0s autopkgtest [10:29:23]: starting date and time: 2025-05-02 10:29:23+0000 0s autopkgtest [10:29:23]: git checkout: 9986aa8c Merge branch 'skia/fix_network_interface' into 'ubuntu/production' 0s autopkgtest [10:29:23]: host juju-7f2275-prod-proposed-migration-environment-15; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.enu5ygw6/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 --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-15@bos03-arm64-25.secgroup --name adt-questing-arm64-xgboost-20250502-102922-juju-7f2275-prod-proposed-migration-environment-15-f97b488a-8cbb-44d3-851c-5278dabdb5d7 --image adt/ubuntu-questing-arm64-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-15 --net-id=net_prod-proposed-migration -e TERM=linux --mirror=http://ftpmaster.internal/ubuntu/ 94s autopkgtest [10:30:57]: testbed dpkg architecture: arm64 94s autopkgtest [10:30:57]: testbed apt version: 3.0.0 95s autopkgtest [10:30:58]: @@@@@@@@@@@@@@@@@@@@ test bed setup 95s autopkgtest [10:30:58]: testbed release detected to be: None 96s autopkgtest [10:30:59]: updating testbed package index (apt update) 96s Get:1 http://ftpmaster.internal/ubuntu questing-proposed InRelease [110 kB] 96s Hit:2 http://ftpmaster.internal/ubuntu questing InRelease 96s Hit:3 http://ftpmaster.internal/ubuntu questing-updates InRelease 96s Hit:4 http://ftpmaster.internal/ubuntu questing-security InRelease 96s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/universe Sources [2076 kB] 97s Get:6 http://ftpmaster.internal/ubuntu questing-proposed/multiverse Sources [44.4 kB] 97s Get:7 http://ftpmaster.internal/ubuntu questing-proposed/main Sources [175 kB] 97s Get:8 http://ftpmaster.internal/ubuntu questing-proposed/main arm64 Packages [219 kB] 97s Get:9 http://ftpmaster.internal/ubuntu questing-proposed/universe arm64 Packages [1509 kB] 97s Get:10 http://ftpmaster.internal/ubuntu questing-proposed/multiverse arm64 Packages [15.4 kB] 97s Fetched 4149 kB in 1s (3222 kB/s) 98s Reading package lists... 99s autopkgtest [10:31:02]: upgrading testbed (apt dist-upgrade and autopurge) 99s Reading package lists... 99s Building dependency tree... 99s Reading state information... 100s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 100s Starting 2 pkgProblemResolver with broken count: 0 100s Done 101s Entering ResolveByKeep 101s 101s Calculating upgrade... 102s The following packages will be upgraded: 102s htop mtd-utils nano 102s 3 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 102s Need to get 936 kB of archives. 102s After this operation, 727 kB of additional disk space will be used. 102s Get:1 http://ftpmaster.internal/ubuntu questing/main arm64 nano arm64 8.4-1 [290 kB] 102s Get:2 http://ftpmaster.internal/ubuntu questing/main arm64 htop arm64 3.4.1-4 [177 kB] 102s Get:3 http://ftpmaster.internal/ubuntu questing/main arm64 mtd-utils arm64 1:2.3.0-1ubuntu1 [469 kB] 103s Fetched 936 kB in 1s (1712 kB/s) 103s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 117820 files and directories currently installed.) 103s Preparing to unpack .../archives/nano_8.4-1_arm64.deb ... 103s Unpacking nano (8.4-1) over (8.3-1) ... 103s Preparing to unpack .../htop_3.4.1-4_arm64.deb ... 103s Unpacking htop (3.4.1-4) over (3.4.0-2) ... 103s Preparing to unpack .../mtd-utils_1%3a2.3.0-1ubuntu1_arm64.deb ... 103s Unpacking mtd-utils (1:2.3.0-1ubuntu1) over (1:2.2.0-2ubuntu2) ... 