830	Train-PyRMSE:0.96591
151s [36]	Train-rmse:0.06769	Train-PyRMSE:0.95733
151s [37]	Train-rmse:0.06484	Train-PyRMSE:0.91694
151s [38]	Train-rmse:0.06165	Train-PyRMSE:0.87181
151s [39]	Train-rmse:0.05937	Train-PyRMSE:0.83965
151s [40]	Train-rmse:0.05873	Train-PyRMSE:0.83051
151s [41]	Train-rmse:0.05667	Train-PyRMSE:0.80140
151s [42]	Train-rmse:0.05596	Train-PyRMSE:0.79141
151s [43]	Train-rmse:0.05416	Train-PyRMSE:0.76589
151s [44]	Train-rmse:0.05299	Train-PyRMSE:0.74934
151s [45]	Train-rmse:0.05052	Train-PyRMSE:0.71453
151s [46]	Train-rmse:0.04922	Train-PyRMSE:0.69609
151s [47]	Train-rmse:0.04883	Train-PyRMSE:0.69062
151s [48]	Train-rmse:0.04610	Train-PyRMSE:0.65199
151s [49]	Train-rmse:0.04417	Train-PyRMSE:0.62469
151s [50]	Train-rmse:0.04190	Train-PyRMSE:0.59254
151s [51]	Train-rmse:0.04114	Train-PyRMSE:0.58181
151s [52]	Train-rmse:0.03957	Train-PyRMSE:0.55954
151s [53]	Train-rmse:0.03922	Train-PyRMSE:0.55469
151s [54]	Train-rmse:0.03852	Train-PyRMSE:0.54478
151s [55]	Train-rmse:0.03717	Train-PyRMSE:0.52562
151s [56]	Train-rmse:0.03584	Train-PyRMSE:0.50680
151s [57]	Train-rmse:0.03429	Train-PyRMSE:0.48498
151s [58]	Train-rmse:0.03400	Train-PyRMSE:0.48083
151s [59]	Train-rmse:0.03295	Train-PyRMSE:0.46597
151s [60]	Train-rmse:0.03237	Train-PyRMSE:0.45775
151s [61]	Train-rmse:0.03091	Train-PyRMSE:0.43707
151s [62]	Train-rmse:0.02998	Train-PyRMSE:0.42399
151s [63]	Train-rmse:0.02849	Train-PyRMSE:0.40286
151s [64]	Train-rmse:0.02729	Train-PyRMSE:0.38595
151s [65]	Train-rmse:0.02692	Train-PyRMSE:0.38069
151s [66]	Train-rmse:0.02618	Train-PyRMSE:0.37018
151s [67]	Train-rmse:0.02588	Train-PyRMSE:0.36600
151s [68]	Train-rmse:0.02491	Train-PyRMSE:0.35229
151s [69]	Train-rmse:0.02428	Train-PyRMSE:0.34344
151s [70]	Train-rmse:0.02398	Train-PyRMSE:0.33907
151s [71]	Train-rmse:0.02309	Train-PyRMSE:0.32650
151s [72]	Train-rmse:0.02219	Train-PyRMSE:0.31381
151s [73]	Train-rmse:0.02094	Train-PyRMSE:0.29616
151s [74]	Train-rmse:0.02079	Train-PyRMSE:0.29398
151s [75]	Train-rmse:0.02028	Train-PyRMSE:0.28685
151s [76]	Train-rmse:0.01931	Train-PyRMSE:0.27311
151s [77]	Train-rmse:0.01919	Train-PyRMSE:0.27140
151s [78]	Train-rmse:0.01862	Train-PyRMSE:0.26336
151s [79]	Train-rmse:0.01743	Train-PyRMSE:0.24652
151s [80]	Train-rmse:0.01699	Train-PyRMSE:0.24033
151s [81]	Train-rmse:0.01644	Train-PyRMSE:0.23256
151s [82]	Train-rmse:0.01565	Train-PyRMSE:0.22127
151s [83]	Train-rmse:0.01526	Train-PyRMSE:0.21582
151s [84]	Train-rmse:0.01503	Train-PyRMSE:0.21258
151s [85]	Train-rmse:0.01450	Train-PyRMSE:0.20508
151s [86]	Train-rmse:0.01410	Train-PyRMSE:0.19936
151s [87]	Train-rmse:0.01349	Train-PyRMSE:0.19080
151s [88]	Train-rmse:0.01288	Train-PyRMSE:0.18211
151s [89]	Train-rmse:0.01278	Train-PyRMSE:0.18071
151s [90]	Train-rmse:0.01220	Train-PyRMSE:0.17252
151s [91]	Train-rmse:0.01179	Train-PyRMSE:0.16679
151s [92]	Train-rmse:0.01166	Train-PyRMSE:0.16490
151s [93]	Train-rmse:0.01132	Train-PyRMSE:0.16008
