0s autopkgtest [20:44:21]: starting date and time: 2025-05-05 20:44:21+0000
  0s autopkgtest [20:44:21]: git checkout: 9986aa8c Merge branch 'skia/fix_network_interface' into 'ubuntu/production'
  0s autopkgtest [20:44:21]: host juju-7f2275-prod-proposed-migration-environment-21; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.t056dlr0/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:matplotlib --apt-upgrade xgboost --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=matplotlib/3.10.1+dfsg1-3 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest-cpu2-ram4-disk20-ppc64el --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-21@sto01-ppc64el-1.secgroup --name adt-questing-ppc64el-xgboost-20250505-204421-juju-7f2275-prod-proposed-migration-environment-21-07c540bd-ff7d-41fe-bb8f-683102b41408 --image adt/ubuntu-questing-ppc64el-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-21 --net-id=net_prod-autopkgtest-workers-ppc64el -e TERM=linux --mirror=http://ftpmaster.internal/ubuntu/
 60s autopkgtest [20:45:21]: testbed dpkg architecture: ppc64el
 60s autopkgtest [20:45:21]: testbed apt version: 3.0.0
 60s autopkgtest [20:45:21]: @@@@@@@@@@@@@@@@@@@@ test bed setup
 60s autopkgtest [20:45:21]: testbed release detected to be: None
 61s autopkgtest [20:45:22]: updating testbed package index (apt update)
 61s Get:1 http://ftpmaster.internal/ubuntu questing-proposed InRelease [110 kB]
 61s Hit:2 http://ftpmaster.internal/ubuntu questing InRelease
 61s Hit:3 http://ftpmaster.internal/ubuntu questing-updates InRelease
 61s Hit:4 http://ftpmaster.internal/ubuntu questing-security InRelease
 61s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/main Sources [84.4 kB]
 61s Get:6 http://ftpmaster.internal/ubuntu questing-proposed/universe Sources [790 kB]
 61s Get:7 http://ftpmaster.internal/ubuntu questing-proposed/multiverse Sources [29.9 kB]
 61s Get:8 http://ftpmaster.internal/ubuntu questing-proposed/main ppc64el Packages [120 kB]
 61s Get:9 http://ftpmaster.internal/ubuntu questing-proposed/universe ppc64el Packages [807 kB]
 62s Get:10 http://ftpmaster.internal/ubuntu questing-proposed/multiverse ppc64el Packages [20.0 kB]
 62s Fetched 1961 kB in 1s (2922 kB/s)
 63s Reading package lists...
 63s autopkgtest [20:45:24]: upgrading testbed (apt dist-upgrade and autopurge)
 63s Reading package lists...
 63s Building dependency tree...
 63s Reading state information...
 64s Calculating upgrade...Starting pkgProblemResolver with broken count: 0
 64s Starting 2 pkgProblemResolver with broken count: 0
 64s Done
 64s Entering ResolveByKeep
 64s 
 64s Calculating upgrade...
 64s The following packages will be upgraded:
 64s   dhcpcd-base diffutils dirmngr gettext-base gnupg gnupg-l10n gnupg-utils gpg
 64s   gpg-agent gpg-wks-client gpgconf gpgsm gpgv groff-base keyboxd
 64s   libgpg-error-l10n libgpg-error0 libnuma1 libperl5.40 libselinux1 libx11-6
 64s   libx11-data netbase numactl perl perl-base perl-modules-5.40 python3-attr
 64s   python3-packaging python3-wadllib
 64s 30 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 64s Need to get 16.0 MB of archives.
 64s After this operation, 8192 B of additional disk space will be used.
 64s Get:1 http://ftpmaster.internal/ubuntu questing/main ppc64el diffutils ppc64el 1:3.10-4 [206 kB]
 64s Get:2 http://ftpmaster.internal/ubuntu questing-proposed/main ppc64el libperl5.40 ppc64el 5.40.1-3 [4949 kB]
 65s Get:3 http://ftpmaster.internal/ubuntu questing-proposed/main ppc64el perl ppc64el 5.40.1-3 [262 kB]
 65s Get:4 http://ftpmaster.internal/ubuntu questing-proposed/main ppc64el perl-base ppc64el 5.40.1-3 [1923 kB]
 65s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/main ppc64el perl-modules-5.40 all 5.40.1-3 [3217 kB]
 65s Get:6 http://ftpmaster.internal/ubuntu questing/main ppc64el libselinux1 ppc64el 3.8.1-1 [110 kB]
 65s Get:7 http://ftpmaster.internal/ubuntu questing/main ppc64el libgpg-error-l10n all 1.51-4 [8880 B]
 65s Get:8 http://ftpmaster.internal/ubuntu questing/main ppc64el libgpg-error0 ppc64el 1.51-4 [95.1 kB]
 65s Get:9 http://ftpmaster.internal/ubuntu questing/main ppc64el gpg-wks-client ppc64el 2.4.4-2ubuntu24 [84.3 kB]
 65s Get:10 http://ftpmaster.internal/ubuntu questing/main ppc64el dirmngr ppc64el 2.4.4-2ubuntu24 [390 kB]
 65s Get:11 http://ftpmaster.internal/ubuntu questing/main ppc64el gpgsm ppc64el 2.4.4-2ubuntu24 [292 kB]
 65s Get:12 http://ftpmaster.internal/ubuntu questing/main ppc64el gnupg-utils ppc64el 2.4.4-2ubuntu24 [123 kB]
 65s Get:13 http://ftpmaster.internal/ubuntu questing/main ppc64el gpg-agent ppc64el 2.4.4-2ubuntu24 [275 kB]
 65s Get:14 http://ftpmaster.internal/ubuntu questing/main ppc64el gpg ppc64el 2.4.4-2ubuntu24 [707 kB]
 65s Get:15 http://ftpmaster.internal/ubuntu questing/main ppc64el gpgconf ppc64el 2.4.4-2ubuntu24 [115 kB]
 65s Get:16 http://ftpmaster.internal/ubuntu questing/main ppc64el gnupg all 2.4.4-2ubuntu24 [359 kB]
 65s Get:17 http://ftpmaster.internal/ubuntu questing/main ppc64el keyboxd ppc64el 2.4.4-2ubuntu24 [93.1 kB]
 65s Get:18 http://ftpmaster.internal/ubuntu questing/main ppc64el gpgv ppc64el 2.4.4-2ubuntu24 [197 kB]
 65s Get:19 http://ftpmaster.internal/ubuntu questing/main ppc64el dhcpcd-base ppc64el 1:10.1.0-10 [280 kB]
 65s Get:20 http://ftpmaster.internal/ubuntu questing/main ppc64el netbase all 6.5 [12.9 kB]
 65s Get:21 http://ftpmaster.internal/ubuntu questing/main ppc64el gettext-base ppc64el 0.23.1-2 [43.9 kB]
 65s Get:22 http://ftpmaster.internal/ubuntu questing/main ppc64el groff-base ppc64el 1.23.0-8 [1110 kB]
 65s Get:23 http://ftpmaster.internal/ubuntu questing/main ppc64el libnuma1 ppc64el 2.0.19-1 [27.9 kB]
 65s Get:24 http://ftpmaster.internal/ubuntu questing/main ppc64el libx11-data all 2:1.8.12-1 [116 kB]
 65s Get:25 http://ftpmaster.internal/ubuntu questing/main ppc64el libx11-6 ppc64el 2:1.8.12-1 [739 kB]
 65s Get:26 http://ftpmaster.internal/ubuntu questing/main ppc64el numactl ppc64el 2.0.19-1 [43.2 kB]
 65s Get:27 http://ftpmaster.internal/ubuntu questing/main ppc64el gnupg-l10n all 2.4.4-2ubuntu24 [66.8 kB]
 65s Get:28 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-attr all 25.3.0-1 [50.9 kB]
 65s Get:29 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-packaging all 25.0-1 [52.8 kB]
 65s Get:30 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-wadllib all 2.0.0-3 [36.3 kB]
 65s Fetched 16.0 MB in 1s (26.8 MB/s)
 66s (Reading database ... 
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(Reading database ... 100%
(Reading database ... 78710 files and directories currently installed.)
 66s Preparing to unpack .../diffutils_1%3a3.10-4_ppc64el.deb ...
 66s Unpacking diffutils (1:3.10-4) over (1:3.10-3) ...
 66s Setting up diffutils (1:3.10-4) ...
 66s (Reading database ... 
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(Reading database ... 78710 files and directories currently installed.)
 66s Preparing to unpack .../libperl5.40_5.40.1-3_ppc64el.deb ...
 66s Unpacking libperl5.40:ppc64el (5.40.1-3) over (5.40.1-2ubuntu0.1) ...
 66s Preparing to unpack .../perl_5.40.1-3_ppc64el.deb ...
 66s Unpacking perl (5.40.1-3) over (5.40.1-2ubuntu0.1) ...
 66s Preparing to unpack .../perl-base_5.40.1-3_ppc64el.deb ...
 66s Unpacking perl-base (5.40.1-3) over (5.40.1-2ubuntu0.1) ...
 67s Setting up perl-base (5.40.1-3) ...
 67s (Reading database ... 
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(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 78710 files and directories currently installed.)
 67s Preparing to unpack .../perl-modules-5.40_5.40.1-3_all.deb ...
 67s Unpacking perl-modules-5.40 (5.40.1-3) over (5.40.1-2ubuntu0.1) ...
 67s Preparing to unpack .../libselinux1_3.8.1-1_ppc64el.deb ...
 67s Unpacking libselinux1:ppc64el (3.8.1-1) over (3.7-3ubuntu3) ...
 67s Setting up libselinux1:ppc64el (3.8.1-1) ...
 67s (Reading database ... 
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(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 78710 files and directories currently installed.)
 67s Preparing to unpack .../libgpg-error-l10n_1.51-4_all.deb ...
 67s Unpacking libgpg-error-l10n (1.51-4) over (1.51-3) ...
 67s Preparing to unpack .../libgpg-error0_1.51-4_ppc64el.deb ...
 67s Unpacking libgpg-error0:ppc64el (1.51-4) over (1.51-3) ...
 67s Setting up libgpg-error0:ppc64el (1.51-4) ...
 67s (Reading database ... 
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(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 78710 files and directories currently installed.)
 67s Preparing to unpack .../0-gpg-wks-client_2.4.4-2ubuntu24_ppc64el.deb ...
 67s Unpacking gpg-wks-client (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 67s Preparing to unpack .../1-dirmngr_2.4.4-2ubuntu24_ppc64el.deb ...
 67s Unpacking dirmngr (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 67s Preparing to unpack .../2-gpgsm_2.4.4-2ubuntu24_ppc64el.deb ...
 67s Unpacking gpgsm (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 67s Preparing to unpack .../3-gnupg-utils_2.4.4-2ubuntu24_ppc64el.deb ...
 67s Unpacking gnupg-utils (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 67s Preparing to unpack .../4-gpg-agent_2.4.4-2ubuntu24_ppc64el.deb ...
 67s Unpacking gpg-agent (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 67s Preparing to unpack .../5-gpg_2.4.4-2ubuntu24_ppc64el.deb ...
 67s Unpacking gpg (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 68s Preparing to unpack .../6-gpgconf_2.4.4-2ubuntu24_ppc64el.deb ...
 68s Unpacking gpgconf (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 68s Preparing to unpack .../7-gnupg_2.4.4-2ubuntu24_all.deb ...
 68s Unpacking gnupg (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 68s Preparing to unpack .../8-keyboxd_2.4.4-2ubuntu24_ppc64el.deb ...
 68s Unpacking keyboxd (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 68s Preparing to unpack .../9-gpgv_2.4.4-2ubuntu24_ppc64el.deb ...
 68s Unpacking gpgv (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 68s Setting up gpgv (2.4.4-2ubuntu24) ...
 68s (Reading database ... 
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(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 78710 files and directories currently installed.)
 68s Preparing to unpack .../00-dhcpcd-base_1%3a10.1.0-10_ppc64el.deb ...
 68s Unpacking dhcpcd-base (1:10.1.0-10) over (1:10.1.0-8) ...
 68s Preparing to unpack .../01-netbase_6.5_all.deb ...
 68s Unpacking netbase (6.5) over (6.4) ...
 68s Preparing to unpack .../02-gettext-base_0.23.1-2_ppc64el.deb ...
 68s Unpacking gettext-base (0.23.1-2) over (0.23.1-1) ...
 68s Preparing to unpack .../03-groff-base_1.23.0-8_ppc64el.deb ...
 68s Unpacking groff-base (1.23.0-8) over (1.23.0-7) ...
 68s Preparing to unpack .../04-libnuma1_2.0.19-1_ppc64el.deb ...
 68s Unpacking libnuma1:ppc64el (2.0.19-1) over (2.0.18-1build1) ...
 68s Preparing to unpack .../05-libx11-data_2%3a1.8.12-1_all.deb ...
 68s Unpacking libx11-data (2:1.8.12-1) over (2:1.8.10-2) ...
 68s Preparing to unpack .../06-libx11-6_2%3a1.8.12-1_ppc64el.deb ...
 68s Unpacking libx11-6:ppc64el (2:1.8.12-1) over (2:1.8.10-2) ...
 68s Preparing to unpack .../07-numactl_2.0.19-1_ppc64el.deb ...
 68s Unpacking numactl (2.0.19-1) over (2.0.18-1build1) ...
 68s Preparing to unpack .../08-gnupg-l10n_2.4.4-2ubuntu24_all.deb ...
 68s Unpacking gnupg-l10n (2.4.4-2ubuntu24) over (2.4.4-2ubuntu23) ...
 68s Preparing to unpack .../09-python3-attr_25.3.0-1_all.deb ...
 68s Unpacking python3-attr (25.3.0-1) over (25.1.0-1) ...
 68s Preparing to unpack .../10-python3-packaging_25.0-1_all.deb ...
 68s Unpacking python3-packaging (25.0-1) over (24.2-1) ...
 68s Preparing to unpack .../11-python3-wadllib_2.0.0-3_all.deb ...
 68s Unpacking python3-wadllib (2.0.0-3) over (2.0.0-2) ...
 68s Setting up python3-attr (25.3.0-1) ...
 68s Setting up gettext-base (0.23.1-2) ...
 68s Setting up python3-packaging (25.0-1) ...
 69s Setting up libx11-data (2:1.8.12-1) ...
 69s Setting up gnupg-l10n (2.4.4-2ubuntu24) ...
 69s Setting up python3-wadllib (2.0.0-3) ...
 69s Setting up dhcpcd-base (1:10.1.0-10) ...
 69s Installing new version of config file /etc/dhcpcd.conf ...
 69s Setting up libnuma1:ppc64el (2.0.19-1) ...
 69s Setting up perl-modules-5.40 (5.40.1-3) ...
 69s Setting up groff-base (1.23.0-8) ...
 69s Setting up gpgconf (2.4.4-2ubuntu24) ...
 69s Setting up libx11-6:ppc64el (2:1.8.12-1) ...
 69s Setting up netbase (6.5) ...
 69s Installing new version of config file /etc/ethertypes ...
 69s Installing new version of config file /etc/services ...
 69s Setting up libgpg-error-l10n (1.51-4) ...
 69s Setting up gpg (2.4.4-2ubuntu24) ...
 69s Setting up gnupg-utils (2.4.4-2ubuntu24) ...
 69s Setting up gpg-agent (2.4.4-2ubuntu24) ...
 69s Setting up numactl (2.0.19-1) ...
 69s Setting up gpgsm (2.4.4-2ubuntu24) ...
 69s Setting up libperl5.40:ppc64el (5.40.1-3) ...
 69s Setting up dirmngr (2.4.4-2ubuntu24) ...
 69s Setting up perl (5.40.1-3) ...
 69s Setting up keyboxd (2.4.4-2ubuntu24) ...
 70s Setting up gnupg (2.4.4-2ubuntu24) ...
 70s Setting up gpg-wks-client (2.4.4-2ubuntu24) ...
 70s Processing triggers for man-db (2.13.1-1) ...
 71s Processing triggers for install-info (7.1.1-1) ...
 71s Processing triggers for libc-bin (2.41-6ubuntu1) ...
 71s Reading package lists...
 72s Building dependency tree...
 72s Reading state information...
 72s Starting pkgProblemResolver with broken count: 0
 72s Starting 2 pkgProblemResolver with broken count: 0
 72s Done
 72s Solving dependencies...
 72s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 74s autopkgtest [20:45:35]: testbed running kernel: Linux 6.14.0-15-generic #15-Ubuntu SMP Sun Apr  6 14:52:42 UTC 2025
 75s autopkgtest [20:45:36]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost
 77s Get:1 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (dsc) [2340 B]
 77s Get:2 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (tar) [2138 kB]
 77s Get:3 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (diff) [23.2 kB]
 77s gpgv: Signature made Wed Mar  5 01:20:21 2025 UTC
 77s gpgv:                using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2
 77s gpgv: Can't check signature: No public key
 77s dpkg-source: warning: cannot verify inline signature for ./xgboost_2.1.4-1build1.dsc: no acceptable signature found
 77s autopkgtest [20:45:38]: testing package xgboost version 2.1.4-1build1
 77s autopkgtest [20:45:38]: build not needed
 78s autopkgtest [20:45:39]: test run-demos: preparing testbed
 78s Reading package lists...
 78s Building dependency tree...
 78s Reading state information...
 79s Starting pkgProblemResolver with broken count: 0
 79s Starting 2 pkgProblemResolver with broken count: 0
 79s Done
 79s The following NEW packages will be installed:
 79s   blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3
 79s   libdeflate0 libdmlc0t64 libfontconfig1 libgfortran5 libgomp1 libgraphite2-3
 79s   libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery
 79s   libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libopenjp2-7
 79s   libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7
 79s   libwebpdemux2 libwebpmux3 libxft2 libxgboost-dev libxgboost0 libxrender1
 79s   libxslt1.1 libxss1 python-matplotlib-data python3-brotli python3-contourpy
 79s   python3-cycler python3-decorator python3-fonttools python3-fs python3-joblib
 79s   python3-kiwisolver python3-lxml python3-lz4 python3-matplotlib
 79s   python3-mpmath python3-numpy python3-numpy-dev python3-pandas
 79s   python3-pandas-lib python3-pil python3-pil.imagetk python3-platformdirs
 79s   python3-pytz python3-scipy python3-sklearn python3-sklearn-lib python3-sympy
 79s   python3-threadpoolctl python3-tk python3-tz python3-ufolib2
 79s   python3-unicodedata2 python3-xgboost python3.13-tk tk8.6-blt2.5 unicode-data
 79s   x11-common
 79s 0 upgraded, 74 newly installed, 0 to remove and 0 not upgraded.
 79s Need to get 93.6 MB of archives.
 79s After this operation, 414 MB of additional disk space will be used.