103s Setting up htop (3.4.1-4) ... 103s Setting up mtd-utils (1:2.3.0-1ubuntu1) ... 103s Setting up nano (8.4-1) ... 103s Installing new version of config file /etc/nanorc ... 103s Processing triggers for man-db (2.13.0-1) ... 105s Processing triggers for install-info (7.1.1-1) ... 105s Reading package lists... 106s Building dependency tree... 106s Reading state information... 106s Starting pkgProblemResolver with broken count: 0 106s Starting 2 pkgProblemResolver with broken count: 0 106s Done 107s Solving dependencies... 107s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 110s autopkgtest [10:31:13]: testbed running kernel: Linux 6.14.0-15-generic #15-Ubuntu SMP PREEMPT_DYNAMIC Sun Apr 6 14:37:51 UTC 2025 110s autopkgtest [10:31:13]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost 113s Get:1 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (dsc) [2340 B] 113s Get:2 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (tar) [2138 kB] 113s Get:3 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (diff) [23.2 kB] 113s gpgv: Signature made Wed Mar 5 01:20:21 2025 UTC 113s gpgv: using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2 113s gpgv: Can't check signature: No public key 113s dpkg-source: warning: cannot verify inline signature for ./xgboost_2.1.4-1build1.dsc: no acceptable signature found 114s autopkgtest [10:31:17]: testing package xgboost version 2.1.4-1build1 114s autopkgtest [10:31:17]: build not needed 118s autopkgtest [10:31:21]: test run-demos: preparing testbed 118s Reading package lists... 118s Building dependency tree... 118s Reading state information... 118s Starting pkgProblemResolver with broken count: 0 119s Starting 2 pkgProblemResolver with broken count: 0 119s Done 119s The following NEW packages will be installed: 119s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3 119s libdeflate0 libdmlc0t64 libfontconfig1 libgfortran5 libgomp1 libgraphite2-3 119s libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery 119s libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libopenjp2-7 119s libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7 119s libwebpdemux2 libwebpmux3 libxft2 libxgboost-dev libxgboost0 libxrender1 119s libxslt1.1 libxss1 python-matplotlib-data python3-brotli python3-contourpy 119s python3-cycler python3-dateutil python3-decorator python3-fonttools 119s python3-fs python3-joblib python3-kiwisolver python3-lxml python3-lz4 119s python3-matplotlib python3-mpmath python3-numpy python3-numpy-dev 119s python3-packaging python3-pandas python3-pandas-lib python3-pil 119s python3-pil.imagetk python3-platformdirs python3-pytz python3-scipy 119s python3-sklearn python3-sklearn-lib python3-sympy python3-threadpoolctl 119s python3-tk python3-tz python3-ufolib2 python3-unicodedata2 python3-xgboost 119s python3.13-tk tk8.6-blt2.5 unicode-data x11-common 120s 0 upgraded, 76 newly installed, 0 to remove and 0 not upgraded. 120s Need to get 86.7 MB of archives. 