151s [94]	Train-rmse:0.01088	Train-PyRMSE:0.15388
151s [95]	Train-rmse:0.01060	Train-PyRMSE:0.14993
151s [96]	Train-rmse:0.01006	Train-PyRMSE:0.14229
151s [97]	Train-rmse:0.00998	Train-PyRMSE:0.14109
151s [98]	Train-rmse:0.00954	Train-PyRMSE:0.13496
151s [99]	Train-rmse:0.00948	Train-PyRMSE:0.13406
151s [100]	Train-rmse:0.00926	Train-PyRMSE:0.13098
151s [101]	Train-rmse:0.00901	Train-PyRMSE:0.12747
151s [102]	Train-rmse:0.00885	Train-PyRMSE:0.12510
151s [103]	Train-rmse:0.00847	Train-PyRMSE:0.11979
151s [104]	Train-rmse:0.00833	Train-PyRMSE:0.11784
151s [105]	Train-rmse:0.00791	Train-PyRMSE:0.11187
151s [106]	Train-rmse:0.00787	Train-PyRMSE:0.11125
151s [107]	Train-rmse:0.00755	Train-PyRMSE:0.10682
151s [108]	Train-rmse:0.00724	Train-PyRMSE:0.10245
151s [109]	Train-rmse:0.00705	Train-PyRMSE:0.09976
151s [110]	Train-rmse:0.00683	Train-PyRMSE:0.09662
151s [111]	Train-rmse:0.00656	Train-PyRMSE:0.09274
151s [112]	Train-rmse:0.00641	Train-PyRMSE:0.09058
151s [113]	Train-rmse:0.00631	Train-PyRMSE:0.08921
151s [114]	Train-rmse:0.00606	Train-PyRMSE:0.08569
151s [115]	Train-rmse:0.00583	Train-PyRMSE:0.08241
151s [116]	Train-rmse:0.00578	Train-PyRMSE:0.08175
151s [117]	Train-rmse:0.00562	Train-PyRMSE:0.07946
151s [118]	Train-rmse:0.00553	Train-PyRMSE:0.07818
151s [119]	Train-rmse:0.00533	Train-PyRMSE:0.07539
151s [120]	Train-rmse:0.00514	Train-PyRMSE:0.07262
151s [121]	Train-rmse:0.00510	Train-PyRMSE:0.07211
151s [122]	Train-rmse:0.00501	Train-PyRMSE:0.07088
151s [123]	Train-rmse:0.00489	Train-PyRMSE:0.06912
151s [124]	Train-rmse:0.00475	Train-PyRMSE:0.06722
151s [125]	Train-rmse:0.00473	Train-PyRMSE:0.06690
151s [126]	Train-rmse:0.00467	Train-PyRMSE:0.06603
151s [127]	Train-rmse:0.00443	Train-PyRMSE:0.06259
151s ==========================================
151s Running case predict_first_ntree.py...
152s /usr/lib/python3/dist-packages/xgboost/core.py:726: FutureWarning: Pass `evals` as keyword args.
152s   warnings.warn(msg, FutureWarning)
152s [0]	eval-logloss:0.22646	train-logloss:0.23316
152s [1]	eval-logloss:0.13776	train-logloss:0.13654
152s [2]	eval-logloss:0.08036	train-logloss:0.08243
153s start testing prediction from first n trees
153s error of ypred1=0.042831
153s error of ypred2=0.006207
153s [0]	validation_0-logloss:0.22646
153s [1]	validation_0-logloss:0.13776
153s [2]	validation_0-logloss:0.08036
153s start testing prediction from first n trees
153s error of ypred1=0.042831
153s error of ypred2=0.006207
153s ==========================================
153s Running case predict_leaf_indices.py...
154s /usr/lib/python3/dist-packages/xgboost/core.py:726: FutureWarning: Pass `evals` as keyword args.
154s   warnings.warn(msg, FutureWarning)
154s [0]	eval-logloss:0.22646	train-logloss:0.23316
154s [1]	eval-logloss:0.13776	train-logloss:0.13654
154s [2]	eval-logloss:0.08036	train-logloss:0.08243
154s start testing predict the leaf indices
154s (1611, 2, 1, 1)
154s [[[[5.]]