 79s Get:1 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-numpy-dev ppc64el 1:2.2.4+ds-1 [154 kB]
 79s Get:2 http://ftpmaster.internal/ubuntu questing/main ppc64el libblas3 ppc64el 3.12.1-2 [239 kB]
 79s Get:3 http://ftpmaster.internal/ubuntu questing/main ppc64el libgfortran5 ppc64el 15-20250404-0ubuntu1 [615 kB]
 79s Get:4 http://ftpmaster.internal/ubuntu questing/main ppc64el liblapack3 ppc64el 3.12.1-2 [2813 kB]
 79s Get:5 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-numpy ppc64el 1:2.2.4+ds-1 [4853 kB]
 79s Get:6 http://ftpmaster.internal/ubuntu questing/main ppc64el libtcl8.6 ppc64el 8.6.16+dfsg-1 [1201 kB]
 79s Get:7 http://ftpmaster.internal/ubuntu questing/main ppc64el fonts-dejavu-mono all 2.37-8 [502 kB]
 79s Get:8 http://ftpmaster.internal/ubuntu questing/main ppc64el fonts-dejavu-core all 2.37-8 [835 kB]
 79s Get:9 http://ftpmaster.internal/ubuntu questing/main ppc64el fontconfig-config ppc64el 2.15.0-2.2ubuntu1 [37.9 kB]
 79s Get:10 http://ftpmaster.internal/ubuntu questing/main ppc64el libfontconfig1 ppc64el 2.15.0-2.2ubuntu1 [187 kB]
 79s Get:11 http://ftpmaster.internal/ubuntu questing/main ppc64el libxrender1 ppc64el 1:0.9.12-1 [23.0 kB]
 79s Get:12 http://ftpmaster.internal/ubuntu questing/main ppc64el libxft2 ppc64el 2.3.6-1build1 [61.5 kB]
 79s Get:13 http://ftpmaster.internal/ubuntu questing/main ppc64el x11-common all 1:7.7+23ubuntu4 [21.8 kB]
 79s Get:14 http://ftpmaster.internal/ubuntu questing/main ppc64el libxss1 ppc64el 1:1.2.3-1build3 [7980 B]
 79s Get:15 http://ftpmaster.internal/ubuntu questing/main ppc64el libtk8.6 ppc64el 8.6.16-1 [946 kB]
 79s Get:16 http://ftpmaster.internal/ubuntu questing/main ppc64el tk8.6-blt2.5 ppc64el 2.5.3+dfsg-8 [778 kB]
 79s Get:17 http://ftpmaster.internal/ubuntu questing/main ppc64el blt ppc64el 2.5.3+dfsg-8 [4830 B]
 79s Get:18 http://ftpmaster.internal/ubuntu questing/universe ppc64el fonts-lyx all 2.4.3-1 [171 kB]
 79s Get:19 http://ftpmaster.internal/ubuntu questing/main ppc64el libdeflate0 ppc64el 1.23-2 [63.3 kB]
 79s Get:20 http://ftpmaster.internal/ubuntu questing/main ppc64el libgomp1 ppc64el 15-20250404-0ubuntu1 [168 kB]
 79s Get:21 http://ftpmaster.internal/ubuntu questing/universe ppc64el libdmlc0t64 ppc64el 0.5+git20240614.1334185-1 [194 kB]
 79s Get:22 http://ftpmaster.internal/ubuntu questing/main ppc64el libgraphite2-3 ppc64el 1.3.14-2ubuntu1 [84.6 kB]
 79s Get:23 http://ftpmaster.internal/ubuntu questing/main ppc64el libharfbuzz0b ppc64el 10.2.0-1 [598 kB]
 79s Get:24 http://ftpmaster.internal/ubuntu questing/main ppc64el libimagequant0 ppc64el 2.18.0-1build1 [43.2 kB]
 79s Get:25 http://ftpmaster.internal/ubuntu questing/main ppc64el libjpeg-turbo8 ppc64el 2.1.5-3ubuntu2 [215 kB]
 79s Get:26 http://ftpmaster.internal/ubuntu questing/main ppc64el libjpeg8 ppc64el 8c-2ubuntu11 [2148 B]
 79s Get:27 http://ftpmaster.internal/ubuntu questing/main ppc64el libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB]
 79s Get:28 http://ftpmaster.internal/ubuntu questing/universe ppc64el libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB]
 79s Get:29 http://ftpmaster.internal/ubuntu questing/universe ppc64el liblbfgsb0 ppc64el 3.0+dfsg.4-1build1 [33.0 kB]
 79s Get:30 http://ftpmaster.internal/ubuntu questing/main ppc64el liblcms2-2 ppc64el 2.16-2 [243 kB]
 79s Get:31 http://ftpmaster.internal/ubuntu questing/main ppc64el liblerc4 ppc64el 4.0.0+ds-5ubuntu1 [298 kB]
 79s Get:32 http://ftpmaster.internal/ubuntu questing/universe ppc64el libqhull-r8.0 ppc64el 2020.2-6build1 [225 kB]
 79s Get:33 http://ftpmaster.internal/ubuntu questing/main ppc64el libraqm0 ppc64el 0.10.2-1 [19.2 kB]
 79s Get:34 http://ftpmaster.internal/ubuntu questing/main ppc64el libsharpyuv0 ppc64el 1.5.0-0.1 [22.3 kB]
 79s Get:35 http://ftpmaster.internal/ubuntu questing/main ppc64el libjbig0 ppc64el 2.1-6.1ubuntu2 [35.9 kB]
 79s Get:36 http://ftpmaster.internal/ubuntu questing/main ppc64el libwebp7 ppc64el 1.5.0-0.1 [315 kB]
 79s Get:37 http://ftpmaster.internal/ubuntu questing/main ppc64el libtiff6 ppc64el 4.7.0-3ubuntu1 [283 kB]
 79s Get:38 http://ftpmaster.internal/ubuntu questing/main ppc64el libwebpdemux2 ppc64el 1.5.0-0.1 [14.6 kB]
 79s Get:39 http://ftpmaster.internal/ubuntu questing/main ppc64el libwebpmux3 ppc64el 1.5.0-0.1 [31.1 kB]
 79s Get:40 http://ftpmaster.internal/ubuntu questing/universe ppc64el libxgboost0 ppc64el 2.1.4-1build1 [2439 kB]
 79s Get:41 http://ftpmaster.internal/ubuntu questing/universe ppc64el libxgboost-dev ppc64el 2.1.4-1build1 [74.3 kB]
 79s Get:42 http://ftpmaster.internal/ubuntu questing/main ppc64el libxslt1.1 ppc64el 1.1.39-0exp1ubuntu4 [191 kB]
 79s Get:43 http://ftpmaster.internal/ubuntu questing-proposed/universe ppc64el python-matplotlib-data all 3.10.1+dfsg1-3 [2936 kB]
 80s Get:44 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-brotli ppc64el 1.1.0-2build4 [422 kB]
 80s Get:45 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-contourpy ppc64el 1.3.1-1build1 [218 kB]
 80s Get:46 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-cycler all 0.12.1-1 [9716 B]
 80s Get:47 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-decorator all 5.2.1-2 [28.1 kB]
 80s Get:48 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-platformdirs all 4.3.7-1 [16.9 kB]
 80s Get:49 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-fs all 2.4.16-7 [90.8 kB]
 80s Get:50 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-lxml ppc64el 5.4.0-1 [1392 kB]
 80s Get:51 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-lz4 ppc64el 4.4.0+dfsg-2 [28.1 kB]
 80s Get:52 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-scipy ppc64el 1.14.1-4ubuntu2 [19.4 MB]
 80s Get:53 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-mpmath all 1.3.0-1 [425 kB]
 80s Get:54 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-sympy all 1.13.3-5 [4229 kB]
 80s Get:55 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-ufolib2 all 0.17.1+dfsg1-1 [33.5 kB]
 80s Get:56 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-unicodedata2 ppc64el 15.1.0+ds-1build3 [361 kB]
 80s Get:57 http://ftpmaster.internal/ubuntu questing/universe ppc64el unicode-data all 15.1.0-1 [8878 kB]
 80s Get:58 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-fonttools ppc64el 4.55.3-2build1 [1521 kB]
 80s Get:59 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-joblib all 1.4.2-3 [205 kB]
 80s Get:60 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-kiwisolver ppc64el 1.4.7-3build1 [59.5 kB]
 80s Get:61 http://ftpmaster.internal/ubuntu questing/main ppc64el libopenjp2-7 ppc64el 2.5.3-2 [248 kB]
 80s Get:62 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-pil ppc64el 11.1.0-5build1 [601 kB]
 80s Get:63 http://ftpmaster.internal/ubuntu questing/main ppc64el python3.13-tk ppc64el 3.13.3-1 [107 kB]
 80s Get:64 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-tk ppc64el 3.13.3-1 [9854 B]
 80s Get:65 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-pil.imagetk ppc64el 11.1.0-5build1 [10.3 kB]
 80s Get:66 http://ftpmaster.internal/ubuntu questing-proposed/universe ppc64el python3-matplotlib ppc64el 3.10.1+dfsg1-3 [18.1 MB]
 80s Get:67 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-pytz all 2025.1-3 [162 kB]
 80s Get:68 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-tz all 2025.1-3 [1866 B]
 80s Get:69 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-pandas-lib ppc64el 2.2.3+dfsg-8build1 [4871 kB]
 81s Get:70 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-pandas all 2.2.3+dfsg-8build1 [3112 kB]
 81s Get:71 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-threadpoolctl all 3.1.0-1 [21.3 kB]
 81s Get:72 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-sklearn-lib ppc64el 1.4.2+dfsg-8 [4129 kB]
 81s Get:73 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-sklearn all 1.4.2+dfsg-8 [2258 kB]
 81s Get:74 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-xgboost ppc64el 2.1.4-1build1 [119 kB]
 81s Fetched 93.6 MB in 2s (50.3 MB/s)
 81s Selecting previously unselected package python3-numpy-dev:ppc64el.
 81s (Reading database ... 
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 81s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.4+ds-1_ppc64el.deb ...
 81s Unpacking python3-numpy-dev:ppc64el (1:2.2.4+ds-1) ...
 81s Selecting previously unselected package libblas3:ppc64el.
 81s Preparing to unpack .../01-libblas3_3.12.1-2_ppc64el.deb ...
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 81s Selecting previously unselected package libgfortran5:ppc64el.
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 81s Selecting previously unselected package liblapack3:ppc64el.
 81s Preparing to unpack .../03-liblapack3_3.12.1-2_ppc64el.deb ...
 81s Unpacking liblapack3:ppc64el (3.12.1-2) ...
 81s Selecting previously unselected package python3-numpy.
 81s Preparing to unpack .../04-python3-numpy_1%3a2.2.4+ds-1_ppc64el.deb ...
 81s Unpacking python3-numpy (1:2.2.4+ds-1) ...
 81s Selecting previously unselected package libtcl8.6:ppc64el.
 81s Preparing to unpack .../05-libtcl8.6_8.6.16+dfsg-1_ppc64el.deb ...
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 81s Selecting previously unselected package fonts-dejavu-mono.
 81s Preparing to unpack .../06-fonts-dejavu-mono_2.37-8_all.deb ...
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 81s Selecting previously unselected package fonts-dejavu-core.
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 82s Selecting previously unselected package fontconfig-config.
 82s Preparing to unpack .../08-fontconfig-config_2.15.0-2.2ubuntu1_ppc64el.deb ...
 82s Unpacking fontconfig-config (2.15.0-2.2ubuntu1) ...
 82s Selecting previously unselected package libfontconfig1:ppc64el.
 82s Preparing to unpack .../09-libfontconfig1_2.15.0-2.2ubuntu1_ppc64el.deb ...
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 82s Selecting previously unselected package libxrender1:ppc64el.
 82s Preparing to unpack .../10-libxrender1_1%3a0.9.12-1_ppc64el.deb ...
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 82s Selecting previously unselected package libxft2:ppc64el.
 82s Preparing to unpack .../11-libxft2_2.3.6-1build1_ppc64el.deb ...
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 82s Selecting previously unselected package x11-common.
 82s Preparing to unpack .../12-x11-common_1%3a7.7+23ubuntu4_all.deb ...
 82s Unpacking x11-common (1:7.7+23ubuntu4) ...
 82s Selecting previously unselected package libxss1:ppc64el.
 82s Preparing to unpack .../13-libxss1_1%3a1.2.3-1build3_ppc64el.deb ...
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 82s Selecting previously unselected package libtk8.6:ppc64el.
 82s Preparing to unpack .../14-libtk8.6_8.6.16-1_ppc64el.deb ...
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 82s Selecting previously unselected package tk8.6-blt2.5.
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 82s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-8) ...
 82s Selecting previously unselected package blt.
 82s Preparing to unpack .../16-blt_2.5.3+dfsg-8_ppc64el.deb ...
 82s Unpacking blt (2.5.3+dfsg-8) ...
 82s Selecting previously unselected package fonts-lyx.
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 82s Selecting previously unselected package libdeflate0:ppc64el.
 82s Preparing to unpack .../18-libdeflate0_1.23-2_ppc64el.deb ...
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 82s Selecting previously unselected package libgomp1:ppc64el.
 82s Preparing to unpack .../19-libgomp1_15-20250404-0ubuntu1_ppc64el.deb ...
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 82s Selecting previously unselected package libdmlc0t64:ppc64el.
 82s Preparing to unpack .../20-libdmlc0t64_0.5+git20240614.1334185-1_ppc64el.deb ...
 82s Unpacking libdmlc0t64:ppc64el (0.5+git20240614.1334185-1) ...
 82s Selecting previously unselected package libgraphite2-3:ppc64el.
 82s Preparing to unpack .../21-libgraphite2-3_1.3.14-2ubuntu1_ppc64el.deb ...
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 82s Selecting previously unselected package libharfbuzz0b:ppc64el.
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 82s Selecting previously unselected package libimagequant0:ppc64el.
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 82s Selecting previously unselected package libjpeg-turbo8:ppc64el.
 82s Preparing to unpack .../24-libjpeg-turbo8_2.1.5-3ubuntu2_ppc64el.deb ...
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 82s Selecting previously unselected package libjpeg8:ppc64el.
 82s Preparing to unpack .../25-libjpeg8_8c-2ubuntu11_ppc64el.deb ...
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 82s Selecting previously unselected package libjs-jquery.
 82s Preparing to unpack .../26-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ...
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 82s Selecting previously unselected package libjs-jquery-ui.
 82s Preparing to unpack .../27-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ...
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 82s Selecting previously unselected package liblbfgsb0:ppc64el.
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 82s Selecting previously unselected package liblcms2-2:ppc64el.
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 82s Selecting previously unselected package liblerc4:ppc64el.
 82s Preparing to unpack .../30-liblerc4_4.0.0+ds-5ubuntu1_ppc64el.deb ...
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 82s Selecting previously unselected package libqhull-r8.0:ppc64el.
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 82s Selecting previously unselected package libraqm0:ppc64el.
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 82s Selecting previously unselected package libsharpyuv0:ppc64el.
 82s Preparing to unpack .../33-libsharpyuv0_1.5.0-0.1_ppc64el.deb ...
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 82s Selecting previously unselected package libjbig0:ppc64el.
 82s Preparing to unpack .../34-libjbig0_2.1-6.1ubuntu2_ppc64el.deb ...
 82s Unpacking libjbig0:ppc64el (2.1-6.1ubuntu2) ...
 82s Selecting previously unselected package libwebp7:ppc64el.
 82s Preparing to unpack .../35-libwebp7_1.5.0-0.1_ppc64el.deb ...
 82s Unpacking libwebp7:ppc64el (1.5.0-0.1) ...
 82s Selecting previously unselected package libtiff6:ppc64el.
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 82s Selecting previously unselected package libwebpdemux2:ppc64el.
 82s Preparing to unpack .../37-libwebpdemux2_1.5.0-0.1_ppc64el.deb ...
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 82s Selecting previously unselected package libwebpmux3:ppc64el.
 82s Preparing to unpack .../38-libwebpmux3_1.5.0-0.1_ppc64el.deb ...
 82s Unpacking libwebpmux3:ppc64el (1.5.0-0.1) ...
 82s Selecting previously unselected package libxgboost0.
 82s Preparing to unpack .../39-libxgboost0_2.1.4-1build1_ppc64el.deb ...
 82s Unpacking libxgboost0 (2.1.4-1build1) ...
 82s Selecting previously unselected package libxgboost-dev.
 82s Preparing to unpack .../40-libxgboost-dev_2.1.4-1build1_ppc64el.deb ...
 82s Unpacking libxgboost-dev (2.1.4-1build1) ...
 82s Selecting previously unselected package libxslt1.1:ppc64el.
 82s Preparing to unpack .../41-libxslt1.1_1.1.39-0exp1ubuntu4_ppc64el.deb ...
 82s Unpacking libxslt1.1:ppc64el (1.1.39-0exp1ubuntu4) ...
 82s Selecting previously unselected package python-matplotlib-data.
 82s Preparing to unpack .../42-python-matplotlib-data_3.10.1+dfsg1-3_all.deb ...
 82s Unpacking python-matplotlib-data (3.10.1+dfsg1-3) ...
 82s Selecting previously unselected package python3-brotli.
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 82s Unpacking python3-brotli (1.1.0-2build4) ...
 82s Selecting previously unselected package python3-contourpy.
 82s Preparing to unpack .../44-python3-contourpy_1.3.1-1build1_ppc64el.deb ...
 82s Unpacking python3-contourpy (1.3.1-1build1) ...
 83s Selecting previously unselected package python3-cycler.
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 83s Unpacking python3-cycler (0.12.1-1) ...
 83s Selecting previously unselected package python3-decorator.
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 83s Unpacking python3-decorator (5.2.1-2) ...
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 83s Unpacking python3-platformdirs (4.3.7-1) ...
 83s Selecting previously unselected package python3-fs.
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 83s Selecting previously unselected package python3-lz4.
 83s Preparing to unpack .../50-python3-lz4_4.4.0+dfsg-2_ppc64el.deb ...
 83s Unpacking python3-lz4 (4.4.0+dfsg-2) ...
 83s Selecting previously unselected package python3-scipy.
 83s Preparing to unpack .../51-python3-scipy_1.14.1-4ubuntu2_ppc64el.deb ...
 83s Unpacking python3-scipy (1.14.1-4ubuntu2) ...
 83s Selecting previously unselected package python3-mpmath.
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 83s Unpacking python3-mpmath (1.3.0-1) ...
 83s Selecting previously unselected package python3-sympy.
 83s Preparing to unpack .../53-python3-sympy_1.13.3-5_all.deb ...
 83s Unpacking python3-sympy (1.13.3-5) ...
 83s Selecting previously unselected package python3-ufolib2.
 83s Preparing to unpack .../54-python3-ufolib2_0.17.1+dfsg1-1_all.deb ...
 83s Unpacking python3-ufolib2 (0.17.1+dfsg1-1) ...
 83s Selecting previously unselected package python3-unicodedata2.
 83s Preparing to unpack .../55-python3-unicodedata2_15.1.0+ds-1build3_ppc64el.deb ...
 83s Unpacking python3-unicodedata2 (15.1.0+ds-1build3) ...
 83s Selecting previously unselected package unicode-data.
 83s Preparing to unpack .../56-unicode-data_15.1.0-1_all.deb ...
 83s Unpacking unicode-data (15.1.0-1) ...
 84s Selecting previously unselected package python3-fonttools.
 84s Preparing to unpack .../57-python3-fonttools_4.55.3-2build1_ppc64el.deb ...
 84s Unpacking python3-fonttools (4.55.3-2build1) ...
 84s Selecting previously unselected package python3-joblib.
 84s Preparing to unpack .../58-python3-joblib_1.4.2-3_all.deb ...
 84s Unpacking python3-joblib (1.4.2-3) ...
 84s Selecting previously unselected package python3-kiwisolver.
 84s Preparing to unpack .../59-python3-kiwisolver_1.4.7-3build1_ppc64el.deb ...
 84s Unpacking python3-kiwisolver (1.4.7-3build1) ...
 84s Selecting previously unselected package libopenjp2-7:ppc64el.
 84s Preparing to unpack .../60-libopenjp2-7_2.5.3-2_ppc64el.deb ...
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111s autopkgtest [20:46:12]: test run-demos: [-----------------------
111s ==========================================
111s Running case basic_walkthrough.py...
112s [0]	eval-logloss:0.22646	train-logloss:0.23316
112s [1]	eval-logloss:0.13776	train-logloss:0.13654
112s error=0.021726
112s ==========================================
112s Running case boost_from_prediction.py...
113s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args.
113s   warnings.warn(msg, FutureWarning)
113s start running example to start from a initial prediction
113s [0]	eval-logloss:0.22646	train-logloss:0.23316
113s this is result of running from initial prediction
113s [0]	eval-logloss:0.13776	train-logloss:0.13654
113s ==========================================
113s Running case callbacks.py...
115s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [20:46:15] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support.