120s After this operation, 368 MB of additional disk space will be used. 120s Get:1 http://ftpmaster.internal/ubuntu questing/main arm64 python3-numpy-dev arm64 1:2.2.3+ds-5 [146 kB] 120s Get:2 http://ftpmaster.internal/ubuntu questing/main arm64 libblas3 arm64 3.12.1-2 [161 kB] 120s Get:3 http://ftpmaster.internal/ubuntu questing/main arm64 libgfortran5 arm64 15-20250404-0ubuntu1 [444 kB] 120s Get:4 http://ftpmaster.internal/ubuntu questing/main arm64 liblapack3 arm64 3.12.1-2 [2307 kB] 120s Get:5 http://ftpmaster.internal/ubuntu questing/main arm64 python3-numpy arm64 1:2.2.3+ds-5 [3981 kB] 120s Get:6 http://ftpmaster.internal/ubuntu questing/main arm64 libtcl8.6 arm64 8.6.16+dfsg-1 [987 kB] 120s Get:7 http://ftpmaster.internal/ubuntu questing/main arm64 fonts-dejavu-mono all 2.37-8 [502 kB] 120s Get:8 http://ftpmaster.internal/ubuntu questing/main arm64 fonts-dejavu-core all 2.37-8 [835 kB] 120s Get:9 http://ftpmaster.internal/ubuntu questing/main arm64 fontconfig-config arm64 2.15.0-2.2ubuntu1 [37.9 kB] 120s Get:10 http://ftpmaster.internal/ubuntu questing/main arm64 libfontconfig1 arm64 2.15.0-2.2ubuntu1 [144 kB] 120s Get:11 http://ftpmaster.internal/ubuntu questing/main arm64 libxrender1 arm64 1:0.9.10-1.1build1 [18.8 kB] 120s Get:12 http://ftpmaster.internal/ubuntu questing/main arm64 libxft2 arm64 2.3.6-1build1 [44.1 kB] 120s Get:13 http://ftpmaster.internal/ubuntu questing/main arm64 x11-common all 1:7.7+23ubuntu4 [21.8 kB] 120s Get:14 http://ftpmaster.internal/ubuntu questing/main arm64 libxss1 arm64 1:1.2.3-1build3 [7244 B] 120s Get:15 http://ftpmaster.internal/ubuntu questing/main arm64 libtk8.6 arm64 8.6.16-1 [776 kB] 120s Get:16 http://ftpmaster.internal/ubuntu questing/main arm64 tk8.6-blt2.5 arm64 2.5.3+dfsg-8 [624 kB] 120s Get:17 http://ftpmaster.internal/ubuntu questing/main arm64 blt arm64 2.5.3+dfsg-8 [4824 B] 120s Get:18 http://ftpmaster.internal/ubuntu questing/universe arm64 fonts-lyx all 2.4.3-1 [171 kB] 120s Get:19 http://ftpmaster.internal/ubuntu questing/main arm64 libdeflate0 arm64 1.23-1 [46.2 kB] 120s Get:20 http://ftpmaster.internal/ubuntu questing/main arm64 libgomp1 arm64 15-20250404-0ubuntu1 [147 kB] 120s Get:21 http://ftpmaster.internal/ubuntu questing/universe arm64 libdmlc0t64 arm64 0.5+git20240614.1334185-1 [174 kB] 121s Get:22 http://ftpmaster.internal/ubuntu questing/main arm64 libgraphite2-3 arm64 1.3.14-2ubuntu1 [70.6 kB] 121s Get:23 http://ftpmaster.internal/ubuntu questing/main arm64 libharfbuzz0b arm64 10.2.0-1 [490 kB] 121s Get:24 http://ftpmaster.internal/ubuntu questing/main arm64 libimagequant0 arm64 2.18.0-1build1 [37.1 kB] 121s Get:25 http://ftpmaster.internal/ubuntu questing/main arm64 libjpeg-turbo8 arm64 2.1.5-3ubuntu2 [165 kB] 121s Get:26 http://ftpmaster.internal/ubuntu questing/main arm64 libjpeg8 arm64 8c-2ubuntu11 [2148 B] 121s Get:27 http://ftpmaster.internal/ubuntu questing/main arm64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 121s Get:28 http://ftpmaster.internal/ubuntu questing/universe arm64 libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 121s Get:29 http://ftpmaster.internal/ubuntu questing/universe arm64 liblbfgsb0 arm64 3.0+dfsg.4-1build1 [27.7 kB] 121s Get:30 http://ftpmaster.internal/ubuntu questing/main arm64 liblcms2-2 arm64 2.16-2 [170 kB] 121s Get:31 http://ftpmaster.internal/ubuntu questing/main arm64 liblerc4 arm64 4.0.0+ds-5ubuntu1 [167 kB] 121s Get:32 http://ftpmaster.internal/ubuntu questing/universe arm64 libqhull-r8.0 arm64 2020.2-6build1 [189 kB] 121s Get:33 http://ftpmaster.internal/ubuntu questing/main arm64 libraqm0 arm64 0.10.2-1 [14.9 kB] 121s Get:34 http://ftpmaster.internal/ubuntu questing/main arm64 libsharpyuv0 arm64 1.5.0-0.1 [16.9 kB] 121s Get:35 http://ftpmaster.internal/ubuntu questing/main arm64 libjbig0 