154s 
154s   [[4.]]]
154s 
154s 
154s  [[[6.]]
154s 
154s   [[4.]]]
154s 
154s 
154s  [[[5.]]
154s 
154s   [[4.]]]
154s 
154s 
154s  ...
154s 
154s 
154s  [[[6.]]
154s 
154s   [[4.]]]
154s 
154s 
154s  [[[4.]]
154s 
154s   [[3.]]]
154s 
154s 
154s  [[[6.]]
154s 
154s   [[4.]]]]
154s (1611, 3)
154s ==========================================
154s Skip case quantile_data_iterator.py...
154s ==========================================
154s Running case quantile_regression.py...
155s [0]	Train-quantile:1.49618	Test-quantile:1.55494
155s [1]	Train-quantile:1.40553	Test-quantile:1.46432
155s [2]	Train-quantile:1.32047	Test-quantile:1.37833
155s [3]	Train-quantile:1.24086	Test-quantile:1.30013
155s [4]	Train-quantile:1.16703	Test-quantile:1.22883
155s [5]	Train-quantile:1.09909	Test-quantile:1.16325
155s [6]	Train-quantile:1.03573	Test-quantile:1.10539
155s [7]	Train-quantile:0.97812	Test-quantile:1.05279
155s [8]	Train-quantile:0.92416	Test-quantile:1.00413
155s [9]	Train-quantile:0.87409	Test-quantile:0.95902
155s [10]	Train-quantile:0.83186	Test-quantile:0.91838
155s [11]	Train-quantile:0.79283	Test-quantile:0.88225
155s [12]	Train-quantile:0.75714	Test-quantile:0.84636
155s [13]	Train-quantile:0.72504	Test-quantile:0.81536
155s [14]	Train-quantile:0.69690	Test-quantile:0.78791
155s [15]	Train-quantile:0.67000	Test-quantile:0.76167
155s [16]	Train-quantile:0.64594	Test-quantile:0.73938
155s [17]	Train-quantile:0.62482	Test-quantile:0.71900
155s [18]	Train-quantile:0.60529	Test-quantile:0.69931
155s [19]	Train-quantile:0.58752	Test-quantile:0.68159
155s [20]	Train-quantile:0.57086	Test-quantile:0.66602
155s [21]	Train-quantile:0.55549	Test-quantile:0.65123
155s [22]	Train-quantile:0.54123	Test-quantile:0.63778
155s [23]	Train-quantile:0.52750	Test-quantile:0.62533
155s [24]	Train-quantile:0.51448	Test-quantile:0.61276
155s [25]	Train-quantile:0.50214	Test-quantile:0.60116
155s [26]	Train-quantile:0.49058	Test-quantile:0.59011
155s [27]	Train-quantile:0.47974	Test-quantile:0.57987
155s [28]	Train-quantile:0.46961	Test-quantile:0.57033
155s [29]	Train-quantile:0.46014	Test-quantile:0.56150
155s [30]	Train-quantile:0.45125	Test-quantile:0.55310
155s [31]	Train-quantile:0.44201	Test-quantile:0.54585
155s [0]	Train-rmse:4.32523	Test-rmse:4.63143
155s [1]	Train-rmse:4.21367	Test-rmse:4.53399
155s [2]	Train-rmse:4.10813	Test-rmse:4.44222
155s [3]	Train-rmse:4.00795	Test-rmse:4.35559
155s [4]	Train-rmse:3.91314	Test-rmse:4.27507
155s [5]	Train-rmse:3.82342	Test-rmse:4.19994
155s [6]	Train-rmse:3.73860	Test-rmse:4.12864
155s [7]	Train-rmse:3.65855	Test-rmse:4.06333
155s [8]	Train-rmse:3.58302	Test-rmse:3.99920
155s [9]	Train-rmse:3.51166	Test-rmse:3.94100
155s [10]	Train-rmse:3.44443	Test-rmse:3.88581
155s [11]	Train-rmse:3.38085	Test-rmse:3.83491
155s [12]	Train-rmse:3.32121	Test-rmse:3.78659
155s [13]	Train-rmse:3.26491	Test-rmse:3.74137
155s [14]	Train-rmse:3.21217	Test-rmse:3.69918
155s [15]	Train-rmse:3.16233	Test-rmse:3.66047
155s [16]	Train-rmse:3.11625	Test-rmse:3.62292
155s [17]	Train-rmse:3.07250	Test-rmse:3.58980
155s [18]	Train-rmse:3.03120	Test-rmse:3.55971
155s [19]	Train-rmse:2.99260	Test-rmse:3.53039
155s [20]	Train-rmse:2.95471	Test-rmse:3.50273
155s [21]	Train-rmse:2.92082	Test-rmse:3.47765
155s [22]	Train-rmse:2.88707	Test-rmse:3.45409
155s [23]	Train-rmse:2.85719	Test-rmse:3.43196
155s [24]	Train-rmse:2.82955	Test-rmse:3.41116
155s [25]	Train-rmse:2.80145	Test-rmse:3.39262
155s [26]	Train-rmse:2.77526	Test-rmse:3.37544
155s [27]	Train-rmse:2.75237	Test-rmse:3.35703
155s [28]	Train-rmse:2.73071	Test-rmse:3.34065
155s [29]	Train-rmse:2.70895	Test-rmse:3.32714
155s [30]	Train-rmse:2.69007	Test-rmse:3.31295
155s [31]	Train-rmse:2.67125	Test-rmse:3.30119
155s ==========================================
155s Running case sklearn_evals_result.py...