115s   warnings.warn(smsg, UserWarning)
115s [0]	Train-error:0.03052	Train-rmse:0.35870	Valid-error:0.06993	Valid-rmse:0.37215
115s [1]	Train-error:0.01174	Train-rmse:0.27804	Valid-error:0.04895	Valid-rmse:0.29761
115s [2]	Train-error:0.01174	Train-rmse:0.21911	Valid-error:0.04895	Valid-rmse:0.25064
115s [3]	Train-error:0.00939	Train-rmse:0.17913	Valid-error:0.02797	Valid-rmse:0.21447
115s [4]	Train-error:0.00939	Train-rmse:0.14893	Valid-error:0.02797	Valid-rmse:0.19740
115s [5]	Train-error:0.00939	Train-rmse:0.12816	Valid-error:0.03497	Valid-rmse:0.18098
115s [6]	Train-error:0.00704	Train-rmse:0.11060	Valid-error:0.03497	Valid-rmse:0.17131
115s [7]	Train-error:0.00704	Train-rmse:0.09947	Valid-error:0.03497	Valid-rmse:0.16077
115s [8]	Train-error:0.00469	Train-rmse:0.08816	Valid-error:0.02797	Valid-rmse:0.14865
115s [9]	Train-error:0.00469	Train-rmse:0.07863	Valid-error:0.03497	Valid-rmse:0.15073
115s [10]	Train-error:0.00469	Train-rmse:0.07164	Valid-error:0.02098	Valid-rmse:0.14161
115s [11]	Train-error:0.00469	Train-rmse:0.06692	Valid-error:0.01399	Valid-rmse:0.14028
115s [12]	Train-error:0.00235	Train-rmse:0.06216	Valid-error:0.01399	Valid-rmse:0.13727
115s [13]	Train-error:0.00235	Train-rmse:0.05811	Valid-error:0.01399	Valid-rmse:0.13495
115s [14]	Train-error:0.00000	Train-rmse:0.05532	Valid-error:0.02098	Valid-rmse:0.13500
115s [15]	Train-error:0.00000	Train-rmse:0.05178	Valid-error:0.02098	Valid-rmse:0.13226
115s [16]	Train-error:0.00000	Train-rmse:0.04924	Valid-error:0.02098	Valid-rmse:0.13329
115s [17]	Train-error:0.00000	Train-rmse:0.04656	Valid-error:0.01399	Valid-rmse:0.13183
115s [18]	Train-error:0.00000	Train-rmse:0.04437	Valid-error:0.01399	Valid-rmse:0.13353
115s [19]	Train-error:0.00000	Train-rmse:0.04272	Valid-error:0.02098	Valid-rmse:0.13468
115s [20]	Train-error:0.00000	Train-rmse:0.04030	Valid-error:0.02098	Valid-rmse:0.13419
115s [21]	Train-error:0.00000	Train-rmse:0.03869	Valid-error:0.02797	Valid-rmse:0.13543
115s [22]	Train-error:0.00000	Train-rmse:0.03548	Valid-error:0.03497	Valid-rmse:0.13316
115s [23]	Train-error:0.00000	Train-rmse:0.03444	Valid-error:0.03497	Valid-rmse:0.13637
115s [24]	Train-error:0.00000	Train-rmse:0.03369	Valid-error:0.04196	Valid-rmse:0.13663
115s [25]	Train-error:0.00000	Train-rmse:0.03213	Valid-error:0.03497	Valid-rmse:0.13386
116s [26]	Train-error:0.00000	Train-rmse:0.03100	Valid-error:0.03497	Valid-rmse:0.13180
116s [27]	Train-error:0.00000	Train-rmse:0.03036	Valid-error:0.03497	Valid-rmse:0.13263
116s [28]	Train-error:0.00000	Train-rmse:0.02957	Valid-error:0.04196	Valid-rmse:0.13493
116s [29]	Train-error:0.00000	Train-rmse:0.02866	Valid-error:0.03497	Valid-rmse:0.13487
116s [30]	Train-error:0.00000	Train-rmse:0.02851	Valid-error:0.04196	Valid-rmse:0.13384
116s [31]	Train-error:0.00000	Train-rmse:0.02721	Valid-error:0.02797	Valid-rmse:0.13117
116s [32]	Train-error:0.00000	Train-rmse:0.02615	Valid-error:0.03497	Valid-rmse:0.13188
116s [33]	Train-error:0.00000	Train-rmse:0.02559	Valid-error:0.03497	Valid-rmse:0.13096
116s [34]	Train-error:0.00000	Train-rmse:0.02520	Valid-error:0.04196	Valid-rmse:0.13283
116s [35]	Train-error:0.00000	Train-rmse:0.02438	Valid-error:0.03497	Valid-rmse:0.13220
116s [36]	Train-error:0.00000	Train-rmse:0.02356	Valid-error:0.03497	Valid-rmse:0.13030
116s [37]	Train-error:0.00000	Train-rmse:0.02348	Valid-error:0.03497	Valid-rmse:0.12942
116s [38]	Train-error:0.00000	Train-rmse:0.02337	Valid-error:0.03497	Valid-rmse:0.12955
116s [39]	Train-error:0.00000	Train-rmse:0.02265	Valid-error:0.02797	Valid-rmse:0.12785
116s [40]	Train-error:0.00000	Train-rmse:0.02283	Valid-error:0.03497	Valid-rmse:0.12889
116s [41]	Train-error:0.00000	Train-rmse:0.02255	Valid-error:0.03497	Valid-rmse:0.13066
116s [42]	Train-error:0.00000	Train-rmse:0.02190	Valid-error:0.03497	Valid-rmse:0.12905
116s [43]	Train-error:0.00000	Train-rmse:0.02173	Valid-error:0.03497	Valid-rmse:0.12833
116s [44]	Train-error:0.00000	Train-rmse:0.02180	Valid-error:0.03497	Valid-rmse:0.12884
116s [45]	Train-error:0.00000	Train-rmse:0.02153	Valid-error:0.03497	Valid-rmse:0.13050
116s [46]	Train-error:0.00000	Train-rmse:0.02149	Valid-error:0.03497	Valid-rmse:0.12927
116s [47]	Train-error:0.00000	Train-rmse:0.02134	Valid-error:0.02797	Valid-rmse:0.13012
116s [48]	Train-error:0.00000	Train-rmse:0.02119	Valid-error:0.03497	Valid-rmse:0.12936
116s [49]	Train-error:0.00000	Train-rmse:0.02124	Valid-error:0.02797	Valid-rmse:0.12989
116s [50]	Train-error:0.00000	Train-rmse:0.02116	Valid-error:0.02797	Valid-rmse:0.13014
116s [51]	Train-error:0.00000	Train-rmse:0.02107	Valid-error:0.02797	Valid-rmse:0.12953
116s [52]	Train-error:0.00000	Train-rmse:0.02121	Valid-error:0.02797	Valid-rmse:0.12976
116s [53]	Train-error:0.00000	Train-rmse:0.02080	Valid-error:0.02797	Valid-rmse:0.12903
116s [54]	Train-error:0.00000	Train-rmse:0.02060	Valid-error:0.02797	Valid-rmse:0.13032
116s [55]	Train-error:0.00000	Train-rmse:0.02069	Valid-error:0.02797	Valid-rmse:0.13027
116s [56]	Train-error:0.00000	Train-rmse:0.02039	Valid-error:0.02797	Valid-rmse:0.12900
116s [57]	Train-error:0.00000	Train-rmse:0.02031	Valid-error:0.02797	Valid-rmse:0.12845
117s [58]	Train-error:0.00000	Train-rmse:0.02047	Valid-error:0.02797	Valid-rmse:0.12928
117s [59]	Train-error:0.00000	Train-rmse:0.02013	Valid-error:0.02797	Valid-rmse:0.12865
117s [60]	Train-error:0.00000	Train-rmse:0.02027	Valid-error:0.02797	Valid-rmse:0.12884
117s [61]	Train-error:0.00000	Train-rmse:0.02023	Valid-error:0.02797	Valid-rmse:0.12917
117s [62]	Train-error:0.00000	Train-rmse:0.02013	Valid-error:0.02797	Valid-rmse:0.12947
117s [63]	Train-error:0.00000	Train-rmse:0.01986	Valid-error:0.02797	Valid-rmse:0.12827
117s [64]	Train-error:0.00000	Train-rmse:0.01980	Valid-error:0.02797	Valid-rmse:0.12780
117s [65]	Train-error:0.00000	Train-rmse:0.01971	Valid-error:0.02797	Valid-rmse:0.12888
117s [66]	Train-error:0.00000	Train-rmse:0.01980	Valid-error:0.02797	Valid-rmse:0.12928
117s [67]	Train-error:0.00000	Train-rmse:0.01977	Valid-error:0.02797	Valid-rmse:0.12962
117s [68]	Train-error:0.00000	Train-rmse:0.01969	Valid-error:0.02797	Valid-rmse:0.12991
117s [69]	Train-error:0.00000	Train-rmse:0.01940	Valid-error:0.02797	Valid-rmse:0.12920
117s [70]	Train-error:0.00000	Train-rmse:0.01941	Valid-error:0.02797	Valid-rmse:0.12825
117s [71]	Train-error:0.00000	Train-rmse:0.01936	Valid-error:0.02797	Valid-rmse:0.12785
117s [72]	Train-error:0.00000	Train-rmse:0.01950	Valid-error:0.02797	Valid-rmse:0.12858
117s [73]	Train-error:0.00000	Train-rmse:0.01921	Valid-error:0.02797	Valid-rmse:0.12791
117s [74]	Train-error:0.00000	Train-rmse:0.01914	Valid-error:0.02797	Valid-rmse:0.12832
117s [75]	Train-error:0.00000	Train-rmse:0.01912	Valid-error:0.02797	Valid-rmse:0.12821
117s [76]	Train-error:0.00000	Train-rmse:0.01906	Valid-error:0.02797	Valid-rmse:0.12814
117s [77]	Train-error:0.00000	Train-rmse:0.01897	Valid-error:0.02797	Valid-rmse:0.12845
117s [78]	Train-error:0.00000	Train-rmse:0.01875	Valid-error:0.02797	Valid-rmse:0.12734
117s [79]	Train-error:0.00000	Train-rmse:0.01873	Valid-error:0.02797	Valid-rmse:0.12765
117s [80]	Train-error:0.00000	Train-rmse:0.01866	Valid-error:0.02797	Valid-rmse:0.12793
117s [81]	Train-error:0.00000	Train-rmse:0.01869	Valid-error:0.02797	Valid-rmse:0.12708
117s [82]	Train-error:0.00000	Train-rmse:0.01844	Valid-error:0.02797	Valid-rmse:0.12642
117s [83]	Train-error:0.00000	Train-rmse:0.01857	Valid-error:0.02797	Valid-rmse:0.12709
117s [84]	Train-error:0.00000	Train-rmse:0.01853	Valid-error:0.02797	Valid-rmse:0.12674
117s [85]	Train-error:0.00000	Train-rmse:0.01862	Valid-error:0.02797	Valid-rmse:0.12712
117s [86]	Train-error:0.00000	Train-rmse:0.01853	Valid-error:0.02797	Valid-rmse:0.12754
117s [87]	Train-error:0.00000	Train-rmse:0.01829	Valid-error:0.02797	Valid-rmse:0.12693
117s [88]	Train-error:0.00000	Train-rmse:0.01821	Valid-error:0.02797	Valid-rmse:0.12788
118s [89]	Train-error:0.00000	Train-rmse:0.01816	Valid-error:0.02797	Valid-rmse:0.12782
118s [90]	Train-error:0.00000	Train-rmse:0.01816	Valid-error:0.02797	Valid-rmse:0.12768
118s [91]	Train-error:0.00000	Train-rmse:0.01809	Valid-error:0.02797	Valid-rmse:0.12797
118s [92]	Train-error:0.00000	Train-rmse:0.01807	Valid-error:0.02797	Valid-rmse:0.12768
118s [93]	Train-error:0.00000	Train-rmse:0.01798	Valid-error:0.02797	Valid-rmse:0.12858
118s [94]	Train-error:0.00000	Train-rmse:0.01776	Valid-error:0.02797	Valid-rmse:0.12801
118s [95]	Train-error:0.00000	Train-rmse:0.01786	Valid-error:0.02797	Valid-rmse:0.12804
118s [96]	Train-error:0.00000	Train-rmse:0.01779	Valid-error:0.02797	Valid-rmse:0.12844
118s [97]	Train-error:0.00000	Train-rmse:0.01778	Valid-error:0.02797	Valid-rmse:0.12875
118s [98]	Train-error:0.00000	Train-rmse:0.01759	Valid-error:0.02797	Valid-rmse:0.12806
118s [99]	Train-error:0.00000	Train-rmse:0.01771	Valid-error:0.02797	Valid-rmse:0.12865
118s ==========================================
118s Skip case cat_in_the_dat.py...
118s ==========================================
118s Running case cat_pipeline.py...
119s ==========================================
119s Running case categorical.py...
120s [0]	validation_0-rmse:2.94171
120s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [20:46:20] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support.
120s   warnings.warn(smsg, UserWarning)
120s [1]	validation_0-rmse:2.40095
120s [2]	validation_0-rmse:1.96121
120s [3]	validation_0-rmse:1.61285
120s [4]	validation_0-rmse:1.35854
120s [5]	validation_0-rmse:1.12286
120s [6]	validation_0-rmse:0.96789
120s [7]	validation_0-rmse:0.79707
120s [8]	validation_0-rmse:0.66201
120s [9]	validation_0-rmse:0.55282
120s [10]	validation_0-rmse:0.46038
120s [11]	validation_0-rmse:0.38278
120s [12]	validation_0-rmse:0.32840
120s [13]	validation_0-rmse:0.27462
120s [14]	validation_0-rmse:0.23398
120s [15]	validation_0-rmse:0.19823
120s [16]	validation_0-rmse:0.16984
120s [17]	validation_0-rmse:0.14636
120s [18]	validation_0-rmse:0.12447
120s [19]	validation_0-rmse:0.10444
120s [20]	validation_0-rmse:0.08984
120s [21]	validation_0-rmse:0.07610
120s [22]	validation_0-rmse:0.06622
120s [23]	validation_0-rmse:0.05653
120s [24]	validation_0-rmse:0.04906
120s [25]	validation_0-rmse:0.04173
120s [26]	validation_0-rmse:0.03550
120s [27]	validation_0-rmse:0.03046
120s [28]	validation_0-rmse:0.02585
120s [29]	validation_0-rmse:0.02187
120s [30]	validation_0-rmse:0.01863
120s [31]	validation_0-rmse:0.01597
120s [32]	validation_0-rmse:0.01361
120s [33]	validation_0-rmse:0.01166
120s [34]	validation_0-rmse:0.01041
120s [35]	validation_0-rmse:0.00909
120s [36]	validation_0-rmse:0.00780
120s [37]	validation_0-rmse:0.00666
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120s [39]	validation_0-rmse:0.00493
120s [40]	validation_0-rmse:0.00426
120s [41]	validation_0-rmse:0.00365
120s [42]	validation_0-rmse:0.00314
120s [43]	validation_0-rmse:0.00268
120s [44]	validation_0-rmse:0.00233
120s [45]	validation_0-rmse:0.00200
120s [46]	validation_0-rmse:0.00170
120s [47]	validation_0-rmse:0.00148
120s [48]	validation_0-rmse:0.00130
120s [49]	validation_0-rmse:0.00116
120s [50]	validation_0-rmse:0.00100
120s [51]	validation_0-rmse:0.00090
120s [52]	validation_0-rmse:0.00082
120s [53]	validation_0-rmse:0.00075
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120s [71]	validation_0-rmse:0.00075
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120s [84]	validation_0-rmse:0.00075
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120s [86]	validation_0-rmse:0.00075
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120s [89]	validation_0-rmse:0.00075
120s [90]	validation_0-rmse:0.00075
120s [91]	validation_0-rmse:0.00075
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120s [93]	validation_0-rmse:0.00075
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120s [97]	validation_0-rmse:0.00075
120s [98]	validation_0-rmse:0.00075
120s [99]	validation_0-rmse:0.00075
120s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [20:46:20] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support.
120s   warnings.warn(smsg, UserWarning)
120s [0]	validation_0-rmse:2.94171
120s [1]	validation_0-rmse:2.40095
120s [2]	validation_0-rmse:1.96121
120s [3]	validation_0-rmse:1.61285
120s [4]	validation_0-rmse:1.35854
120s [5]	validation_0-rmse:1.12286
120s [6]	validation_0-rmse:0.96789
120s [7]	validation_0-rmse:0.79707
120s [8]	validation_0-rmse:0.66201
120s [9]	validation_0-rmse:0.55282
120s [10]	validation_0-rmse:0.46038
120s [11]	validation_0-rmse:0.38278
120s [12]	validation_0-rmse:0.32840
120s [13]	validation_0-rmse:0.27462
120s [14]	validation_0-rmse:0.23398
120s [15]	validation_0-rmse:0.19823
120s [16]	validation_0-rmse:0.16984
120s [17]	validation_0-rmse:0.14636
120s [18]	validation_0-rmse:0.12447
120s [19]	validation_0-rmse:0.10444
120s [20]	validation_0-rmse:0.08984
120s [21]	validation_0-rmse:0.07610
120s [22]	validation_0-rmse:0.06622
120s [23]	validation_0-rmse:0.05653
120s [24]	validation_0-rmse:0.04906
120s [25]	validation_0-rmse:0.04173
120s [26]	validation_0-rmse:0.03550
120s [27]	validation_0-rmse:0.03046
120s [28]	validation_0-rmse:0.02585
120s [29]	validation_0-rmse:0.02187
120s [30]	validation_0-rmse:0.01863
120s [31]	validation_0-rmse:0.01597
120s [32]	validation_0-rmse:0.01361
120s [33]	validation_0-rmse:0.01166
120s [34]	validation_0-rmse:0.01041
120s [35]	validation_0-rmse:0.00909
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120s [41]	validation_0-rmse:0.00365
120s [42]	validation_0-rmse:0.00314
120s [43]	validation_0-rmse:0.00268
120s [44]	validation_0-rmse:0.00233
120s [45]	validation_0-rmse:0.00200
120s [46]	validation_0-rmse:0.00170
120s [47]	validation_0-rmse:0.00148
120s [48]	validation_0-rmse:0.00130
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120s [51]	validation_0-rmse:0.00090
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120s [53]	validation_0-rmse:0.00075
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120s [84]	validation_0-rmse:0.00075
120s [85]	validation_0-rmse:0.00075
120s [86]	validation_0-rmse:0.00075
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120s [89]	validation_0-rmse:0.00075
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120s [92]	validation_0-rmse:0.00075
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120s [95]	validation_0-rmse:0.00075
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120s [97]	validation_0-rmse:0.00075
120s [98]	validation_0-rmse:0.00075
120s [99]	validation_0-rmse:0.00075
120s ==========================================
120s Running case continuation.py...