arm64 2.1-6.1ubuntu2 [29.3 kB] 121s Get:36 http://ftpmaster.internal/ubuntu questing/main arm64 libwebp7 arm64 1.5.0-0.1 [194 kB] 121s Get:37 http://ftpmaster.internal/ubuntu questing/main arm64 libtiff6 arm64 4.5.1+git230720-4ubuntu4 [193 kB] 121s Get:38 http://ftpmaster.internal/ubuntu questing/main arm64 libwebpdemux2 arm64 1.5.0-0.1 [12.5 kB] 121s Get:39 http://ftpmaster.internal/ubuntu questing/main arm64 libwebpmux3 arm64 1.5.0-0.1 [25.4 kB] 121s Get:40 http://ftpmaster.internal/ubuntu questing/universe arm64 libxgboost0 arm64 2.1.4-1build1 [2039 kB] 121s Get:41 http://ftpmaster.internal/ubuntu questing/universe arm64 libxgboost-dev arm64 2.1.4-1build1 [74.3 kB] 121s Get:42 http://ftpmaster.internal/ubuntu questing/main arm64 libxslt1.1 arm64 1.1.39-0exp1ubuntu4 [168 kB] 121s Get:43 http://ftpmaster.internal/ubuntu questing-proposed/universe arm64 python-matplotlib-data all 3.10.1+dfsg1-3 [2936 kB] 121s Get:44 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-brotli arm64 1.1.0-2build4 [342 kB] 121s Get:45 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-contourpy arm64 1.3.1-1build1 [182 kB] 121s Get:46 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-cycler all 0.12.1-1 [9716 B] 121s Get:47 http://ftpmaster.internal/ubuntu questing/main arm64 python3-dateutil all 2.9.0-4 [80.3 kB] 121s Get:48 http://ftpmaster.internal/ubuntu questing/main arm64 python3-decorator all 5.1.1-5 [10.1 kB] 121s Get:49 http://ftpmaster.internal/ubuntu questing/main arm64 python3-platformdirs all 4.3.6-1 [16.8 kB] 121s Get:50 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-fs all 2.4.16-7 [90.8 kB] 121s Get:51 http://ftpmaster.internal/ubuntu questing/main arm64 python3-lxml arm64 5.3.2-1 [1258 kB] 121s Get:52 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-lz4 arm64 4.4.0+dfsg-1build1 [27.1 kB] 121s Get:53 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-scipy arm64 1.14.1-4ubuntu2 [16.7 MB] 122s Get:54 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-mpmath all 1.3.0-1 [425 kB] 122s Get:55 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-sympy all 1.13.3-5 [4229 kB] 122s Get:56 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB] 122s Get:57 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-unicodedata2 arm64 15.1.0+ds-1build3 [360 kB] 122s Get:58 http://ftpmaster.internal/ubuntu questing/universe arm64 unicode-data all 15.1.0-1 [8878 kB] 122s Get:59 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-fonttools arm64 4.55.3-2build1 [1466 kB] 122s Get:60 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-joblib all 1.4.2-3 [205 kB] 122s Get:61 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-kiwisolver arm64 1.4.7-3build1 [50.7 kB] 122s Get:62 http://ftpmaster.internal/ubuntu questing/main arm64 libopenjp2-7 arm64 2.5.3-2 [183 kB] 122s Get:63 http://ftpmaster.internal/ubuntu questing/main arm64 python3-pil arm64 11.1.0-5build1 [463 kB] 122s Get:64 http://ftpmaster.internal/ubuntu questing/main arm64 python3.13-tk arm64 3.13.3-1 [106 kB] 122s Get:65 http://ftpmaster.internal/ubuntu questing/main arm64 python3-tk arm64 3.13.3-1 [9856 B] 122s Get:66 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-pil.imagetk arm64 11.1.0-5build1 [9892 B] 122s Get:67 http://ftpmaster.internal/ubuntu questing/main arm64 python3-packaging all 24.2-1 [51.5 kB] 122s Get:68 http://ftpmaster.internal/ubuntu