156s [0]	validation_0-logloss:0.63169	validation_1-logloss:0.65974
156s [1]	validation_0-logloss:0.58449	validation_1-logloss:0.62161
156s Access logloss metric directly from validation_0:
156s [0.6316909262724221, 0.584487087354064]
156s 
156s Access metrics through a loop:
156s - validation_0
156s    - logloss
156s       - [0.6316909262724221, 0.584487087354064]
156s - validation_1
156s    - logloss
156s       - [0.6597448808699846, 0.621608043089509]
156s 
156s Access complete dict:
156s {'validation_0': OrderedDict({'logloss': [0.6316909262724221, 0.584487087354064]}), 'validation_1': OrderedDict({'logloss': [0.6597448808699846, 0.621608043089509]})}
156s ==========================================
156s Running case sklearn_examples.py...
159s Zeros and Ones from the Digits dataset: binary classification
159s [[87  0]
159s  [ 1 92]]
159s [[91  0]
159s  [ 3 86]]
159s Iris: multiclass classification
159s [[19  0  0]
159s  [ 1 31  2]
159s  [ 0  3 19]]
159s [[31  0  0]
159s  [ 0 16  0]
159s  [ 0  1 27]]
159s California Housing: regression
159s 0.2310805601814026
159s 0.23533764411819863
159s Parameter optimization
159s Fitting 3 folds for each of 4 candidates, totalling 12 fits
159s 0.6838972456687431
159s {'max_depth': 4, 'n_estimators': 100}
159s Pickling sklearn API models
159s True
159s [0]	validation_0-auc:0.99020
159s [1]	validation_0-auc:0.99975
159s [2]	validation_0-auc:0.99975
159s [3]	validation_0-auc:0.99975
159s [4]	validation_0-auc:0.99975
159s [5]	validation_0-auc:0.99975
159s [6]	validation_0-auc:1.00000
159s [7]	validation_0-auc:1.00000
159s [8]	validation_0-auc:1.00000
159s [9]	validation_0-auc:1.00000
159s [10]	validation_0-auc:1.00000
159s [11]	validation_0-auc:1.00000
159s [12]	validation_0-auc:1.00000
159s [13]	validation_0-auc:1.00000
159s [14]	validation_0-auc:1.00000
159s [15]	validation_0-auc:1.00000
159s [16]	validation_0-auc:1.00000
160s ==========================================
160s Running case sklearn_parallel.py...
160s Parallel Parameter optimization
160s Fitting 5 folds for each of 9 candidates, totalling 45 fits
168s 0.688555675183378
168s {'max_depth': 4, 'n_estimators': 50}
168s /tmp/autopkgtest.eAyUA2/wrapper.sh: Killing leaked background processes: 3300 
168s ==========================================
168s Skip case spark_estimator_examples.py...
168s ==========================================
168s Skip case update_process.py...
168s ==========================================
168s All cases passed.
168s     PID TTY      STAT   TIME COMMAND
168s    3300 ?        R      0:00 /usr/bin/python3 -c from joblib.externals.loky.backend.resource_tracker import main; main(3, False)
168s autopkgtest [10:51:05]: test run-demos: -----------------------]
168s run-demos            PASS
168s autopkgtest [10:51:05]: test run-demos:  - - - - - - - - - - results - - - - - - - - - -
168s autopkgtest [10:51:05]: @@@@@@@@@@@@@@@@@@@@ summary
168s run-demos            PASS