121s [0]	validation_0-logloss:0.43281
121s [1]	validation_0-logloss:0.30816
121s [2]	validation_0-logloss:0.22816
121s [3]	validation_0-logloss:0.17470
121s [4]	validation_0-logloss:0.13438
121s [5]	validation_0-logloss:0.10538
121s [6]	validation_0-logloss:0.08467
121s [7]	validation_0-logloss:0.06909
121s [8]	validation_0-logloss:0.05766
121s [9]	validation_0-logloss:0.04842
121s [10]	validation_0-logloss:0.04121
121s [11]	validation_0-logloss:0.03545
121s [12]	validation_0-logloss:0.03077
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121s [29]	validation_0-logloss:0.00993
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121s [104]	validation_0-logloss:0.00456
121s [105]	validation_0-logloss:0.00454
121s [106]	validation_0-logloss:0.00452
121s [107]	validation_0-logloss:0.00451
121s [108]	validation_0-logloss:0.00449
121s [109]	validation_0-logloss:0.00448
121s [110]	validation_0-logloss:0.00446
121s [111]	validation_0-logloss:0.00444
121s [112]	validation_0-logloss:0.00443
121s [113]	validation_0-logloss:0.00441
121s [114]	validation_0-logloss:0.00440
121s [115]	validation_0-logloss:0.00438
121s [116]	validation_0-logloss:0.00437
121s [117]	validation_0-logloss:0.00435
121s [118]	validation_0-logloss:0.00434
121s [119]	validation_0-logloss:0.00433
121s [120]	validation_0-logloss:0.00431
121s [121]	validation_0-logloss:0.00430
121s [122]	validation_0-logloss:0.00429
121s [123]	validation_0-logloss:0.00427
121s [124]	validation_0-logloss:0.00426
121s [125]	validation_0-logloss:0.00425
121s [126]	validation_0-logloss:0.00423
121s [127]	validation_0-logloss:0.00422
121s [128]	validation_0-logloss:0.00421
121s [129]	validation_0-logloss:0.00420
121s [130]	validation_0-logloss:0.00419
121s [131]	validation_0-logloss:0.00417
121s [132]	validation_0-logloss:0.00416
121s [133]	validation_0-logloss:0.00415
121s [134]	validation_0-logloss:0.00414
121s [135]	validation_0-logloss:0.00413
121s [136]	validation_0-logloss:0.00412
121s [137]	validation_0-logloss:0.00411
121s [138]	validation_0-logloss:0.00410
121s [139]	validation_0-logloss:0.00409
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121s [141]	validation_0-logloss:0.00407
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121s [143]	validation_0-logloss:0.00405
121s [144]	validation_0-logloss:0.00404
121s [145]	validation_0-logloss:0.00403
121s [146]	validation_0-logloss:0.00402
121s [147]	validation_0-logloss:0.00401
121s [148]	validation_0-logloss:0.00400
121s [149]	validation_0-logloss:0.00399
121s [150]	validation_0-logloss:0.00398
121s [151]	validation_0-logloss:0.00397
121s [152]	validation_0-logloss:0.00396
121s [153]	validation_0-logloss:0.00396
121s [154]	validation_0-logloss:0.00395
121s [155]	validation_0-logloss:0.00394
121s [156]	validation_0-logloss:0.00393
121s [157]	validation_0-logloss:0.00392
121s [158]	validation_0-logloss:0.00391
121s [159]	validation_0-logloss:0.00391
121s [160]	validation_0-logloss:0.00390
121s [161]	validation_0-logloss:0.00389
121s [162]	validation_0-logloss:0.00388
121s [163]	validation_0-logloss:0.00388
121s [164]	validation_0-logloss:0.00387
121s [165]	validation_0-logloss:0.00386
121s [166]	validation_0-logloss:0.00385
121s [167]	validation_0-logloss:0.00385
121s [168]	validation_0-logloss:0.00384
121s [169]	validation_0-logloss:0.00383
121s [170]	validation_0-logloss:0.00383
121s [171]	validation_0-logloss:0.00382
121s [172]	validation_0-logloss:0.00381
121s [173]	validation_0-logloss:0.00381
121s [174]	validation_0-logloss:0.00380
121s [175]	validation_0-logloss:0.00380
121s [176]	validation_0-logloss:0.00379
121s [177]	validation_0-logloss:0.00379
121s [178]	validation_0-logloss:0.00378
121s [179]	validation_0-logloss:0.00378
121s [180]	validation_0-logloss:0.00377
121s [181]	validation_0-logloss:0.00377
121s [182]	validation_0-logloss:0.00376
121s [183]	validation_0-logloss:0.00376
121s [184]	validation_0-logloss:0.00375
121s [185]	validation_0-logloss:0.00375
121s [186]	validation_0-logloss:0.00374
121s [187]	validation_0-logloss:0.00374
121s [188]	validation_0-logloss:0.00373
121s [189]	validation_0-logloss:0.00373
121s [190]	validation_0-logloss:0.00373
121s [191]	validation_0-logloss:0.00372
121s [192]	validation_0-logloss:0.00372
121s [193]	validation_0-logloss:0.00372
121s [194]	validation_0-logloss:0.00371
121s [195]	validation_0-logloss:0.00371
121s [196]	validation_0-logloss:0.00371
121s [197]	validation_0-logloss:0.00371
121s [198]	validation_0-logloss:0.00371
121s Total boosted rounds: 195
121s [0]	validation_0-logloss:0.43281
121s [1]	validation_0-logloss:0.30816
121s [2]	validation_0-logloss:0.22816
121s [3]	validation_0-logloss:0.17470
121s [4]	validation_0-logloss:0.13438
121s [5]	validation_0-logloss:0.10538
121s [6]	validation_0-logloss:0.08467
121s [7]	validation_0-logloss:0.06909
121s [8]	validation_0-logloss:0.05766
121s [9]	validation_0-logloss:0.04842
121s [10]	validation_0-logloss:0.04121
121s [11]	validation_0-logloss:0.03545
121s [12]	validation_0-logloss:0.03077
121s [13]	validation_0-logloss:0.02742
121s [14]	validation_0-logloss:0.02444
121s [15]	validation_0-logloss:0.02208
121s [16]	validation_0-logloss:0.01993
121s [17]	validation_0-logloss:0.01819
121s [18]	validation_0-logloss:0.01676
121s [19]	validation_0-logloss:0.01575
121s [20]	validation_0-logloss:0.01461
121s [21]	validation_0-logloss:0.01383
121s [22]	validation_0-logloss:0.01304
121s [23]	validation_0-logloss:0.01243
121s [24]	validation_0-logloss:0.01179
121s [25]	validation_0-logloss:0.01142
121s [26]	validation_0-logloss:0.01103
121s [27]	validation_0-logloss:0.01066
121s [28]	validation_0-logloss:0.01037
121s [29]	validation_0-logloss:0.00993
121s [30]	validation_0-logloss:0.00966
121s [31]	validation_0-logloss:0.00920
121s [32]	validation_0-logloss:0.00900
121s [33]	validation_0-logloss:0.00876
121s [34]	validation_0-logloss:0.00852
121s [35]	validation_0-logloss:0.00835
121s [36]	validation_0-logloss:0.00810
121s [37]	validation_0-logloss:0.00791
121s [38]	validation_0-logloss:0.00764
121s [39]	validation_0-logloss:0.00753
121s [40]	validation_0-logloss:0.00739
121s [41]	validation_0-logloss:0.00723
121s [42]	validation_0-logloss:0.00706
121s [43]	validation_0-logloss:0.00695
121s [44]	validation_0-logloss:0.00688
121s [45]	validation_0-logloss:0.00671
121s [46]	validation_0-logloss:0.00662
121s [47]	validation_0-logloss:0.00650
121s [48]	validation_0-logloss:0.00637
121s [49]	validation_0-logloss:0.00628
121s [50]	validation_0-logloss:0.00623
121s [51]	validation_0-logloss:0.00618
121s [52]	validation_0-logloss:0.00614
121s [53]	validation_0-logloss:0.00609
121s [54]	validation_0-logloss:0.00600
121s [55]	validation_0-logloss:0.00590
121s [56]	validation_0-logloss:0.00582
121s [57]	validation_0-logloss:0.00578
121s [58]	validation_0-logloss:0.00570
121s [59]	validation_0-logloss:0.00566
121s [60]	validation_0-logloss:0.00563
121s [61]	validation_0-logloss:0.00559
121s [62]	validation_0-logloss:0.00556
121s [63]	validation_0-logloss:0.00553
121s [64]	validation_0-logloss:0.00549
121s [65]	validation_0-logloss:0.00546
121s [66]	validation_0-logloss:0.00543
121s [67]	validation_0-logloss:0.00540
121s [68]	validation_0-logloss:0.00537
121s [69]	validation_0-logloss:0.00534
121s [70]	validation_0-logloss:0.00531
121s [71]	validation_0-logloss:0.00528
121s [72]	validation_0-logloss:0.00525
121s [73]	validation_0-logloss:0.00523
121s [74]	validation_0-logloss:0.00520
121s [75]	validation_0-logloss:0.00517
121s [76]	validation_0-logloss:0.00515
121s [77]	validation_0-logloss:0.00512
121s [78]	validation_0-logloss:0.00510
121s [79]	validation_0-logloss:0.00507
121s [80]	validation_0-logloss:0.00505
121s [81]	validation_0-logloss:0.00502
121s [82]	validation_0-logloss:0.00500
121s [83]	validation_0-logloss:0.00498
121s [84]	validation_0-logloss:0.00496
121s [85]	validation_0-logloss:0.00493
121s [86]	validation_0-logloss:0.00491
121s [87]	validation_0-logloss:0.00489
121s [88]	validation_0-logloss:0.00486
121s [89]	validation_0-logloss:0.00484
121s [90]	validation_0-logloss:0.00482
121s [91]	validation_0-logloss:0.00480
121s [92]	validation_0-logloss:0.00478
121s [93]	validation_0-logloss:0.00476
121s [94]	validation_0-logloss:0.00474
121s [95]	validation_0-logloss:0.00472
121s [96]	validation_0-logloss:0.00470
121s [97]	validation_0-logloss:0.00468
121s [98]	validation_0-logloss:0.00466
121s [99]	validation_0-logloss:0.00464
121s [100]	validation_0-logloss:0.00463
121s [101]	validation_0-logloss:0.00461
121s [102]	validation_0-logloss:0.00459
121s [103]	validation_0-logloss:0.00457
121s [104]	validation_0-logloss:0.00456
121s [105]	validation_0-logloss:0.00454
121s [106]	validation_0-logloss:0.00452
121s [107]	validation_0-logloss:0.00451
121s [108]	validation_0-logloss:0.00449
121s [109]	validation_0-logloss:0.00448
121s [110]	validation_0-logloss:0.00446
121s [111]	validation_0-logloss:0.00444
121s [112]	validation_0-logloss:0.00443
121s [113]	validation_0-logloss:0.00441
121s [114]	validation_0-logloss:0.00440
121s [115]	validation_0-logloss:0.00438
121s [116]	validation_0-logloss:0.00437
121s [117]	validation_0-logloss:0.00435
121s [118]	validation_0-logloss:0.00434
121s [119]	validation_0-logloss:0.00433
121s [120]	validation_0-logloss:0.00431
121s [121]	validation_0-logloss:0.00430
121s [122]	validation_0-logloss:0.00429
121s [123]	validation_0-logloss:0.00427
121s [124]	validation_0-logloss:0.00426
121s [125]	validation_0-logloss:0.00425
121s [126]	validation_0-logloss:0.00423
121s [127]	validation_0-logloss:0.00422
121s [0]	validation_0-logloss:0.00421
121s [1]	validation_0-logloss:0.00420
121s [2]	validation_0-logloss:0.00419
121s [3]	validation_0-logloss:0.00417
121s [4]	validation_0-logloss:0.00416
121s [5]	validation_0-logloss:0.00415
121s [6]	validation_0-logloss:0.00414
121s [7]	validation_0-logloss:0.00413
121s [8]	validation_0-logloss:0.00412
121s [9]	validation_0-logloss:0.00411
121s [10]	validation_0-logloss:0.00410
121s [11]	validation_0-logloss:0.00409
121s [12]	validation_0-logloss:0.00408
121s [13]	validation_0-logloss:0.00407
121s [14]	validation_0-logloss:0.00406
121s [15]	validation_0-logloss:0.00405
121s [16]	validation_0-logloss:0.00404
121s [17]	validation_0-logloss:0.00403
121s [18]	validation_0-logloss:0.00402
121s [19]	validation_0-logloss:0.00401
121s [20]	validation_0-logloss:0.00400
121s [21]	validation_0-logloss:0.00399
121s [22]	validation_0-logloss:0.00398
121s [23]	validation_0-logloss:0.00397
121s [24]	validation_0-logloss:0.00396
121s [25]	validation_0-logloss:0.00396
121s [26]	validation_0-logloss:0.00395
121s [27]	validation_0-logloss:0.00394
121s [28]	validation_0-logloss:0.00393
121s [29]	validation_0-logloss:0.00392
121s [30]	validation_0-logloss:0.00391
121s [31]	validation_0-logloss:0.00391
121s [32]	validation_0-logloss:0.00390
121s [33]	validation_0-logloss:0.00389
121s [34]	validation_0-logloss:0.00388
121s [35]	validation_0-logloss:0.00388
121s [36]	validation_0-logloss:0.00387
121s [37]	validation_0-logloss:0.00386
121s [38]	validation_0-logloss:0.00385
121s [39]	validation_0-logloss:0.00385
121s [40]	validation_0-logloss:0.00384
121s [41]	validation_0-logloss:0.00383
121s [42]	validation_0-logloss:0.00383
121s [43]	validation_0-logloss:0.00382
121s [44]	validation_0-logloss:0.00381
121s [45]	validation_0-logloss:0.00381
121s [46]	validation_0-logloss:0.00380
121s [47]	validation_0-logloss:0.00380
121s [48]	validation_0-logloss:0.00379
121s [49]	validation_0-logloss:0.00379
121s [50]	validation_0-logloss:0.00378
121s [51]	validation_0-logloss:0.00378
121s [52]	validation_0-logloss:0.00377
121s [53]	validation_0-logloss:0.00377
121s [54]	validation_0-logloss:0.00376
121s [55]	validation_0-logloss:0.00376
121s [56]	validation_0-logloss:0.00375
121s [57]	validation_0-logloss:0.00375
121s [58]	validation_0-logloss:0.00374
121s [59]	validation_0-logloss:0.00374
121s [60]	validation_0-logloss:0.00373
121s [61]	validation_0-logloss:0.00373
121s [62]	validation_0-logloss:0.00373
121s [63]	validation_0-logloss:0.00372
121s [64]	validation_0-logloss:0.00372
121s [65]	validation_0-logloss:0.00372
121s [66]	validation_0-logloss:0.00371
121s [67]	validation_0-logloss:0.00371
121s [68]	validation_0-logloss:0.00371
121s [69]	validation_0-logloss:0.00371
121s [70]	validation_0-logloss:0.00371
121s [71]	validation_0-logloss:0.00371
121s Total boosted rounds: 195
121s [0]	validation_0-logloss:0.43281
121s [1]	validation_0-logloss:0.30816
121s [2]	validation_0-logloss:0.22816
121s [3]	validation_0-logloss:0.17470
121s [4]	validation_0-logloss:0.13438
121s [5]	validation_0-logloss:0.10538
121s [6]	validation_0-logloss:0.08467
121s [7]	validation_0-logloss:0.06909
121s [8]	validation_0-logloss:0.05766
121s [9]	validation_0-logloss:0.04842
121s [10]	validation_0-logloss:0.04121
121s [11]	validation_0-logloss:0.03545
121s [12]	validation_0-logloss:0.03077
121s [13]	validation_0-logloss:0.02742
121s [14]	validation_0-logloss:0.02444
121s [15]	validation_0-logloss:0.02208
121s [16]	validation_0-logloss:0.01993
121s [17]	validation_0-logloss:0.01819
121s [18]	validation_0-logloss:0.01676
121s [19]	validation_0-logloss:0.01575
121s [20]	validation_0-logloss:0.01461
121s [21]	validation_0-logloss:0.01383
121s [22]	validation_0-logloss:0.01304
121s [23]	validation_0-logloss:0.01243
121s [24]	validation_0-logloss:0.01179
121s [25]	validation_0-logloss:0.01142
121s [26]	validation_0-logloss:0.01103
121s [27]	validation_0-logloss:0.01066
121s [28]	validation_0-logloss:0.01037
121s [29]	validation_0-logloss:0.00993
121s [30]	validation_0-logloss:0.00966
121s [31]	validation_0-logloss:0.00920
121s [32]	validation_0-logloss:0.00900
121s [33]	validation_0-logloss:0.00876
121s [34]	validation_0-logloss:0.00852
121s [35]	validation_0-logloss:0.00835
121s [36]	validation_0-logloss:0.00810
121s [37]	validation_0-logloss:0.00791
121s [38]	validation_0-logloss:0.00764
121s [39]	validation_0-logloss:0.00753
121s [40]	validation_0-logloss:0.00739
121s [41]	validation_0-logloss:0.00723
121s [42]	validation_0-logloss:0.00706
121s [43]	validation_0-logloss:0.00695
121s [44]	validation_0-logloss:0.00688
121s [45]	validation_0-logloss:0.00671
121s [46]	validation_0-logloss:0.00662
121s [47]	validation_0-logloss:0.00650
121s [48]	validation_0-logloss:0.00637
121s [49]	validation_0-logloss:0.00628
121s [50]	validation_0-logloss:0.00623
121s [51]	validation_0-logloss:0.00618
121s [52]	validation_0-logloss:0.00614
121s [53]	validation_0-logloss:0.00609
121s [54]	validation_0-logloss:0.00600
121s [55]	validation_0-logloss:0.00590
121s [56]	validation_0-logloss:0.00582
121s [57]	validation_0-logloss:0.00578
121s [58]	validation_0-logloss:0.00570
121s [59]	validation_0-logloss:0.00566
121s [60]	validation_0-logloss:0.00563
121s [61]	validation_0-logloss:0.00559
121s [62]	validation_0-logloss:0.00556
121s [63]	validation_0-logloss:0.00553
121s [64]	validation_0-logloss:0.00549
121s [65]	validation_0-logloss:0.00546
121s [66]	validation_0-logloss:0.00543
121s [67]	validation_0-logloss:0.00540
121s [68]	validation_0-logloss:0.00537
121s [69]	validation_0-logloss:0.00534
121s [70]	validation_0-logloss:0.00531
121s [71]	validation_0-logloss:0.00528
121s [72]	validation_0-logloss:0.00525
121s [73]	validation_0-logloss:0.00523
121s [74]	validation_0-logloss:0.00520
121s [75]	validation_0-logloss:0.00517
121s [76]	validation_0-logloss:0.00515
121s [77]	validation_0-logloss:0.00512
121s [78]	validation_0-logloss:0.00510
121s [79]	validation_0-logloss:0.00507
121s [80]	validation_0-logloss:0.00505
121s [81]	validation_0-logloss:0.00502
121s [82]	validation_0-logloss:0.00500
121s [83]	validation_0-logloss:0.00498
121s [84]	validation_0-logloss:0.00496
121s [85]	validation_0-logloss:0.00493
121s [86]	validation_0-logloss:0.00491
121s [87]	validation_0-logloss:0.00489
121s [88]	validation_0-logloss:0.00486
121s [89]	validation_0-logloss:0.00484
121s [90]	validation_0-logloss:0.00482
121s [91]	validation_0-logloss:0.00480
121s [92]	validation_0-logloss:0.00478
121s [93]	validation_0-logloss:0.00476
121s [94]	validation_0-logloss:0.00474
121s [95]	validation_0-logloss:0.00472
121s [96]	validation_0-logloss:0.00470
121s [97]	validation_0-logloss:0.00468
121s [98]	validation_0-logloss:0.00466
121s [99]	validation_0-logloss:0.00464
121s [100]	validation_0-logloss:0.00463
121s [101]	validation_0-logloss:0.00461
121s [102]	validation_0-logloss:0.00459
121s [103]	validation_0-logloss:0.00457
121s [104]	validation_0-logloss:0.00456
121s [105]	validation_0-logloss:0.00454
121s [106]	validation_0-logloss:0.00452
121s [107]	validation_0-logloss:0.00451
121s [108]	validation_0-logloss:0.00449
121s [109]	validation_0-logloss:0.00448
121s [110]	validation_0-logloss:0.00446
121s [111]	validation_0-logloss:0.00444
121s [112]	validation_0-logloss:0.00443
121s [113]	validation_0-logloss:0.00441
121s [114]	validation_0-logloss:0.00440
121s [115]	validation_0-logloss:0.00438
121s [116]	validation_0-logloss:0.00437
121s [117]	validation_0-logloss:0.00435
121s [118]	validation_0-logloss:0.00434
121s [119]	validation_0-logloss:0.00433
121s [120]	validation_0-logloss:0.00431
121s [121]	validation_0-logloss:0.00430
121s [122]	validation_0-logloss:0.00429
121s [123]	validation_0-logloss:0.00427
121s [124]	validation_0-logloss:0.00426
121s [125]	validation_0-logloss:0.00425
121s [126]	validation_0-logloss:0.00423
121s [127]	validation_0-logloss:0.00422
121s [128]	validation_0-logloss:0.00421
121s [129]	validation_0-logloss:0.00420
121s [130]	validation_0-logloss:0.00419
121s [131]	validation_0-logloss:0.00417
121s [132]	validation_0-logloss:0.00416
121s [133]	validation_0-logloss:0.00415
121s [134]	validation_0-logloss:0.00414
121s [135]	validation_0-logloss:0.00413
121s [136]	validation_0-logloss:0.00412
121s [137]	validation_0-logloss:0.00411
121s [138]	validation_0-logloss:0.00410
121s [139]	validation_0-logloss:0.00409
121s [140]	validation_0-logloss:0.00408
121s [141]	validation_0-logloss:0.00407
121s [142]	validation_0-logloss:0.00406
121s [143]	validation_0-logloss:0.00405
121s [144]	validation_0-logloss:0.00404
121s [145]	validation_0-logloss:0.00403
121s [146]	validation_0-logloss:0.00402
121s [147]	validation_0-logloss:0.00401
121s [148]	validation_0-logloss:0.00400
121s [149]	validation_0-logloss:0.00399
121s [150]	validation_0-logloss:0.00398
121s [151]	validation_0-logloss:0.00397
121s [152]	validation_0-logloss:0.00396
121s [153]	validation_0-logloss:0.00396
121s [154]	validation_0-logloss:0.00395
121s [155]	validation_0-logloss:0.00394
121s [156]	validation_0-logloss:0.00393
121s [157]	validation_0-logloss:0.00392
121s [158]	validation_0-logloss:0.00391
121s [159]	validation_0-logloss:0.00391
121s [160]	validation_0-logloss:0.00390
121s [161]	validation_0-logloss:0.00389
121s [162]	validation_0-logloss:0.00388
121s [163]	validation_0-logloss:0.00388
121s [164]	validation_0-logloss:0.00387
121s [165]	validation_0-logloss:0.00386
121s [166]	validation_0-logloss:0.00385
121s [167]	validation_0-logloss:0.00385
121s [168]	validation_0-logloss:0.00384