questing-proposed/universe arm64 python3-matplotlib arm64 3.10.1+dfsg1-3 [18.0 MB] 123s Get:69 http://ftpmaster.internal/ubuntu questing/main arm64 python3-pytz all 2025.1-3 [162 kB] 123s Get:70 http://ftpmaster.internal/ubuntu questing/main arm64 python3-tz all 2025.1-3 [1866 B] 123s Get:71 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-pandas-lib arm64 2.2.3+dfsg-8build1 [4586 kB] 123s Get:72 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-pandas all 2.2.3+dfsg-8build1 [3112 kB] 123s Get:73 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-threadpoolctl all 3.1.0-1 [21.3 kB] 123s Get:74 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-sklearn-lib arm64 1.4.2+dfsg-8 [4109 kB] 123s Get:75 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-sklearn all 1.4.2+dfsg-8 [2258 kB] 124s Get:76 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-xgboost arm64 2.1.4-1build1 [119 kB] 124s Fetched 86.7 MB in 4s (21.0 MB/s) 124s Selecting previously unselected package python3-numpy-dev:arm64. 124s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 117821 files and directories currently installed.) 124s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.3+ds-5_arm64.deb ... 124s Unpacking python3-numpy-dev:arm64 (1:2.2.3+ds-5) ... 124s Selecting previously unselected package libblas3:arm64. 124s Preparing to unpack .../01-libblas3_3.12.1-2_arm64.deb ... 124s Unpacking libblas3:arm64 (3.12.1-2) ... 124s Selecting previously unselected package libgfortran5:arm64. 124s Preparing to unpack .../02-libgfortran5_15-20250404-0ubuntu1_arm64.deb ... 124s Unpacking libgfortran5:arm64 (15-20250404-0ubuntu1) ... 124s Selecting previously unselected package liblapack3:arm64. 124s Preparing to unpack .../03-liblapack3_3.12.1-2_arm64.deb ... 124s Unpacking liblapack3:arm64 (3.12.1-2) ... 124s Selecting previously unselected package python3-numpy. 124s Preparing to unpack .../04-python3-numpy_1%3a2.2.3+ds-5_arm64.deb ... 124s Unpacking python3-numpy (1:2.2.3+ds-5) ... 124s Selecting previously unselected package libtcl8.6:arm64. 124s Preparing to unpack .../05-libtcl8.6_8.6.16+dfsg-1_arm64.deb ... 124s Unpacking libtcl8.6:arm64 (8.6.16+dfsg-1) ... 125s Selecting previously unselected package fonts-dejavu-mono. 125s Preparing to unpack .../06-fonts-dejavu-mono_2.37-8_all.deb ... 125s Unpacking fonts-dejavu-mono (2.37-8) ... 125s Selecting previously unselected package fonts-dejavu-core. 125s Preparing to unpack .../07-fonts-dejavu-core_2.37-8_all.deb ... 125s Unpacking fonts-dejavu-core (2.37-8) ... 125s Selecting previously unselected package fontconfig-config. 125s Preparing to unpack .../08-fontconfig-config_2.15.0-2.2ubuntu1_arm64.deb ... 125s Unpacking fontconfig-config (2.15.0-2.2ubuntu1) ... 125s Selecting previously unselected package libfontconfig1:arm64. 125s Preparing to unpack .../09-libfontconfig1_2.15.0-2.2ubuntu1_arm64.deb ... 125s Unpacking libfontconfig1:arm64 (2.15.0-2.2ubuntu1) ... 125s Selecting previously unselected package libxrender1:arm64. 125s Preparing to unpack .../10-libxrender1_1%3a0.9.10-1.1build1_arm64.deb ... 125s Unpacking libxrender1:arm64 (1:0.9.10-1.1build1) ... 125s Selecting previously unselected package libxft2:arm64. 125s Preparing to unpack .../11-libxft2_2.3.6-1build1_arm64.deb ... 125s Unpacking libxft2:arm64 (2.3.6-1build1) ... 125s Selecting previously unselected package x11-common. 