121s [169]	validation_0-logloss:0.00383
121s [170]	validation_0-logloss:0.00383
121s [171]	validation_0-logloss:0.00382
121s [172]	validation_0-logloss:0.00381
121s [173]	validation_0-logloss:0.00381
121s [174]	validation_0-logloss:0.00380
121s [175]	validation_0-logloss:0.00380
121s [176]	validation_0-logloss:0.00379
121s [177]	validation_0-logloss:0.00379
121s [178]	validation_0-logloss:0.00378
121s [179]	validation_0-logloss:0.00378
121s [180]	validation_0-logloss:0.00377
121s [181]	validation_0-logloss:0.00377
121s [182]	validation_0-logloss:0.00376
121s [183]	validation_0-logloss:0.00376
121s [184]	validation_0-logloss:0.00375
121s [185]	validation_0-logloss:0.00375
121s [186]	validation_0-logloss:0.00374
121s [187]	validation_0-logloss:0.00374
121s [188]	validation_0-logloss:0.00373
121s [189]	validation_0-logloss:0.00373
121s [190]	validation_0-logloss:0.00373
121s [191]	validation_0-logloss:0.00372
121s [192]	validation_0-logloss:0.00372
121s [193]	validation_0-logloss:0.00372
121s [194]	validation_0-logloss:0.00371
121s [195]	validation_0-logloss:0.00371
121s [196]	validation_0-logloss:0.00371
121s [197]	validation_0-logloss:0.00371
121s [198]	validation_0-logloss:0.00371
121s [199]	validation_0-logloss:0.00371
121s Total boosted rounds: 195
121s [0]	validation_0-logloss:0.43281
121s [1]	validation_0-logloss:0.30816
121s [2]	validation_0-logloss:0.22816
121s [3]	validation_0-logloss:0.17470
121s [4]	validation_0-logloss:0.13438
121s [5]	validation_0-logloss:0.10538
121s [6]	validation_0-logloss:0.08467
121s [7]	validation_0-logloss:0.06909
121s [8]	validation_0-logloss:0.05766
121s [9]	validation_0-logloss:0.04842
121s [10]	validation_0-logloss:0.04121
121s [11]	validation_0-logloss:0.03545
121s [12]	validation_0-logloss:0.03077
121s [13]	validation_0-logloss:0.02742
121s [14]	validation_0-logloss:0.02444
121s [15]	validation_0-logloss:0.02208
121s [16]	validation_0-logloss:0.01993
121s [17]	validation_0-logloss:0.01819
121s [18]	validation_0-logloss:0.01676
121s [19]	validation_0-logloss:0.01575
121s [20]	validation_0-logloss:0.01461
121s [21]	validation_0-logloss:0.01383
121s [22]	validation_0-logloss:0.01304
121s [23]	validation_0-logloss:0.01243
121s [24]	validation_0-logloss:0.01179
121s [25]	validation_0-logloss:0.01142
121s [26]	validation_0-logloss:0.01103
121s [27]	validation_0-logloss:0.01066
121s [28]	validation_0-logloss:0.01037
121s [29]	validation_0-logloss:0.00993
121s [30]	validation_0-logloss:0.00966
121s [31]	validation_0-logloss:0.00920
121s [32]	validation_0-logloss:0.00900
121s [33]	validation_0-logloss:0.00876
121s [34]	validation_0-logloss:0.00852
121s [35]	validation_0-logloss:0.00835
121s [36]	validation_0-logloss:0.00810
121s [37]	validation_0-logloss:0.00791
121s [38]	validation_0-logloss:0.00764
121s [39]	validation_0-logloss:0.00753
121s [40]	validation_0-logloss:0.00739
121s [41]	validation_0-logloss:0.00723
121s [42]	validation_0-logloss:0.00706
121s [43]	validation_0-logloss:0.00695
121s [44]	validation_0-logloss:0.00688
121s [45]	validation_0-logloss:0.00671
121s [46]	validation_0-logloss:0.00662
121s [47]	validation_0-logloss:0.00650
121s [48]	validation_0-logloss:0.00637
121s [49]	validation_0-logloss:0.00628
121s [50]	validation_0-logloss:0.00623
121s [51]	validation_0-logloss:0.00618
121s [52]	validation_0-logloss:0.00614
121s [53]	validation_0-logloss:0.00609
121s [54]	validation_0-logloss:0.00600
121s [55]	validation_0-logloss:0.00590
121s [56]	validation_0-logloss:0.00582
121s [57]	validation_0-logloss:0.00578
121s [58]	validation_0-logloss:0.00570
121s [59]	validation_0-logloss:0.00566
121s [60]	validation_0-logloss:0.00563
121s [61]	validation_0-logloss:0.00559
121s [62]	validation_0-logloss:0.00556
121s [63]	validation_0-logloss:0.00553
121s [64]	validation_0-logloss:0.00549
121s [65]	validation_0-logloss:0.00546
121s [66]	validation_0-logloss:0.00543
121s [67]	validation_0-logloss:0.00540
121s [68]	validation_0-logloss:0.00537
121s [69]	validation_0-logloss:0.00534
121s [70]	validation_0-logloss:0.00531
121s [71]	validation_0-logloss:0.00528
121s [72]	validation_0-logloss:0.00525
121s [73]	validation_0-logloss:0.00523
121s [74]	validation_0-logloss:0.00520
121s [75]	validation_0-logloss:0.00517
121s [76]	validation_0-logloss:0.00515
121s [77]	validation_0-logloss:0.00512
121s [78]	validation_0-logloss:0.00510
121s [79]	validation_0-logloss:0.00507
121s [80]	validation_0-logloss:0.00505
121s [81]	validation_0-logloss:0.00502
121s [82]	validation_0-logloss:0.00500
121s [83]	validation_0-logloss:0.00498
121s [84]	validation_0-logloss:0.00496
121s [85]	validation_0-logloss:0.00493
121s [86]	validation_0-logloss:0.00491
121s [87]	validation_0-logloss:0.00489
121s [88]	validation_0-logloss:0.00486
121s [89]	validation_0-logloss:0.00484
121s [90]	validation_0-logloss:0.00482
121s [91]	validation_0-logloss:0.00480
121s [92]	validation_0-logloss:0.00478
121s [93]	validation_0-logloss:0.00476
121s [94]	validation_0-logloss:0.00474
121s [95]	validation_0-logloss:0.00472
121s [96]	validation_0-logloss:0.00470
121s [97]	validation_0-logloss:0.00468
121s [98]	validation_0-logloss:0.00466
121s [99]	validation_0-logloss:0.00464
121s [100]	validation_0-logloss:0.00463
121s [101]	validation_0-logloss:0.00461
121s [102]	validation_0-logloss:0.00459
121s [103]	validation_0-logloss:0.00457
121s [104]	validation_0-logloss:0.00456
121s [105]	validation_0-logloss:0.00454
121s [106]	validation_0-logloss:0.00452
121s [107]	validation_0-logloss:0.00451
121s [108]	validation_0-logloss:0.00449
121s [109]	validation_0-logloss:0.00448
121s [110]	validation_0-logloss:0.00446
121s [111]	validation_0-logloss:0.00444
121s [112]	validation_0-logloss:0.00443
121s [113]	validation_0-logloss:0.00441
121s [114]	validation_0-logloss:0.00440
121s [115]	validation_0-logloss:0.00438
121s [116]	validation_0-logloss:0.00437
121s [117]	validation_0-logloss:0.00435
121s [118]	validation_0-logloss:0.00434
121s [119]	validation_0-logloss:0.00433
121s [120]	validation_0-logloss:0.00431
121s [121]	validation_0-logloss:0.00430
121s [122]	validation_0-logloss:0.00429
121s [123]	validation_0-logloss:0.00427
121s [124]	validation_0-logloss:0.00426
121s [125]	validation_0-logloss:0.00425
121s [126]	validation_0-logloss:0.00423
121s [127]	validation_0-logloss:0.00422
121s [0]	validation_0-logloss:0.00421
121s [1]	validation_0-logloss:0.00420
121s [2]	validation_0-logloss:0.00419
121s [3]	validation_0-logloss:0.00417
121s [4]	validation_0-logloss:0.00416
121s [5]	validation_0-logloss:0.00415
121s [6]	validation_0-logloss:0.00414
121s [7]	validation_0-logloss:0.00413
121s [8]	validation_0-logloss:0.00412
121s [9]	validation_0-logloss:0.00411
121s [10]	validation_0-logloss:0.00410
121s [11]	validation_0-logloss:0.00409
121s [12]	validation_0-logloss:0.00408
121s [13]	validation_0-logloss:0.00407
121s [14]	validation_0-logloss:0.00406
121s [15]	validation_0-logloss:0.00405
121s [16]	validation_0-logloss:0.00404
121s [17]	validation_0-logloss:0.00403
121s [18]	validation_0-logloss:0.00402
121s [19]	validation_0-logloss:0.00401
121s [20]	validation_0-logloss:0.00400
121s [21]	validation_0-logloss:0.00399
121s [22]	validation_0-logloss:0.00398
121s [23]	validation_0-logloss:0.00397
121s [24]	validation_0-logloss:0.00396
121s [25]	validation_0-logloss:0.00396
121s [26]	validation_0-logloss:0.00395
121s [27]	validation_0-logloss:0.00394
121s [28]	validation_0-logloss:0.00393
121s [29]	validation_0-logloss:0.00392
121s [30]	validation_0-logloss:0.00391
121s [31]	validation_0-logloss:0.00391
121s [32]	validation_0-logloss:0.00390
121s [33]	validation_0-logloss:0.00389
121s [34]	validation_0-logloss:0.00388
121s [35]	validation_0-logloss:0.00388
121s [36]	validation_0-logloss:0.00387
121s [37]	validation_0-logloss:0.00386
121s [38]	validation_0-logloss:0.00385
121s [39]	validation_0-logloss:0.00385
121s [40]	validation_0-logloss:0.00384
121s [41]	validation_0-logloss:0.00383
121s [42]	validation_0-logloss:0.00383
121s [43]	validation_0-logloss:0.00382
121s [44]	validation_0-logloss:0.00381
121s [45]	validation_0-logloss:0.00381
121s [46]	validation_0-logloss:0.00380
121s [47]	validation_0-logloss:0.00380
121s [48]	validation_0-logloss:0.00379
121s [49]	validation_0-logloss:0.00379
121s [50]	validation_0-logloss:0.00378
121s [51]	validation_0-logloss:0.00378
121s [52]	validation_0-logloss:0.00377
121s [53]	validation_0-logloss:0.00377
121s [54]	validation_0-logloss:0.00376
121s [55]	validation_0-logloss:0.00376
121s [56]	validation_0-logloss:0.00375
121s [57]	validation_0-logloss:0.00375
121s [58]	validation_0-logloss:0.00374
121s [59]	validation_0-logloss:0.00374
121s [60]	validation_0-logloss:0.00373
121s [61]	validation_0-logloss:0.00373
121s [62]	validation_0-logloss:0.00373
121s [63]	validation_0-logloss:0.00372
121s [64]	validation_0-logloss:0.00372
121s [65]	validation_0-logloss:0.00372
121s [66]	validation_0-logloss:0.00371
121s [67]	validation_0-logloss:0.00371
121s [68]	validation_0-logloss:0.00371
121s [69]	validation_0-logloss:0.00371
121s [70]	validation_0-logloss:0.00371
121s Total boosted rounds: 195
121s [0]	validation_0-logloss:0.43281
121s [1]	validation_0-logloss:0.30816
121s [2]	validation_0-logloss:0.22816
121s [3]	validation_0-logloss:0.17470
121s [4]	validation_0-logloss:0.13438
121s [5]	validation_0-logloss:0.10538
121s [6]	validation_0-logloss:0.08467
121s [7]	validation_0-logloss:0.06909
121s [8]	validation_0-logloss:0.05766
121s [9]	validation_0-logloss:0.04842
121s [10]	validation_0-logloss:0.04121
121s [11]	validation_0-logloss:0.03545
121s [12]	validation_0-logloss:0.03077
121s [13]	validation_0-logloss:0.02742
121s [14]	validation_0-logloss:0.02444
121s [15]	validation_0-logloss:0.02208
121s [16]	validation_0-logloss:0.01993
121s [17]	validation_0-logloss:0.01819
121s [18]	validation_0-logloss:0.01676
121s [19]	validation_0-logloss:0.01575
121s [20]	validation_0-logloss:0.01461
121s [21]	validation_0-logloss:0.01383
121s [22]	validation_0-logloss:0.01304
121s [23]	validation_0-logloss:0.01243
121s [24]	validation_0-logloss:0.01179
121s [25]	validation_0-logloss:0.01142
121s [26]	validation_0-logloss:0.01103
121s [27]	validation_0-logloss:0.01066
121s [28]	validation_0-logloss:0.01037
121s [29]	validation_0-logloss:0.00993
121s [30]	validation_0-logloss:0.00966
121s [31]	validation_0-logloss:0.00920
121s [32]	validation_0-logloss:0.00900
121s [33]	validation_0-logloss:0.00876
121s [34]	validation_0-logloss:0.00852
121s [35]	validation_0-logloss:0.00835
121s [36]	validation_0-logloss:0.00810
121s [37]	validation_0-logloss:0.00791
121s [38]	validation_0-logloss:0.00764
121s [39]	validation_0-logloss:0.00753
121s [40]	validation_0-logloss:0.00739
121s [41]	validation_0-logloss:0.00723
121s [42]	validation_0-logloss:0.00706
121s [43]	validation_0-logloss:0.00695
121s [44]	validation_0-logloss:0.00688
121s [45]	validation_0-logloss:0.00671
121s [46]	validation_0-logloss:0.00662
121s [47]	validation_0-logloss:0.00650
121s [48]	validation_0-logloss:0.00637
121s [49]	validation_0-logloss:0.00628
121s [50]	validation_0-logloss:0.00623
121s [51]	validation_0-logloss:0.00618
121s [52]	validation_0-logloss:0.00614
121s [53]	validation_0-logloss:0.00609
121s [54]	validation_0-logloss:0.00600
121s [55]	validation_0-logloss:0.00590
121s [56]	validation_0-logloss:0.00582
121s [57]	validation_0-logloss:0.00578
121s [58]	validation_0-logloss:0.00570
121s [59]	validation_0-logloss:0.00566
121s [60]	validation_0-logloss:0.00563
121s [61]	validation_0-logloss:0.00559
121s [62]	validation_0-logloss:0.00556
121s [63]	validation_0-logloss:0.00553
121s [64]	validation_0-logloss:0.00549
121s [65]	validation_0-logloss:0.00546
121s [66]	validation_0-logloss:0.00543
121s [67]	validation_0-logloss:0.00540
121s [68]	validation_0-logloss:0.00537
121s [69]	validation_0-logloss:0.00534
121s [70]	validation_0-logloss:0.00531
121s [71]	validation_0-logloss:0.00528
121s [72]	validation_0-logloss:0.00525
121s [73]	validation_0-logloss:0.00523
121s [74]	validation_0-logloss:0.00520
121s [75]	validation_0-logloss:0.00517
121s [76]	validation_0-logloss:0.00515
121s [77]	validation_0-logloss:0.00512
121s [78]	validation_0-logloss:0.00510
121s [79]	validation_0-logloss:0.00507
121s [80]	validation_0-logloss:0.00505
121s [81]	validation_0-logloss:0.00502
121s [82]	validation_0-logloss:0.00500
121s [83]	validation_0-logloss:0.00498
121s [84]	validation_0-logloss:0.00496
121s [85]	validation_0-logloss:0.00493
121s [86]	validation_0-logloss:0.00491
121s [87]	validation_0-logloss:0.00489
121s [88]	validation_0-logloss:0.00486
121s [89]	validation_0-logloss:0.00484
121s [90]	validation_0-logloss:0.00482
121s [91]	validation_0-logloss:0.00480
121s [92]	validation_0-logloss:0.00478
121s [93]	validation_0-logloss:0.00476
121s [94]	validation_0-logloss:0.00474
121s [95]	validation_0-logloss:0.00472
121s [96]	validation_0-logloss:0.00470
121s [97]	validation_0-logloss:0.00468
121s [98]	validation_0-logloss:0.00466
121s [99]	validation_0-logloss:0.00464
121s [100]	validation_0-logloss:0.00463
121s [101]	validation_0-logloss:0.00461
121s [102]	validation_0-logloss:0.00459
121s [103]	validation_0-logloss:0.00457
121s [104]	validation_0-logloss:0.00456
121s [105]	validation_0-logloss:0.00454
121s [106]	validation_0-logloss:0.00452
121s [107]	validation_0-logloss:0.00451
121s [108]	validation_0-logloss:0.00449
121s [109]	validation_0-logloss:0.00448
121s [110]	validation_0-logloss:0.00446
121s [111]	validation_0-logloss:0.00444
121s [112]	validation_0-logloss:0.00443
121s [113]	validation_0-logloss:0.00441
121s [114]	validation_0-logloss:0.00440
121s [115]	validation_0-logloss:0.00438
121s [116]	validation_0-logloss:0.00437
121s [117]	validation_0-logloss:0.00435
121s [118]	validation_0-logloss:0.00434
121s [119]	validation_0-logloss:0.00433
121s [120]	validation_0-logloss:0.00431
121s [121]	validation_0-logloss:0.00430
121s [122]	validation_0-logloss:0.00429
121s [123]	validation_0-logloss:0.00427
121s [124]	validation_0-logloss:0.00426
121s [125]	validation_0-logloss:0.00425
121s [126]	validation_0-logloss:0.00423
121s [127]	validation_0-logloss:0.00422
121s Total boosted rounds: 128
121s [0]	validation_0-logloss:0.43281
121s [1]	validation_0-logloss:0.30816
121s [2]	validation_0-logloss:0.22816
121s [3]	validation_0-logloss:0.17470
121s [4]	validation_0-logloss:0.13438
121s [5]	validation_0-logloss:0.10538
121s [6]	validation_0-logloss:0.08467
121s [7]	validation_0-logloss:0.06909
121s [8]	validation_0-logloss:0.05766
121s [9]	validation_0-logloss:0.04842
121s [10]	validation_0-logloss:0.04121
121s [11]	validation_0-logloss:0.03545
121s [12]	validation_0-logloss:0.03077
121s [13]	validation_0-logloss:0.02742
121s [14]	validation_0-logloss:0.02444
121s [15]	validation_0-logloss:0.02208
121s [16]	validation_0-logloss:0.01993
121s [17]	validation_0-logloss:0.01819
121s [18]	validation_0-logloss:0.01676
121s [19]	validation_0-logloss:0.01575
121s [20]	validation_0-logloss:0.01461
121s [21]	validation_0-logloss:0.01383
121s [22]	validation_0-logloss:0.01304
121s [23]	validation_0-logloss:0.01243
121s [24]	validation_0-logloss:0.01179
121s [25]	validation_0-logloss:0.01142
121s [26]	validation_0-logloss:0.01103
121s [27]	validation_0-logloss:0.01066
121s [28]	validation_0-logloss:0.01037
121s [29]	validation_0-logloss:0.00993
121s [30]	validation_0-logloss:0.00966
121s [31]	validation_0-logloss:0.00920
121s [0]	validation_0-logloss:0.00900
121s [1]	validation_0-logloss:0.00876
121s [2]	validation_0-logloss:0.00852
121s [3]	validation_0-logloss:0.00835
121s [4]	validation_0-logloss:0.00810
121s [5]	validation_0-logloss:0.00791
121s [6]	validation_0-logloss:0.00764
121s [7]	validation_0-logloss:0.00753
121s [8]	validation_0-logloss:0.00739
121s [9]	validation_0-logloss:0.00723
121s [10]	validation_0-logloss:0.00706
121s [11]	validation_0-logloss:0.00695
121s [12]	validation_0-logloss:0.00688
121s [13]	validation_0-logloss:0.00671
121s [14]	validation_0-logloss:0.00662
121s [15]	validation_0-logloss:0.00650
121s [16]	validation_0-logloss:0.00637
121s [17]	validation_0-logloss:0.00628
121s [18]	validation_0-logloss:0.00623
121s [19]	validation_0-logloss:0.00618
121s [20]	validation_0-logloss:0.00614
121s [21]	validation_0-logloss:0.00609
121s [22]	validation_0-logloss:0.00600
121s [23]	validation_0-logloss:0.00590
121s [24]	validation_0-logloss:0.00582
121s [25]	validation_0-logloss:0.00578
121s [26]	validation_0-logloss:0.00570
121s [27]	validation_0-logloss:0.00566
121s [28]	validation_0-logloss:0.00563
121s [29]	validation_0-logloss:0.00559
121s [30]	validation_0-logloss:0.00556
121s [31]	validation_0-logloss:0.00553
121s [32]	validation_0-logloss:0.00549
121s [33]	validation_0-logloss:0.00546
121s [34]	validation_0-logloss:0.00543
121s [35]	validation_0-logloss:0.00540
121s [36]	validation_0-logloss:0.00537
121s [37]	validation_0-logloss:0.00534
121s [38]	validation_0-logloss:0.00531
121s [39]	validation_0-logloss:0.00528
121s [40]	validation_0-logloss:0.00525
121s [41]	validation_0-logloss:0.00523
121s [42]	validation_0-logloss:0.00520
121s [43]	validation_0-logloss:0.00517
121s [44]	validation_0-logloss:0.00515
121s [45]	validation_0-logloss:0.00512
121s [46]	validation_0-logloss:0.00510
121s [47]	validation_0-logloss:0.00507
121s [48]	validation_0-logloss:0.00505
121s [49]	validation_0-logloss:0.00502
121s [50]	validation_0-logloss:0.00500
121s [51]	validation_0-logloss:0.00498
121s [52]	validation_0-logloss:0.00496
121s [53]	validation_0-logloss:0.00493
121s [54]	validation_0-logloss:0.00491
121s [55]	validation_0-logloss:0.00489
121s [56]	validation_0-logloss:0.00486
121s [57]	validation_0-logloss:0.00484
121s [58]	validation_0-logloss:0.00482
121s [59]	validation_0-logloss:0.00480
121s [60]	validation_0-logloss:0.00478
121s [61]	validation_0-logloss:0.00476
121s [62]	validation_0-logloss:0.00474
121s [63]	validation_0-logloss:0.00472
121s [64]	validation_0-logloss:0.00470
121s [65]	validation_0-logloss:0.00468
121s [66]	validation_0-logloss:0.00466
121s [67]	validation_0-logloss:0.00464
121s [68]	validation_0-logloss:0.00463
121s [69]	validation_0-logloss:0.00461
121s [70]	validation_0-logloss:0.00459
121s [71]	validation_0-logloss:0.00457
121s [72]	validation_0-logloss:0.00456
121s [73]	validation_0-logloss:0.00454
121s [74]	validation_0-logloss:0.00452
121s [75]	validation_0-logloss:0.00451
121s [76]	validation_0-logloss:0.00449
121s [77]	validation_0-logloss:0.00448
121s [78]	validation_0-logloss:0.00446
121s [79]	validation_0-logloss:0.00444
121s [80]	validation_0-logloss:0.00443
121s [81]	validation_0-logloss:0.00441
121s [82]	validation_0-logloss:0.00440
121s [83]	validation_0-logloss:0.00438
121s [84]	validation_0-logloss:0.00437
121s [85]	validation_0-logloss:0.00435
121s [86]	validation_0-logloss:0.00434
121s [87]	validation_0-logloss:0.00433
121s [88]	validation_0-logloss:0.00431
121s [89]	validation_0-logloss:0.00430
121s [90]	validation_0-logloss:0.00429
121s [91]	validation_0-logloss:0.00427
121s [92]	validation_0-logloss:0.00426
121s [93]	validation_0-logloss:0.00425
121s [94]	validation_0-logloss:0.00423
121s [95]	validation_0-logloss:0.00422
121s Total boosted rounds: 128
121s [0]	validation_0-logloss:0.43281
121s [1]	validation_0-logloss:0.30816
121s [2]	validation_0-logloss:0.22816
121s [3]	validation_0-logloss:0.17470
121s [4]	validation_0-logloss:0.13438
121s [5]	validation_0-logloss:0.10538
121s [6]	validation_0-logloss:0.08467
121s [7]	validation_0-logloss:0.06909
121s [8]	validation_0-logloss:0.05766
121s [9]	validation_0-logloss:0.04842
121s [10]	validation_0-logloss:0.04121
121s [11]	validation_0-logloss:0.03545
121s [12]	validation_0-logloss:0.03077
121s [13]	validation_0-logloss:0.02742
121s [14]	validation_0-logloss:0.02444
121s [15]	validation_0-logloss:0.02208
121s [16]	validation_0-logloss:0.01993
121s [17]	validation_0-logloss:0.01819
121s [18]	validation_0-logloss:0.01676
121s [19]	validation_0-logloss:0.01575
121s [20]	validation_0-logloss:0.01461
121s [21]	validation_0-logloss:0.01383
121s [22]	validation_0-logloss:0.01304
121s [23]	validation_0-logloss:0.01243
121s [24]	validation_0-logloss:0.01179
121s [25]	validation_0-logloss:0.01142
121s [26]	validation_0-logloss:0.01103
121s [27]	validation_0-logloss:0.01066
121s [28]	validation_0-logloss:0.01037
121s [29]	validation_0-logloss:0.00993
121s [30]	validation_0-logloss:0.00966
121s [31]	validation_0-logloss:0.00920
121s [32]	validation_0-logloss:0.00900
121s [33]	validation_0-logloss:0.00876
121s [34]	validation_0-logloss:0.00852
121s [35]	validation_0-logloss:0.00835
121s [36]	validation_0-logloss:0.00810
121s [37]	validation_0-logloss:0.00791
121s [38]	validation_0-logloss:0.00764
121s [39]	validation_0-logloss:0.00753
121s [40]	validation_0-logloss:0.00739
121s [41]	validation_0-logloss:0.00723
121s [42]	validation_0-logloss:0.00706
121s [43]	validation_0-logloss:0.00695
121s [44]	validation_0-logloss:0.00688
121s [45]	validation_0-logloss:0.00671
121s [46]	validation_0-logloss:0.00662
121s [47]	validation_0-logloss:0.00650
121s [48]	validation_0-logloss:0.00637
121s [49]	validation_0-logloss:0.00628
121s [50]	validation_0-logloss:0.00623
121s [51]	validation_0-logloss:0.00618
121s [52]	validation_0-logloss:0.00614
121s [53]	validation_0-logloss:0.00609
121s [54]	validation_0-logloss:0.00600
121s [55]	validation_0-logloss:0.00590
121s [56]	validation_0-logloss:0.00582
121s [57]	validation_0-logloss:0.00578
121s [58]	validation_0-logloss:0.00570
121s [59]	validation_0-logloss:0.00566
121s [60]	validation_0-logloss:0.00563
121s [61]	validation_0-logloss:0.00559
121s [62]	validation_0-logloss:0.00556
121s [63]	validation_0-logloss:0.00553
121s [64]	validation_0-logloss:0.00549
121s [65]	validation_0-logloss:0.00546
121s [66]	validation_0-logloss:0.00543
121s [67]	validation_0-logloss:0.00540
121s [68]	validation_0-logloss:0.00537
121s [69]	validation_0-logloss:0.00534
121s [70]	validation_0-logloss:0.00531
121s [71]	validation_0-logloss:0.00528
121s [72]	validation_0-logloss:0.00525
121s [73]	validation_0-logloss:0.00523
121s [74]	validation_0-logloss:0.00520
121s [75]	validation_0-logloss:0.00517
121s [76]	validation_0-logloss:0.00515
121s [77]	validation_0-logloss:0.00512
121s [78]	validation_0-logloss:0.00510
121s [79]	validation_0-logloss:0.00507
121s [80]	validation_0-logloss:0.00505
121s [81]	validation_0-logloss:0.00502
121s [82]	validation_0-logloss:0.00500
121s [83]	validation_0-logloss:0.00498
121s [84]	validation_0-logloss:0.00496
121s [85]	validation_0-logloss:0.00493
121s [86]	validation_0-logloss:0.00491
121s [87]	validation_0-logloss:0.00489
121s [88]	validation_0-logloss:0.00486
121s [89]	validation_0-logloss:0.00484
121s [90]	validation_0-logloss:0.00482
121s [91]	validation_0-logloss:0.00480
121s [92]	validation_0-logloss:0.00478
121s [93]	validation_0-logloss:0.00476
121s [94]	validation_0-logloss:0.00474
121s [95]	validation_0-logloss:0.00472
121s [96]	validation_0-logloss:0.00470
121s [97]	validation_0-logloss:0.00468
121s [98]	validation_0-logloss:0.00466
121s [99]	validation_0-logloss:0.00464
121s [100]	validation_0-logloss:0.00463
121s [101]	validation_0-logloss:0.00461
121s [102]	validation_0-logloss:0.00459
121s [103]	validation_0-logloss:0.00457
121s [104]	validation_0-logloss:0.00456
121s [105]	validation_0-logloss:0.00454
121s [106]	validation_0-logloss:0.00452
121s [107]	validation_0-logloss:0.00451
121s [108]	validation_0-logloss:0.00449
121s [109]	validation_0-logloss:0.00448
121s [110]	validation_0-logloss:0.00446
121s [111]	validation_0-logloss:0.00444
121s [112]	validation_0-logloss:0.00443
121s [113]	validation_0-logloss:0.00441
121s [114]	validation_0-logloss:0.00440
121s [115]	validation_0-logloss:0.00438
121s [116]	validation_0-logloss:0.00437
121s [117]	validation_0-logloss:0.00435
121s [118]	validation_0-logloss:0.00434
121s [119]	validation_0-logloss:0.00433
121s [120]	validation_0-logloss:0.00431
121s [121]	validation_0-logloss:0.00430
121s [122]	validation_0-logloss:0.00429
121s [123]	validation_0-logloss:0.00427
121s [124]	validation_0-logloss:0.00426
121s [125]	validation_0-logloss:0.00425
121s [126]	validation_0-logloss:0.00423
121s [127]	validation_0-logloss:0.00422
121s Total boosted rounds: 128
121s [0]	validation_0-logloss:0.43281
121s [1]	validation_0-logloss:0.30816
121s [2]	validation_0-logloss:0.22816
121s [3]	validation_0-logloss:0.17470
121s [4]	validation_0-logloss:0.13438
121s [5]	validation_0-logloss:0.10538
121s [6]	validation_0-logloss:0.08467
121s [7]	validation_0-logloss:0.06909
121s [8]	validation_0-logloss:0.05766
121s [9]	validation_0-logloss:0.04842
121s [10]	validation_0-logloss:0.04121
121s [11]	validation_0-logloss:0.03545
121s [12]	validation_0-logloss:0.03077
121s [13]	validation_0-logloss:0.02742
121s [14]	validation_0-logloss:0.02444
121s [15]	validation_0-logloss:0.02208
121s [16]	validation_0-logloss:0.01993
121s [17]	validation_0-logloss:0.01819
121s [18]	validation_0-logloss:0.01676
121s [19]	validation_0-logloss:0.01575
121s [20]	validation_0-logloss:0.01461
121s [21]	validation_0-logloss:0.01383
121s [22]	validation_0-logloss:0.01304
121s [23]	validation_0-logloss:0.01243
121s [24]	validation_0-logloss:0.01179
121s [25]	validation_0-logloss:0.01142
121s [26]	validation_0-logloss:0.01103
121s [27]	validation_0-logloss:0.01066
121s [28]	validation_0-logloss:0.01037
121s [29]	validation_0-logloss:0.00993
121s [30]	validation_0-logloss:0.00966
121s [31]	validation_0-logloss:0.00920
121s [0]	validation_0-logloss:0.00900
121s [1]	validation_0-logloss:0.00876
121s [2]	validation_0-logloss:0.00852
121s [3]	validation_0-logloss:0.00835
121s [4]	validation_0-logloss:0.00810
121s [5]	validation_0-logloss:0.00791
121s [6]	validation_0-logloss:0.00764
121s [7]	validation_0-logloss:0.00753
121s [8]	validation_0-logloss:0.00739
121s [9]	validation_0-logloss:0.00723
121s [10]	validation_0-logloss:0.00706
121s [11]	validation_0-logloss:0.00695
121s [12]	validation_0-logloss:0.00688
121s [13]	validation_0-logloss:0.00671
121s [14]	validation_0-logloss:0.00662
121s [15]	validation_0-logloss:0.00650
121s [16]	validation_0-logloss:0.00637
121s [17]	validation_0-logloss:0.00628
121s [18]	validation_0-logloss:0.00623
121s [19]	validation_0-logloss:0.00618
121s [20]	validation_0-logloss:0.00614
121s [21]	validation_0-logloss:0.00609
121s [22]	validation_0-logloss:0.00600
121s [23]	validation_0-logloss:0.00590
121s [24]	validation_0-logloss:0.00582
121s [25]	validation_0-logloss:0.00578
121s [26]	validation_0-logloss:0.00570
121s [27]	validation_0-logloss:0.00566
121s [28]	validation_0-logloss:0.00563
121s [29]	validation_0-logloss:0.00559
121s [30]	validation_0-logloss:0.00556
121s [31]	validation_0-logloss:0.00553
121s [32]	validation_0-logloss:0.00549
121s [33]	validation_0-logloss:0.00546
121s [34]	validation_0-logloss:0.00543
121s [35]	validation_0-logloss:0.00540
121s [36]	validation_0-logloss:0.00537
121s [37]	validation_0-logloss:0.00534
121s [38]	validation_0-logloss:0.00531
121s [39]	validation_0-logloss:0.00528
121s [40]	validation_0-logloss:0.00525
121s [41]	validation_0-logloss:0.00523
121s [42]	validation_0-logloss:0.00520
121s [43]	validation_0-logloss:0.00517
121s [44]	validation_0-logloss:0.00515
121s [45]	validation_0-logloss:0.00512
121s [46]	validation_0-logloss:0.00510
121s [47]	validation_0-logloss:0.00507
121s [48]	validation_0-logloss:0.00505
121s [49]	validation_0-logloss:0.00502
121s [50]	validation_0-logloss:0.00500
121s [51]	validation_0-logloss:0.00498
121s [52]	validation_0-logloss:0.00496
121s [53]	validation_0-logloss:0.00493
121s [54]	validation_0-logloss:0.00491
121s [55]	validation_0-logloss:0.00489
121s [56]	validation_0-logloss:0.00486
121s [57]	validation_0-logloss:0.00484
121s [58]	validation_0-logloss:0.00482
121s [59]	validation_0-logloss:0.00480
121s [60]	validation_0-logloss:0.00478
121s [61]	validation_0-logloss:0.00476
121s [62]	validation_0-logloss:0.00474
121s [63]	validation_0-logloss:0.00472
121s [64]	validation_0-logloss:0.00470
121s [65]	validation_0-logloss:0.00468
121s [66]	validation_0-logloss:0.00466
121s [67]	validation_0-logloss:0.00464
121s [68]	validation_0-logloss:0.00463
121s [69]	validation_0-logloss:0.00461
121s [70]	validation_0-logloss:0.00459
121s [71]	validation_0-logloss:0.00457
121s [72]	validation_0-logloss:0.00456
121s [73]	validation_0-logloss:0.00454
121s [74]	validation_0-logloss:0.00452
121s [75]	validation_0-logloss:0.00451
121s [76]	validation_0-logloss:0.00449
121s [77]	validation_0-logloss:0.00448
121s [78]	validation_0-logloss:0.00446
121s [79]	validation_0-logloss:0.00444
121s [80]	validation_0-logloss:0.00443
121s [81]	validation_0-logloss:0.00441
121s [82]	validation_0-logloss:0.00440
121s [83]	validation_0-logloss:0.00438
121s [84]	validation_0-logloss:0.00437
121s [85]	validation_0-logloss:0.00435
121s [86]	validation_0-logloss:0.00434
121s [87]	validation_0-logloss:0.00433
121s [88]	validation_0-logloss:0.00431
121s [89]	validation_0-logloss:0.00430
121s [90]	validation_0-logloss:0.00429
121s [91]	validation_0-logloss:0.00427
121s [92]	validation_0-logloss:0.00426
121s [93]	validation_0-logloss:0.00425
121s [94]	validation_0-logloss:0.00423
121s [95]	validation_0-logloss:0.00422
121s Total boosted rounds: 128
122s ==========================================
122s Running case cross_validation.py...
122s running cross validation
122s [0]	train-error:0.05067+0.00920	test-error:0.05573+0.01589
122s [1]	train-error:0.02130+0.00206	test-error:0.02119+0.00365
122s running cross validation, disable standard deviation display
122s [0]	train-error:0.05067	test-error:0.05573
122s [1]	train-error:0.02130	test-error:0.02119
122s [2]	train-error:0.00994	test-error:0.00998
122s [3]	train-error:0.01413	test-error:0.01443
122s [4]	train-error:0.00599	test-error:0.00630
122s [5]	train-error:0.00203	test-error:0.00169
122s [6]	train-error:0.00123	test-error:0.00123
122s [7]	train-error:0.00123	test-error:0.00123
122s [8]	train-error:0.00092	test-error:0.00123
122s [9]	train-error:0.00061	test-error:0.00123
122s /usr/lib/python3/dist-packages/xgboost/training.py:38: UserWarning: `feval` is deprecated, use `custom_metric` instead.  They have different behavior when custom objective is also used.See https://xgboost.readthedocs.io/en/latest/tutorials/custom_metric_obj.html for details on the `custom_metric`.
122s   warnings.warn(
122s    train-error-mean  train-error-std  test-error-mean  test-error-std
122s 0          0.050668         0.009201         0.055732        0.015889
122s 1          0.021303         0.002055         0.021188        0.003653
122s 2          0.009942         0.006076         0.009979        0.004828
122s 3          0.014126         0.001706         0.014433        0.003517
122s 4          0.005988         0.001878         0.006295        0.003123
122s 5          0.002034         0.001469         0.001689        0.000574
122s 6          0.001228         0.000260         0.001228        0.001041
122s running cross validation, with preprocessing function
122s running cross validation, with customized loss function
123s ==========================================
123s Running case custom_rmsle.py...
123s /tmp/autopkgtest.IKRoi1/build.Lbj/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s'
123s   :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}`
124s Squared Error
124s [0]	dtrain-rmse:682.95908	dtest-rmse:745.95555
124s [1]	dtrain-rmse:627.66199	dtest-rmse:751.49583
124s [2]	dtrain-rmse:596.74396	dtest-rmse:766.33054
124s [3]	dtrain-rmse:555.92371	dtest-rmse:776.92703
124s [4]	dtrain-rmse:519.58613	dtest-rmse:789.74145
124s [5]	dtrain-rmse:501.26007	dtest-rmse:805.22881
124s [6]	dtrain-rmse:453.81757	dtest-rmse:810.70817
124s [7]	dtrain-rmse:423.51474	dtest-rmse:822.61798
124s [8]	dtrain-rmse:383.34479	dtest-rmse:826.43243
124s [9]	dtrain-rmse:371.08179	dtest-rmse:827.23674
124s [10]	dtrain-rmse:353.11776	dtest-rmse:828.84174
124s [11]	dtrain-rmse:316.42149	dtest-rmse:832.98904
124s [12]	dtrain-rmse:300.24359	dtest-rmse:834.90637
124s [13]	dtrain-rmse:285.81935	dtest-rmse:836.55001
124s [14]	dtrain-rmse:278.47432	dtest-rmse:838.29965
124s [15]	dtrain-rmse:266.08310	dtest-rmse:840.16158
124s [16]	dtrain-rmse:261.48875	dtest-rmse:841.45332
124s [17]	dtrain-rmse:253.15765	dtest-rmse:841.96773
124s [18]	dtrain-rmse:246.41335	dtest-rmse:842.26433
124s [19]	dtrain-rmse:242.90377	dtest-rmse:843.24280
124s Finished Squared Error in: 0.04697251319885254 
124s 
124s Squared Log Error
124s [0]	dtrain-rmsle:1.31939	dtest-rmsle:1.26056
124s [1]	dtrain-rmsle:1.22093	dtest-rmsle:1.16061
124s [2]	dtrain-rmsle:1.13670	dtest-rmsle:1.07549
124s [3]	dtrain-rmsle:1.06691	dtest-rmsle:1.00568
124s [4]	dtrain-rmsle:1.01079	dtest-rmsle:0.95190
124s [5]	dtrain-rmsle:0.96709	dtest-rmsle:0.91206
124s [6]	dtrain-rmsle:0.93453	dtest-rmsle:0.88458
124s [7]	dtrain-rmsle:0.90925	dtest-rmsle:0.86580
124s [8]	dtrain-rmsle:0.89139	dtest-rmsle:0.85326
124s [9]	dtrain-rmsle:0.87620	dtest-rmsle:0.84621
124s [10]	dtrain-rmsle:0.86538	dtest-rmsle:0.84136
124s [11]	dtrain-rmsle:0.85715	dtest-rmsle:0.83849
124s [12]	dtrain-rmsle:0.84866	dtest-rmsle:0.83767
124s [13]	dtrain-rmsle:0.84230	dtest-rmsle:0.83693
124s [14]	dtrain-rmsle:0.83639	dtest-rmsle:0.83785
124s [15]	dtrain-rmsle:0.83076	dtest-rmsle:0.83853
124s [16]	dtrain-rmsle:0.82671	dtest-rmsle:0.83887
124s [17]	dtrain-rmsle:0.82297	dtest-rmsle:0.83883
124s [18]	dtrain-rmsle:0.81919	dtest-rmsle:0.83945
124s [19]	dtrain-rmsle:0.81638	dtest-rmsle:0.83981
124s Finished Squared Log Error in: 0.037508249282836914
124s [0]	dtrain-PyRMSLE:1.37154	dtest-PyRMSLE:1.31491
124s [1]	dtrain-PyRMSLE:1.26642	dtest-PyRMSLE:1.20792
124s [2]	dtrain-PyRMSLE:1.17525	dtest-PyRMSLE:1.11539
124s [3]	dtrain-PyRMSLE:1.09848	dtest-PyRMSLE:1.03800
124s [4]	dtrain-PyRMSLE:1.03565	dtest-PyRMSLE:0.97673
124s [5]	dtrain-PyRMSLE:0.98595	dtest-PyRMSLE:0.93063
124s [6]	dtrain-PyRMSLE:0.94774	dtest-PyRMSLE:0.89723
124s [7]	dtrain-PyRMSLE:0.91977	dtest-PyRMSLE:0.87448
124s [8]	dtrain-PyRMSLE:0.89796	dtest-PyRMSLE:0.85932
124s [9]	dtrain-PyRMSLE:0.88141	dtest-PyRMSLE:0.85028
124s [10]	dtrain-PyRMSLE:0.86816	dtest-PyRMSLE:0.84450
124s [11]	dtrain-PyRMSLE:0.85991	dtest-PyRMSLE:0.84015
124s [12]	dtrain-PyRMSLE:0.85120	dtest-PyRMSLE:0.83900
124s [13]	dtrain-PyRMSLE:0.84384	dtest-PyRMSLE:0.83775
124s [14]	dtrain-PyRMSLE:0.83741	dtest-PyRMSLE:0.83732
124s [15]	dtrain-PyRMSLE:0.83253	dtest-PyRMSLE:0.83800
124s [16]	dtrain-PyRMSLE:0.82842	dtest-PyRMSLE:0.83827
124s [17]	dtrain-PyRMSLE:0.82535	dtest-PyRMSLE:0.83844
124s [18]	dtrain-PyRMSLE:0.82169	dtest-PyRMSLE:0.83953
124s [19]	dtrain-PyRMSLE:0.81857	dtest-PyRMSLE:0.84046
124s ==========================================
124s Running case custom_softmax.py...
125s /tmp/autopkgtest.IKRoi1/build.Lbj/src/demo/guide-python/custom_softmax.py:76: 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.)
125s   grad[r, c] = g
125s [0]	train-PyMError:0.14000
125s [1]	train-PyMError:0.00000
125s [2]	train-PyMError:0.01000
125s [3]	train-PyMError:0.00000
125s [4]	train-PyMError:0.00000
125s [5]	train-PyMError:0.00000
125s [6]	train-PyMError:0.00000
125s [7]	train-PyMError:0.00000
125s [8]	train-PyMError:0.00000
125s [9]	train-PyMError:0.00000
125s [0]	train-merror:0.14000
125s [1]	train-merror:0.00000
125s [2]	train-merror:0.01000
125s [3]	train-merror:0.00000
125s [4]	train-merror:0.00000
125s [5]	train-merror:0.00000
125s [6]	train-merror:0.00000
125s [7]	train-merror:0.00000
125s [8]	train-merror:0.00000
125s [9]	train-merror:0.00000
125s ==========================================
125s Running case evals_result.py...
126s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args.
126s   warnings.warn(msg, FutureWarning)
126s [0]	eval-logloss:0.47977	eval-error:0.04283	train-logloss:0.48196	train-error:0.04652
126s [1]	eval-logloss:0.35740	eval-error:0.04283	train-logloss:0.35919	train-error:0.04652
126s Access logloss metric directly from evals_result:
126s [0.4797663698279288, 0.35739665886839306]
126s 
126s Access metrics through a loop:
126s - eval
126s    - logloss
126s       - [0.4797663698279288, 0.35739665886839306]
126s    - error
126s       - [0.04283054003724395, 0.04283054003724395]
126s - train
126s    - logloss
126s       - [0.4819583435789261, 0.35919429156594646]
126s    - error
126s       - [0.04652233993551359, 0.04652233993551359]
126s 
126s Access complete dictionary:
126s {'eval': OrderedDict({'logloss': [0.4797663698279288, 0.35739665886839306], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.4819583435789261, 0.35919429156594646], 'error': [0.04652233993551359, 0.04652233993551359]})}
126s ==========================================
126s Running case external_memory.py...
127s [0]	Train-rmse:170.67905
127s [1]	Train-rmse:166.88130
127s [2]	Train-rmse:163.67251
127s [3]	Train-rmse:160.83024
127s [4]	Train-rmse:158.26351
127s [5]	Train-rmse:155.91569
127s [6]	Train-rmse:153.74380
127s [7]	Train-rmse:151.74583
127s [8]	Train-rmse:149.92400
127s [9]	Train-rmse:148.14658
127s ==========================================
127s Running case feature_weights.py...
128s [0]	d-rmse:1.00430
128s [1]	d-rmse:0.99638
128s [2]	d-rmse:0.98161
128s [3]	d-rmse:0.97086
128s [4]	d-rmse:0.96269
128s [5]	d-rmse:0.94829
128s [6]	d-rmse:0.93914
128s [7]	d-rmse:0.93187
128s [8]	d-rmse:0.92274
128s [9]	d-rmse:0.91749
128s ==========================================
128s Skip case gamma_regression.py...
128s ==========================================
128s Running case generalized_linear_model.py...
129s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args.
129s   warnings.warn(msg, FutureWarning)
129s [0]	eval-logloss:0.57157	train-logloss:0.56896
129s [1]	eval-logloss:0.53001	train-logloss:0.52640
129s [2]	eval-logloss:0.51437	train-logloss:0.51037
129s [3]	eval-logloss:0.50817	train-logloss:0.50402
129s error=0.118560
129s ==========================================
129s Running case individual_trees.py...
130s ==========================================
130s Skip case learning_to_rank.py...
130s ==========================================
130s Running case multioutput_regression.py...
132s [0]	validation_0-rmse:0.29417
132s [1]	validation_0-rmse:0.26360
132s [2]	validation_0-rmse:0.23619
132s [3]	validation_0-rmse:0.22068
132s [4]	validation_0-rmse:0.20681
132s [5]	validation_0-rmse:0.19295
132s [6]	validation_0-rmse:0.17849
132s [7]	validation_0-rmse:0.16562
132s [8]	validation_0-rmse:0.15492
132s [9]	validation_0-rmse:0.14493
132s [10]	validation_0-rmse:0.13892
132s [11]	validation_0-rmse:0.13172
132s [12]	validation_0-rmse:0.12253
132s [13]	validation_0-rmse:0.11744
132s [14]	validation_0-rmse:0.10981
132s [15]	validation_0-rmse:0.10176
132s [16]	validation_0-rmse:0.09476
132s [17]	validation_0-rmse:0.08947
132s [18]	validation_0-rmse:0.08399
132s [19]	validation_0-rmse:0.07952
132s [20]	validation_0-rmse:0.07442
132s [21]	validation_0-rmse:0.07048
132s [22]	validation_0-rmse:0.06749
132s [23]	validation_0-rmse:0.06505
132s [24]	validation_0-rmse:0.06060
132s [25]	validation_0-rmse:0.05737
132s [26]	validation_0-rmse:0.05539
132s [27]	validation_0-rmse:0.05326
132s [28]	validation_0-rmse:0.05026
132s [29]	validation_0-rmse:0.04692
132s [30]	validation_0-rmse:0.04501
132s [31]	validation_0-rmse:0.04175
132s [32]	validation_0-rmse:0.03970
132s [33]	validation_0-rmse:0.03683
132s [34]	validation_0-rmse:0.03430
132s [35]	validation_0-rmse:0.03219
132s [36]	validation_0-rmse:0.03058
132s [37]	validation_0-rmse:0.02914
132s [38]	validation_0-rmse:0.02778
132s [39]	validation_0-rmse:0.02611
132s [40]	validation_0-rmse:0.02504
132s [41]	validation_0-rmse:0.02322
132s [42]	validation_0-rmse:0.02212
132s [43]	validation_0-rmse:0.02129
132s [44]	validation_0-rmse:0.01992
132s [45]	validation_0-rmse:0.01930
132s [46]	validation_0-rmse:0.01864
132s [47]	validation_0-rmse:0.01744
132s [48]	validation_0-rmse:0.01618
132s [49]	validation_0-rmse:0.01521
132s [50]	validation_0-rmse:0.01428
132s [51]	validation_0-rmse:0.01346
132s [52]	validation_0-rmse:0.01276
132s [53]	validation_0-rmse:0.01209
132s [54]	validation_0-rmse:0.01154
132s [55]	validation_0-rmse:0.01094
132s [56]	validation_0-rmse:0.01023
132s [57]	validation_0-rmse:0.00979
132s [58]	validation_0-rmse:0.00934
132s [59]	validation_0-rmse:0.00879
132s [60]	validation_0-rmse:0.00845
132s [61]	validation_0-rmse:0.00822
132s [62]	validation_0-rmse:0.00790
132s [63]	validation_0-rmse:0.00742
132s [64]	validation_0-rmse:0.00711
132s [65]	validation_0-rmse:0.00682
132s [66]	validation_0-rmse:0.00644
132s [67]	validation_0-rmse:0.00615
132s [68]	validation_0-rmse:0.00577
132s [69]	validation_0-rmse:0.00553
132s [70]	validation_0-rmse:0.00514
132s [71]	validation_0-rmse:0.00493
132s [72]	validation_0-rmse:0.00468
132s [73]	validation_0-rmse:0.00443
132s [74]	validation_0-rmse:0.00426
132s [75]	validation_0-rmse:0.00389
132s [76]	validation_0-rmse:0.00362
132s [77]	validation_0-rmse:0.00340
132s [78]	validation_0-rmse:0.00323
132s [79]	validation_0-rmse:0.00303
132s [80]	validation_0-rmse:0.00288
132s [81]	validation_0-rmse:0.00275
132s [82]	validation_0-rmse:0.00264
132s [83]	validation_0-rmse:0.00253
132s [84]	validation_0-rmse:0.00240
132s [85]	validation_0-rmse:0.00230
132s [86]	validation_0-rmse:0.00219
132s [87]	validation_0-rmse:0.00208
132s [88]	validation_0-rmse:0.00198
132s [89]	validation_0-rmse:0.00191
132s [90]	validation_0-rmse:0.00183
132s [91]	validation_0-rmse:0.00173
132s [92]	validation_0-rmse:0.00169
132s [93]	validation_0-rmse:0.00161
132s [94]	validation_0-rmse:0.00154
132s [95]	validation_0-rmse:0.00148
132s [96]	validation_0-rmse:0.00145
132s [97]	validation_0-rmse:0.00141
132s [98]	validation_0-rmse:0.00138
132s [99]	validation_0-rmse:0.00134
132s [100]	validation_0-rmse:0.00131
132s [101]	validation_0-rmse:0.00128
132s [102]	validation_0-rmse:0.00122
132s [103]	validation_0-rmse:0.00121
132s [104]	validation_0-rmse:0.00119
132s [105]	validation_0-rmse:0.00117
132s [106]	validation_0-rmse:0.00113
132s [107]	validation_0-rmse:0.00111
132s [108]	validation_0-rmse:0.00108
132s [109]	validation_0-rmse:0.00104
132s [110]	validation_0-rmse:0.00104
132s [111]	validation_0-rmse:0.00102
132s [112]	validation_0-rmse:0.00100
132s [113]	validation_0-rmse:0.00100
132s [114]	validation_0-rmse:0.00098
132s [115]	validation_0-rmse:0.00098
132s [116]	validation_0-rmse:0.00097
132s [117]	validation_0-rmse:0.00097
132s [118]	validation_0-rmse:0.00097
132s [119]	validation_0-rmse:0.00097
132s [120]	validation_0-rmse:0.00097
132s [121]	validation_0-rmse:0.00096
132s [122]	validation_0-rmse:0.00096
132s [123]	validation_0-rmse:0.00095
132s [124]	validation_0-rmse:0.00093
132s [125]	validation_0-rmse:0.00093
132s [126]	validation_0-rmse:0.00093
132s [127]	validation_0-rmse:0.00092
132s [0]	validation_0-rmse:0.29633
132s [1]	validation_0-rmse:0.27038
132s [2]	validation_0-rmse:0.24670
132s [3]	validation_0-rmse:0.22485
132s [4]	validation_0-rmse:0.20795
132s [5]	validation_0-rmse:0.19109
132s [6]	validation_0-rmse:0.17936
132s [7]	validation_0-rmse:0.17053
132s [8]	validation_0-rmse:0.16198
132s [9]	validation_0-rmse:0.15406
132s [10]	validation_0-rmse:0.14510
132s [11]	validation_0-rmse:0.13641
132s [12]	validation_0-rmse:0.12550
132s [13]	validation_0-rmse:0.11761
132s [14]	validation_0-rmse:0.11132
132s [15]	validation_0-rmse:0.10186
132s [16]	validation_0-rmse:0.09376
132s [17]	validation_0-rmse:0.08897
132s [18]	validation_0-rmse:0.08226
132s [19]	validation_0-rmse:0.07742
132s [20]	validation_0-rmse:0.07209
132s [21]	validation_0-rmse:0.06959
132s [22]	validation_0-rmse:0.06703
132s [23]	validation_0-rmse:0.06274
132s [24]	validation_0-rmse:0.05932
132s [25]	validation_0-rmse:0.05540
132s [26]	validation_0-rmse:0.05157
132s [27]	validation_0-rmse:0.04830
132s [28]	validation_0-rmse:0.04540
132s [29]	validation_0-rmse:0.04313
132s [30]	validation_0-rmse:0.04098
132s [31]	validation_0-rmse:0.03869
132s [32]	validation_0-rmse:0.03728
132s [33]	validation_0-rmse:0.03536
132s [34]	validation_0-rmse:0.03372
132s [35]	validation_0-rmse:0.03235
132s [36]	validation_0-rmse:0.03093
132s [37]	validation_0-rmse:0.02889
132s [38]	validation_0-rmse:0.02686
132s [39]	validation_0-rmse:0.02547
132s [40]	validation_0-rmse:0.02372
132s [41]	validation_0-rmse:0.02209
132s [42]	validation_0-rmse:0.02130
132s [43]	validation_0-rmse:0.02008
132s [44]	validation_0-rmse:0.01901
132s [45]	validation_0-rmse:0.01851
132s [46]	validation_0-rmse:0.01714
132s [47]	validation_0-rmse:0.01644
132s [48]	validation_0-rmse:0.01585
132s [49]	validation_0-rmse:0.01493
132s [50]	validation_0-rmse:0.01370
132s [51]	validation_0-rmse:0.01309
132s [52]	validation_0-rmse:0.01257
132s [53]	validation_0-rmse:0.01193
132s [54]	validation_0-rmse:0.01136
132s [55]	validation_0-rmse:0.01080
132s [56]	validation_0-rmse:0.01010
132s [57]	validation_0-rmse:0.00947
132s [58]	validation_0-rmse:0.00871
132s [59]	validation_0-rmse:0.00818
132s [60]	validation_0-rmse:0.00766
132s [61]	validation_0-rmse:0.00737
132s [62]	validation_0-rmse:0.00695
132s [63]	validation_0-rmse:0.00658
132s [64]	validation_0-rmse:0.00616
132s [65]	validation_0-rmse:0.00595
132s [66]	validation_0-rmse:0.00566
132s [67]	validation_0-rmse:0.00526
132s [68]	validation_0-rmse:0.00487
132s [69]	validation_0-rmse:0.00469
132s [70]	validation_0-rmse:0.00446
132s [71]	validation_0-rmse:0.00422
132s [72]	validation_0-rmse:0.00403
132s [73]	validation_0-rmse:0.00381
132s [74]	validation_0-rmse:0.00360
132s [75]	validation_0-rmse:0.00346
132s [76]	validation_0-rmse:0.00330
132s [77]	validation_0-rmse:0.00312
132s [78]	validation_0-rmse:0.00296
132s [79]	validation_0-rmse:0.00284
132s [80]	validation_0-rmse:0.00275
132s [81]	validation_0-rmse:0.00264
132s [82]	validation_0-rmse:0.00251
132s [83]	validation_0-rmse:0.00242
132s [84]	validation_0-rmse:0.00231
132s [85]	validation_0-rmse:0.00222
132s [86]	validation_0-rmse:0.00212
132s [87]	validation_0-rmse:0.00203
132s [88]	validation_0-rmse:0.00192
132s [89]	validation_0-rmse:0.00181
132s [90]	validation_0-rmse:0.00174
132s [91]	validation_0-rmse:0.00168
132s [92]	validation_0-rmse:0.00159
132s [93]	validation_0-rmse:0.00153
132s [94]	validation_0-rmse:0.00147
132s [95]	validation_0-rmse:0.00142
132s [96]	validation_0-rmse:0.00138
132s [97]	validation_0-rmse:0.00130
132s [98]	validation_0-rmse:0.00123
132s [99]	validation_0-rmse:0.00118
132s [100]	validation_0-rmse:0.00114
132s [101]	validation_0-rmse:0.00112
132s [102]	validation_0-rmse:0.00110
132s [103]	validation_0-rmse:0.00106
132s [104]	validation_0-rmse:0.00103
132s [105]	validation_0-rmse:0.00102
132s [106]	validation_0-rmse:0.00099
132s [107]	validation_0-rmse:0.00096
132s [108]	validation_0-rmse:0.00094
132s [109]	validation_0-rmse:0.00093
132s [110]	validation_0-rmse:0.00091
132s [111]	validation_0-rmse:0.00087
132s [112]	validation_0-rmse:0.00086
132s [113]	validation_0-rmse:0.00084
132s [114]	validation_0-rmse:0.00084
132s [115]	validation_0-rmse:0.00083
132s [116]	validation_0-rmse:0.00083
132s [117]	validation_0-rmse:0.00082
132s [118]	validation_0-rmse:0.00082
132s [119]	validation_0-rmse:0.00081
132s [120]	validation_0-rmse:0.00080
132s [121]	validation_0-rmse:0.00079
132s [122]	validation_0-rmse:0.00079
132s [123]	validation_0-rmse:0.00078
132s [124]	validation_0-rmse:0.00078
132s [125]	validation_0-rmse:0.00077
132s [126]	validation_0-rmse:0.00077
132s [127]	validation_0-rmse:0.00076
132s [0]	Train-rmse:0.28597	Train-PyRMSE:4.04424
132s [1]	Train-rmse:0.25494	Train-PyRMSE:3.60534
132s [2]	Train-rmse:0.23359	Train-PyRMSE:3.30341
132s [3]	Train-rmse:0.21640	Train-PyRMSE:3.06038
132s [4]	Train-rmse:0.20574	Train-PyRMSE:2.90962
132s [5]	Train-rmse:0.19311	Train-PyRMSE:2.73098
132s [6]	Train-rmse:0.18435	Train-PyRMSE:2.60710
132s [7]	Train-rmse:0.17502	Train-PyRMSE:2.47516
132s [8]	Train-rmse:0.16830	Train-PyRMSE:2.38017
132s [9]	Train-rmse:0.15957	Train-PyRMSE:2.25667
132s [10]	Train-rmse:0.15430	Train-PyRMSE:2.18211
132s [11]	Train-rmse:0.14604	Train-PyRMSE:2.06533
132s [12]	Train-rmse:0.13629	Train-PyRMSE:1.92740
132s [13]	Train-rmse:0.13249	Train-PyRMSE:1.87376
132s [14]	Train-rmse:0.12557	Train-PyRMSE:1.77588
132s [15]	Train-rmse:0.12198	Train-PyRMSE:1.72505
132s [16]	Train-rmse:0.11972	Train-PyRMSE:1.69314
132s [17]	Train-rmse:0.11345	Train-PyRMSE:1.60444
132s [18]	Train-rmse:0.10926	Train-PyRMSE:1.54524
132s [19]	Train-rmse:0.10367	Train-PyRMSE:1.46616
132s [20]	Train-rmse:0.09938	Train-PyRMSE:1.40550
132s [21]	Train-rmse:0.09543	Train-PyRMSE:1.34963
132s [22]	Train-rmse:0.09302	Train-PyRMSE:1.31552
132s [23]	Train-rmse:0.08848	Train-PyRMSE:1.25132
132s [24]	Train-rmse:0.08575	Train-PyRMSE:1.21274
132s [25]	Train-rmse:0.08280	Train-PyRMSE:1.17092
132s [26]	Train-rmse:0.07694	Train-PyRMSE:1.08803
132s [27]	Train-rmse:0.07375	Train-PyRMSE:1.04299
132s [28]	Train-rmse:0.07137	Train-PyRMSE:1.00927
132s [29]	Train-rmse:0.06737	Train-PyRMSE:0.95281
132s [30]	Train-rmse:0.06433	Train-PyRMSE:0.90978
132s [31]	Train-rmse:0.06239	Train-PyRMSE:0.88235
132s [32]	Train-rmse:0.06093	Train-PyRMSE:0.86164
132s [33]	Train-rmse:0.05800	Train-PyRMSE:0.82031
132s [34]	Train-rmse:0.05568	Train-PyRMSE:0.78745
132s [35]	Train-rmse:0.05430	Train-PyRMSE:0.76797
132s [36]	Train-rmse:0.05124	Train-PyRMSE:0.72468
132s [37]	Train-rmse:0.04849	Train-PyRMSE:0.68580
132s [38]	Train-rmse:0.04754	Train-PyRMSE:0.67231
132s [39]	Train-rmse:0.04704	Train-PyRMSE:0.66519
132s [40]	Train-rmse:0.04449	Train-PyRMSE:0.62916
132s [41]	Train-rmse:0.04374	Train-PyRMSE:0.61865
132s [42]	Train-rmse:0.04281	Train-PyRMSE:0.60545
132s [43]	Train-rmse:0.04101	Train-PyRMSE:0.58000
132s [44]	Train-rmse:0.03921	Train-PyRMSE:0.55448
132s [45]	Train-rmse:0.03761	Train-PyRMSE:0.53186
132s [46]	Train-rmse:0.03628	Train-PyRMSE:0.51314
132s [47]	Train-rmse:0.03566	Train-PyRMSE:0.50431
132s [48]	Train-rmse:0.03379	Train-PyRMSE:0.47782
132s [49]	Train-rmse:0.03265	Train-PyRMSE:0.46180
132s [50]	Train-rmse:0.03208	Train-PyRMSE:0.45373
132s [51]	Train-rmse:0.03132	Train-PyRMSE:0.44294
132s [52]	Train-rmse:0.03024	Train-PyRMSE:0.42768
132s [53]	Train-rmse:0.02897	Train-PyRMSE:0.40968
132s [54]	Train-rmse:0.02838	Train-PyRMSE:0.40136
132s [55]	Train-rmse:0.02777	Train-PyRMSE:0.39273
132s [56]	Train-rmse:0.02668	Train-PyRMSE:0.37727
132s [57]	Train-rmse:0.02579	Train-PyRMSE:0.36475
132s [58]	Train-rmse:0.02436	Train-PyRMSE:0.34444
132s [59]	Train-rmse:0.02411	Train-PyRMSE:0.34092
132s [60]	Train-rmse:0.02344	Train-PyRMSE:0.33144
132s [61]	Train-rmse:0.02296	Train-PyRMSE:0.32477
132s [62]	Train-rmse:0.02203	Train-PyRMSE:0.31151
132s [63]	Train-rmse:0.02109	Train-PyRMSE:0.29828
132s [64]	Train-rmse:0.02058	Train-PyRMSE:0.29102
132s [65]	Train-rmse:0.02017	Train-PyRMSE:0.28528
132s [66]	Train-rmse:0.01945	Train-PyRMSE:0.27500
132s [67]	Train-rmse:0.01861	Train-PyRMSE:0.26320
132s [68]	Train-rmse:0.01835	Train-PyRMSE:0.25955
132s [69]	Train-rmse:0.01763	Train-PyRMSE:0.24935
132s [70]	Train-rmse:0.01697	Train-PyRMSE:0.24001
132s [71]	Train-rmse:0.01633	Train-PyRMSE:0.23098
132s [72]	Train-rmse:0.01582	Train-PyRMSE:0.22368
132s [73]	Train-rmse:0.01562	Train-PyRMSE:0.22096
132s [74]	Train-rmse:0.01507	Train-PyRMSE:0.21311
132s [75]	Train-rmse:0.01488	Train-PyRMSE:0.21037
132s [76]	Train-rmse:0.01417	Train-PyRMSE:0.20036
132s [77]	Train-rmse:0.01362	Train-PyRMSE:0.19265
132s [78]	Train-rmse:0.01314	Train-PyRMSE:0.18588
132s [79]	Train-rmse:0.01263	Train-PyRMSE:0.17868
132s [80]	Train-rmse:0.01246	Train-PyRMSE:0.17623
132s [81]	Train-rmse:0.01228	Train-PyRMSE:0.17369
132s [82]	Train-rmse:0.01171	Train-PyRMSE:0.16556
132s [83]	Train-rmse:0.01120	Train-PyRMSE:0.15845
132s [84]	Train-rmse:0.01081	Train-PyRMSE:0.15289
132s [85]	Train-rmse:0.01031	Train-PyRMSE:0.14579
132s [86]	Train-rmse:0.00992	Train-PyRMSE:0.14032
132s [87]	Train-rmse:0.00976	Train-PyRMSE:0.13809
132s [88]	Train-rmse:0.00950	Train-PyRMSE:0.13438
132s [89]	Train-rmse:0.00914	Train-PyRMSE:0.12930
132s [90]	Train-rmse:0.00878	Train-PyRMSE:0.12417
132s [91]	Train-rmse:0.00845	Train-PyRMSE:0.11946
132s [92]	Train-rmse:0.00833	Train-PyRMSE:0.11779
132s [93]	Train-rmse:0.00816	Train-PyRMSE:0.11542
132s [94]	Train-rmse:0.00786	Train-PyRMSE:0.11115
132s [95]	Train-rmse:0.00751	Train-PyRMSE:0.10622
132s [96]	Train-rmse:0.00742	Train-PyRMSE:0.10500
132s [97]	Train-rmse:0.00718	Train-PyRMSE:0.10148
132s [98]	Train-rmse:0.00707	Train-PyRMSE:0.10001
132s [99]	Train-rmse:0.00685	Train-PyRMSE:0.09681
132s [100]	Train-rmse:0.00676	Train-PyRMSE:0.09558
132s [101]	Train-rmse:0.00654	Train-PyRMSE:0.09255
132s [102]	Train-rmse:0.00628	Train-PyRMSE:0.08888
132s [103]	Train-rmse:0.00601	Train-PyRMSE:0.08495
132s [104]	Train-rmse:0.00583	Train-PyRMSE:0.08240
132s [105]	Train-rmse:0.00576	Train-PyRMSE:0.08150
132s [106]	Train-rmse:0.00568	Train-PyRMSE:0.08027
132s [107]	Train-rmse:0.00542	Train-PyRMSE:0.07665
132s [108]	Train-rmse:0.00521	Train-PyRMSE:0.07373
132s [109]	Train-rmse:0.00502	Train-PyRMSE:0.07100
132s [110]	Train-rmse:0.00486	Train-PyRMSE:0.06869
132s [111]	Train-rmse:0.00468	Train-PyRMSE:0.06612
132s [112]	Train-rmse:0.00452	Train-PyRMSE:0.06399
132s [113]	Train-rmse:0.00447	Train-PyRMSE:0.06324
132s [114]	Train-rmse:0.00429	Train-PyRMSE:0.06062
132s [115]	Train-rmse:0.00414	Train-PyRMSE:0.05856
132s [116]	Train-rmse:0.00403	Train-PyRMSE:0.05697
132s [117]	Train-rmse:0.00389	Train-PyRMSE:0.05498
132s [118]	Train-rmse:0.00377	Train-PyRMSE:0.05330
132s [119]	Train-rmse:0.00371	Train-PyRMSE:0.05251
132s [120]	Train-rmse:0.00358	Train-PyRMSE:0.05058
132s [121]	Train-rmse:0.00349	Train-PyRMSE:0.04940
132s [122]	Train-rmse:0.00336	Train-PyRMSE:0.04751
132s [123]	Train-rmse:0.00332	Train-PyRMSE:0.04702
132s [124]	Train-rmse:0.00324	Train-PyRMSE:0.04584
132s [125]	Train-rmse:0.00321	Train-PyRMSE:0.04542
132s [126]	Train-rmse:0.00318	Train-PyRMSE:0.04502
132s [127]	Train-rmse:0.00308	Train-PyRMSE:0.04355
132s [0]	Train-rmse:0.29790	Train-PyRMSE:4.21300
132s [1]	Train-rmse:0.26995	Train-PyRMSE:3.81773
132s [2]	Train-rmse:0.24596	Train-PyRMSE:3.47845
132s [3]	Train-rmse:0.22962	Train-PyRMSE:3.24727
132s [4]	Train-rmse:0.22042	Train-PyRMSE:3.11716
132s [5]	Train-rmse:0.20740	Train-PyRMSE:2.93305
132s [6]	Train-rmse:0.20148	Train-PyRMSE:2.84940
132s [7]	Train-rmse:0.19043	Train-PyRMSE:2.69310
132s [8]	Train-rmse:0.18596	Train-PyRMSE:2.62991
132s [9]	Train-rmse:0.17844	Train-PyRMSE:2.52354
132s [10]	Train-rmse:0.17484	Train-PyRMSE:2.47255
132s [11]	Train-rmse:0.15904	Train-PyRMSE:2.24910
132s [12]	Train-rmse:0.15243	Train-PyRMSE:2.15566
132s [13]	Train-rmse:0.14346	Train-PyRMSE:2.02886
132s [14]	Train-rmse:0.13921	Train-PyRMSE:1.96873
132s [15]	Train-rmse:0.13760	Train-PyRMSE:1.94597
132s [16]	Train-rmse:0.13004	Train-PyRMSE:1.83909
132s [17]	Train-rmse:0.12588	Train-PyRMSE:1.78025
132s [18]	Train-rmse:0.12472	Train-PyRMSE:1.76382
132s [19]	Train-rmse:0.11921	Train-PyRMSE:1.68592
132s [20]	Train-rmse:0.11146	Train-PyRMSE:1.57621
132s [21]	Train-rmse:0.10750	Train-PyRMSE:1.52031
132s [22]	Train-rmse:0.10276	Train-PyRMSE:1.45326
132s [23]	Train-rmse:0.10194	Train-PyRMSE:1.44162
132s [24]	Train-rmse:0.09842	Train-PyRMSE:1.39186
132s [25]	Train-rmse:0.09715	Train-PyRMSE:1.37398
132s [26]	Train-rmse:0.09312	Train-PyRMSE:1.31692
132s [27]	Train-rmse:0.09226	Train-PyRMSE:1.30482
132s [28]	Train-rmse:0.08662	Train-PyRMSE:1.22503
132s [29]	Train-rmse:0.08231	Train-PyRMSE:1.16407
132s [30]	Train-rmse:0.08159	Train-PyRMSE:1.15381
132s [31]	Train-rmse:0.07851	Train-PyRMSE:1.11031
132s [32]	Train-rmse:0.07481	Train-PyRMSE:1.05796
132s [33]	Train-rmse:0.07150	Train-PyRMSE:1.01120
132s [34]	Train-rmse:0.07080	Train-PyRMSE:1.00132
132s [35]	Train-rmse:0.06830	Train-PyRMSE:0.96591
132s [36]	Train-rmse:0.06769	Train-PyRMSE:0.95733
132s [37]	Train-rmse:0.06484	Train-PyRMSE:0.91694
132s [38]	Train-rmse:0.06165	Train-PyRMSE:0.87181
132s [39]	Train-rmse:0.05937	Train-PyRMSE:0.83965
132s [40]	Train-rmse:0.05873	Train-PyRMSE:0.83051
132s [41]	Train-rmse:0.05667	Train-PyRMSE:0.80140
132s [42]	Train-rmse:0.05596	Train-PyRMSE:0.79141
132s [43]	Train-rmse:0.05416	Train-PyRMSE:0.76589
132s [44]	Train-rmse:0.05299	Train-PyRMSE:0.74934
132s [45]	Train-rmse:0.05052	Train-PyRMSE:0.71453
132s [46]	Train-rmse:0.04922	Train-PyRMSE:0.69609
132s [47]	Train-rmse:0.04883	Train-PyRMSE:0.69062
132s [48]	Train-rmse:0.04610	Train-PyRMSE:0.65199
132s [49]	Train-rmse:0.04417	Train-PyRMSE:0.62469
132s [50]	Train-rmse:0.04190	Train-PyRMSE:0.59254
132s [51]	Train-rmse:0.04114	Train-PyRMSE:0.58181
132s [52]	Train-rmse:0.03957	Train-PyRMSE:0.55954
132s [53]	Train-rmse:0.03922	Train-PyRMSE:0.55469
132s [54]	Train-rmse:0.03852	Train-PyRMSE:0.54478
132s [55]	Train-rmse:0.03717	Train-PyRMSE:0.52562
132s [56]	Train-rmse:0.03584	Train-PyRMSE:0.50680
132s [57]	Train-rmse:0.03429	Train-PyRMSE:0.48498
132s [58]	Train-rmse:0.03400	Train-PyRMSE:0.48083
132s [59]	Train-rmse:0.03295	Train-PyRMSE:0.46597
132s [60]	Train-rmse:0.03237	Train-PyRMSE:0.45775
132s [61]	Train-rmse:0.03091	Train-PyRMSE:0.43707
132s [62]	Train-rmse:0.02998	Train-PyRMSE:0.42399
132s [63]	Train-rmse:0.02849	Train-PyRMSE:0.40286
132s [64]	Train-rmse:0.02729	Train-PyRMSE:0.38595
132s [65]	Train-rmse:0.02692	Train-PyRMSE:0.38069
132s [66]	Train-rmse:0.02618	Train-PyRMSE:0.37018
132s [67]	Train-rmse:0.02588	Train-PyRMSE:0.36600
132s [68]	Train-rmse:0.02491	Train-PyRMSE:0.35229
132s [69]	Train-rmse:0.02428	Train-PyRMSE:0.34344
132s [70]	Train-rmse:0.02398	Train-PyRMSE:0.33907
132s [71]	Train-rmse:0.02309	Train-PyRMSE:0.32650
132s [72]	Train-rmse:0.02219	Train-PyRMSE:0.31381
132s [73]	Train-rmse:0.02094	Train-PyRMSE:0.29616
132s [74]	Train-rmse:0.02079	Train-PyRMSE:0.29398
132s [75]	Train-rmse:0.02028	Train-PyRMSE:0.28685
132s [76]	Train-rmse:0.01931	Train-PyRMSE:0.27311
132s [77]	Train-rmse:0.01919	Train-PyRMSE:0.27140
132s [78]	Train-rmse:0.01862	Train-PyRMSE:0.26336
132s [79]	Train-rmse:0.01743	Train-PyRMSE:0.24652
132s [80]	Train-rmse:0.01699	Train-PyRMSE:0.24033
132s [81]	Train-rmse:0.01644	Train-PyRMSE:0.23256
132s [82]	Train-rmse:0.01565	Train-PyRMSE:0.22127
132s [83]	Train-rmse:0.01526	Train-PyRMSE:0.21582
132s [84]	Train-rmse:0.01503	Train-PyRMSE:0.21258
132s [85]	Train-rmse:0.01450	Train-PyRMSE:0.20508
132s [86]	Train-rmse:0.01410	Train-PyRMSE:0.19936
132s [87]	Train-rmse:0.01349	Train-PyRMSE:0.19080
132s [88]	Train-rmse:0.01288	Train-PyRMSE:0.18211
132s [89]	Train-rmse:0.01278	Train-PyRMSE:0.18071
132s [90]	Train-rmse:0.01220	Train-PyRMSE:0.17252
132s [91]	Train-rmse:0.01179	Train-PyRMSE:0.16679
132s [92]	Train-rmse:0.01166	Train-PyRMSE:0.16490
132s [93]	Train-rmse:0.01132	Train-PyRMSE:0.16008
132s [94]	Train-rmse:0.01088	Train-PyRMSE:0.15388
132s [95]	Train-rmse:0.01060	Train-PyRMSE:0.14993
132s [96]	Train-rmse:0.01006	Train-PyRMSE:0.14229
132s [97]	Train-rmse:0.00998	Train-PyRMSE:0.14109
132s [98]	Train-rmse:0.00954	Train-PyRMSE:0.13496
132s [99]	Train-rmse:0.00948	Train-PyRMSE:0.13406
132s [100]	Train-rmse:0.00926	Train-PyRMSE:0.13098
132s [101]	Train-rmse:0.00901	Train-PyRMSE:0.12747
132s [102]	Train-rmse:0.00885	Train-PyRMSE:0.12510
132s [103]	Train-rmse:0.00847	Train-PyRMSE:0.11979
132s [104]	Train-rmse:0.00833	Train-PyRMSE:0.11784
132s [105]	Train-rmse:0.00791	Train-PyRMSE:0.11187
132s [106]	Train-rmse:0.00787	Train-PyRMSE:0.11125
132s [107]	Train-rmse:0.00755	Train-PyRMSE:0.10682
132s [108]	Train-rmse:0.00724	Train-PyRMSE:0.10245
132s [109]	Train-rmse:0.00705	Train-PyRMSE:0.09976
132s [110]	Train-rmse:0.00683	Train-PyRMSE:0.09662
132s [111]	Train-rmse:0.00656	Train-PyRMSE:0.09274
132s [112]	Train-rmse:0.00641	Train-PyRMSE:0.09058
132s [113]	Train-rmse:0.00631	Train-PyRMSE:0.08921
132s [114]	Train-rmse:0.00606	Train-PyRMSE:0.08569
132s [115]	Train-rmse:0.00583	Train-PyRMSE:0.08241
132s [116]	Train-rmse:0.00578	Train-PyRMSE:0.08175
132s [117]	Train-rmse:0.00562	Train-PyRMSE:0.07946
132s [118]	Train-rmse:0.00553	Train-PyRMSE:0.07818
132s [119]	Train-rmse:0.00533	Train-PyRMSE:0.07539
132s [120]	Train-rmse:0.00514	Train-PyRMSE:0.07262
132s [121]	Train-rmse:0.00510	Train-PyRMSE:0.07211
132s [122]	Train-rmse:0.00501	Train-PyRMSE:0.07088
132s [123]	Train-rmse:0.00489	Train-PyRMSE:0.06912
132s [124]	Train-rmse:0.00475	Train-PyRMSE:0.06722
132s [125]	Train-rmse:0.00473	Train-PyRMSE:0.06690
132s [126]	Train-rmse:0.00467	Train-PyRMSE:0.06603
132s [127]	Train-rmse:0.00443	Train-PyRMSE:0.06259
132s ==========================================
132s Running case predict_first_ntree.py...
133s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args.
133s   warnings.warn(msg, FutureWarning)
133s [0]	eval-logloss:0.22646	train-logloss:0.23316
133s [1]	eval-logloss:0.13776	train-logloss:0.13654
133s [2]	eval-logloss:0.08036	train-logloss:0.08243
133s start testing prediction from first n trees
133s error of ypred1=0.042831
133s error of ypred2=0.006207
133s [0]	validation_0-logloss:0.22646
133s [1]	validation_0-logloss:0.13776
133s [2]	validation_0-logloss:0.08036
133s start testing prediction from first n trees
133s error of ypred1=0.042831
133s error of ypred2=0.006207
133s ==========================================
133s Running case predict_leaf_indices.py...
134s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args.
134s   warnings.warn(msg, FutureWarning)
134s [0]	eval-logloss:0.22646	train-logloss:0.23316
134s [1]	eval-logloss:0.13776	train-logloss:0.13654
134s [2]	eval-logloss:0.08036	train-logloss:0.08243
134s start testing predict the leaf indices
134s (1611, 2, 1, 1)
134s [[[[5.]]
134s 
134s   [[4.]]]
134s 
134s 
134s  [[[6.]]
134s 
134s   [[4.]]]
134s 
134s 
134s  [[[5.]]
134s 
134s   [[4.]]]
134s 
134s 
134s  ...
134s 
134s 
134s  [[[6.]]
134s 
134s   [[4.]]]
134s 
134s 
134s  [[[4.]]
134s 
134s   [[3.]]]
134s 
134s 
134s  [[[6.]]
134s 
134s   [[4.]]]]
134s (1611, 3)
134s ==========================================
134s Skip case quantile_data_iterator.py...
134s ==========================================
134s Running case quantile_regression.py...
135s [0]	Train-quantile:1.50159	Test-quantile:1.45489
135s [1]	Train-quantile:1.41395	Test-quantile:1.36960
135s [2]	Train-quantile:1.33178	Test-quantile:1.28702
135s [3]	Train-quantile:1.25429	Test-quantile:1.21133
135s [4]	Train-quantile:1.18373	Test-quantile:1.13959
135s [5]	Train-quantile:1.11898	Test-quantile:1.07261
135s [6]	Train-quantile:1.05770	Test-quantile:1.01264
135s [7]	Train-quantile:1.00142	Test-quantile:0.96139
135s [8]	Train-quantile:0.94844	Test-quantile:0.91339
135s [9]	Train-quantile:0.89917	Test-quantile:0.86934
135s [10]	Train-quantile:0.85692	Test-quantile:0.82830
135s [11]	Train-quantile:0.81823	Test-quantile:0.79270
135s [12]	Train-quantile:0.78400	Test-quantile:0.75817
135s [13]	Train-quantile:0.75333	Test-quantile:0.72983
135s [14]	Train-quantile:0.72555	Test-quantile:0.70335
135s [15]	Train-quantile:0.69885	Test-quantile:0.67960
135s [16]	Train-quantile:0.67482	Test-quantile:0.65947
135s [17]	Train-quantile:0.65359	Test-quantile:0.64055
135s [18]	Train-quantile:0.63363	Test-quantile:0.62346
135s [19]	Train-quantile:0.61495	Test-quantile:0.60855
135s [20]	Train-quantile:0.59783	Test-quantile:0.59489
135s [21]	Train-quantile:0.58197	Test-quantile:0.58130
135s [22]	Train-quantile:0.56682	Test-quantile:0.56949
135s [23]	Train-quantile:0.55237	Test-quantile:0.55744
135s [24]	Train-quantile:0.53809	Test-quantile:0.54622
135s [25]	Train-quantile:0.52441	Test-quantile:0.53571
135s [26]	Train-quantile:0.51174	Test-quantile:0.52520
135s [27]	Train-quantile:0.49974	Test-quantile:0.51546
135s [28]	Train-quantile:0.48865	Test-quantile:0.50628
135s [29]	Train-quantile:0.47833	Test-quantile:0.49784
135s [30]	Train-quantile:0.46895	Test-quantile:0.48966
135s [31]	Train-quantile:0.45900	Test-quantile:0.48302
135s [0]	Train-rmse:4.32523	Test-rmse:4.63143
135s [1]	Train-rmse:4.21367	Test-rmse:4.53399
135s [2]	Train-rmse:4.10813	Test-rmse:4.44222
135s [3]	Train-rmse:4.00795	Test-rmse:4.35559
135s [4]	Train-rmse:3.91314	Test-rmse:4.27507
135s [5]	Train-rmse:3.82342	Test-rmse:4.19994
135s [6]	Train-rmse:3.73860	Test-rmse:4.12864
135s [7]	Train-rmse:3.65855	Test-rmse:4.06333
135s [8]	Train-rmse:3.58302	Test-rmse:3.99920
135s [9]	Train-rmse:3.51166	Test-rmse:3.94100
135s [10]	Train-rmse:3.44443	Test-rmse:3.88581
135s [11]	Train-rmse:3.38085	Test-rmse:3.83491
135s [12]	Train-rmse:3.32121	Test-rmse:3.78659
135s [13]	Train-rmse:3.26491	Test-rmse:3.74137
135s [14]	Train-rmse:3.21217	Test-rmse:3.69918
135s [15]	Train-rmse:3.16233	Test-rmse:3.66047
135s [16]	Train-rmse:3.11625	Test-rmse:3.62292
135s [17]	Train-rmse:3.07250	Test-rmse:3.58980
135s [18]	Train-rmse:3.03120	Test-rmse:3.55971
135s [19]	Train-rmse:2.99260	Test-rmse:3.53039
135s [20]	Train-rmse:2.95471	Test-rmse:3.50273
135s [21]	Train-rmse:2.92082	Test-rmse:3.47765
135s [22]	Train-rmse:2.88707	Test-rmse:3.45409
135s [23]	Train-rmse:2.85719	Test-rmse:3.43196
135s [24]	Train-rmse:2.82955	Test-rmse:3.41116
135s [25]	Train-rmse:2.80145	Test-rmse:3.39262
135s [26]	Train-rmse:2.77526	Test-rmse:3.37544
135s [27]	Train-rmse:2.75237	Test-rmse:3.35703
135s [28]	Train-rmse:2.73071	Test-rmse:3.34065
135s [29]	Train-rmse:2.70895	Test-rmse:3.32714
135s [30]	Train-rmse:2.69007	Test-rmse:3.31295
135s [31]	Train-rmse:2.67125	Test-rmse:3.30119
135s ==========================================
135s Running case sklearn_evals_result.py...
136s [0]	validation_0-logloss:0.63169	validation_1-logloss:0.65974
136s [1]	validation_0-logloss:0.58449	validation_1-logloss:0.62161
136s Access logloss metric directly from validation_0:
136s [0.6316909282654524, 0.5844871088303626]
136s 
136s Access metrics through a loop:
136s - validation_0
136s    - logloss
136s       - [0.6316909282654524, 0.5844871088303626]
136s - validation_1
136s    - logloss
136s       - [0.6597448766976595, 0.6216080508381129]
136s 
136s Access complete dict:
136s {'validation_0': OrderedDict({'logloss': [0.6316909282654524, 0.5844871088303626]}), 'validation_1': OrderedDict({'logloss': [0.6597448766976595, 0.6216080508381129]})}
136s ==========================================
136s Running case sklearn_examples.py...
139s Zeros and Ones from the Digits dataset: binary classification
139s [[87  0]
139s  [ 1 92]]
139s [[91  0]
139s  [ 3 86]]
139s Iris: multiclass classification
139s [[19  0  0]
139s  [ 1 31  2]
139s  [ 0  3 19]]
139s [[31  0  0]
139s  [ 0 16  0]
139s  [ 0  1 27]]
139s California Housing: regression
139s 0.2310805601814026
139s 0.23533764411819863
139s Parameter optimization
139s Fitting 3 folds for each of 4 candidates, totalling 12 fits
139s 0.6838972456687431
139s {'max_depth': 4, 'n_estimators': 100}
139s Pickling sklearn API models
139s True
139s [0]	validation_0-auc:0.99020
139s [1]	validation_0-auc:0.99975
139s [2]	validation_0-auc:0.99975
139s [3]	validation_0-auc:0.99975
139s [4]	validation_0-auc:0.99975
139s [5]	validation_0-auc:0.99975
139s [6]	validation_0-auc:1.00000
139s [7]	validation_0-auc:1.00000
139s [8]	validation_0-auc:1.00000
139s [9]	validation_0-auc:1.00000
140s [10]	validation_0-auc:1.00000
140s [11]	validation_0-auc:1.00000
140s [12]	validation_0-auc:1.00000
140s [13]	validation_0-auc:1.00000
140s [14]	validation_0-auc:1.00000
140s [15]	validation_0-auc:1.00000
140s [16]	validation_0-auc:1.00000
140s ==========================================
140s Running case sklearn_parallel.py...
140s Parallel Parameter optimization
140s Fitting 5 folds for each of 9 candidates, totalling 45 fits
146s 0.688555675183378
146s {'max_depth': 4, 'n_estimators': 50}
146s Exception ignored in: <function ResourceTracker.__del__ at 0x794cce106fc0>
146s Traceback (most recent call last):
146s   File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__
146s   File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop
146s   File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked
146s ChildProcessError: [Errno 10] No child processes
146s Exception ignored in: <function ResourceTracker.__del__ at 0x7eac1c226fc0>
146s Traceback (most recent call last):
146s   File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__
146s   File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop
146s   File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked
146s ChildProcessError: [Errno 10] No child processes
146s ==========================================
146s Skip case spark_estimator_examples.py...
146s ==========================================
146s Skip case update_process.py...
146s ==========================================
146s All cases passed.
146s /tmp/autopkgtest.IKRoi1/wrapper.sh: Killing leaked background processes: 3698 
146s     PID TTY      STAT   TIME COMMAND
146s /tmp/autopkgtest.IKRoi1/wrapper.sh: 235: kill: No such process
146s 
146s /tmp/autopkgtest.IKRoi1/wrapper.sh: 237: kill: No such process
146s 
147s autopkgtest [20:46:48]: test run-demos: -----------------------]
147s run-demos            PASS
147s autopkgtest [20:46:48]: test run-demos:  - - - - - - - - - - results - - - - - - - - - -
147s autopkgtest [20:46:48]: @@@@@@@@@@@@@@@@@@@@ summary
147s run-demos            PASS
151s nova [W] Using flock in prodstack7-ppc64el
151s Creating nova instance adt-questing-ppc64el-xgboost-20250505-204421-juju-7f2275-prod-proposed-migration-environment-21-07c540bd-ff7d-41fe-bb8f-683102b41408 from image adt/ubuntu-questing-ppc64el-server-20250505.img (UUID 1f333b8a-0e22-4209-a8a8-539666d3d5e7)...
151s nova [W] Timed out waiting for fcf13470-1d07-4024-a78a-a3ba7079d8f3 to get deleted.