125s Preparing to unpack .../12-x11-common_1%3a7.7+23ubuntu4_all.deb ... 125s Unpacking x11-common (1:7.7+23ubuntu4) ... 125s Selecting previously unselected package libxss1:arm64. 125s Preparing to unpack .../13-libxss1_1%3a1.2.3-1build3_arm64.deb ... 125s Unpacking libxss1:arm64 (1:1.2.3-1build3) ... 125s Selecting previously unselected package libtk8.6:arm64. 125s Preparing to unpack .../14-libtk8.6_8.6.16-1_arm64.deb ... 125s Unpacking libtk8.6:arm64 (8.6.16-1) ... 125s Selecting previously unselected package tk8.6-blt2.5. 125s Preparing to unpack .../15-tk8.6-blt2.5_2.5.3+dfsg-8_arm64.deb ... 125s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-8) ... 125s Selecting previously unselected package blt. 125s Preparing to unpack .../16-blt_2.5.3+dfsg-8_arm64.deb ... 125s Unpacking blt (2.5.3+dfsg-8) ... 125s Selecting previously unselected package fonts-lyx. 125s Preparing to unpack .../17-fonts-lyx_2.4.3-1_all.deb ... 125s Unpacking fonts-lyx (2.4.3-1) ... 125s Selecting previously unselected package libdeflate0:arm64. 125s Preparing to unpack .../18-libdeflate0_1.23-1_arm64.deb ... 125s Unpacking libdeflate0:arm64 (1.23-1) ... 125s Selecting previously unselected package libgomp1:arm64. 125s Preparing to unpack .../19-libgomp1_15-20250404-0ubuntu1_arm64.deb ... 125s Unpacking libgomp1:arm64 (15-20250404-0ubuntu1) ... 125s Selecting previously unselected package libdmlc0t64:arm64. 125s Preparing to unpack .../20-libdmlc0t64_0.5+git20240614.1334185-1_arm64.deb ... 125s Unpacking libdmlc0t64:arm64 (0.5+git20240614.1334185-1) ... 126s Selecting previously unselected package libgraphite2-3:arm64. 126s Preparing to unpack .../21-libgraphite2-3_1.3.14-2ubuntu1_arm64.deb ... 126s Unpacking libgraphite2-3:arm64 (1.3.14-2ubuntu1) ... 126s Selecting previously unselected package libharfbuzz0b:arm64. 126s Preparing to unpack .../22-libharfbuzz0b_10.2.0-1_arm64.deb ... 126s Unpacking libharfbuzz0b:arm64 (10.2.0-1) ... 126s Selecting previously unselected package libimagequant0:arm64. 126s Preparing to unpack .../23-libimagequant0_2.18.0-1build1_arm64.deb ... 126s Unpacking libimagequant0:arm64 (2.18.0-1build1) ... 126s Selecting previously unselected package libjpeg-turbo8:arm64. 126s Preparing to unpack .../24-libjpeg-turbo8_2.1.5-3ubuntu2_arm64.deb ... 126s Unpacking libjpeg-turbo8:arm64 (2.1.5-3ubuntu2) ... 126s Selecting previously unselected package libjpeg8:arm64. 126s Preparing to unpack .../25-libjpeg8_8c-2ubuntu11_arm64.deb ... 126s Unpacking libjpeg8:arm64 (8c-2ubuntu11) ... 126s Selecting previously unselected package libjs-jquery. 126s Preparing to unpack .../26-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ... 126s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 126s Selecting previously unselected package libjs-jquery-ui. 126s Preparing to unpack .../27-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ... 126s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ... 126s Selecting previously unselected package liblbfgsb0:arm64. 126s Preparing to unpack .../28-liblbfgsb0_3.0+dfsg.4-1build1_arm64.deb ... 126s Unpacking liblbfgsb0:arm64 (3.0+dfsg.4-1build1) ... 126s Selecting previously unselected package liblcms2-2:arm64. 126s Preparing to unpack .../29-liblcms2-2_2.16-2_arm64.deb ... 126s Unpacking liblcms2-2:arm64 (2.16-2) ... 126s Selecting previously unselected package liblerc4:arm64. 126s Preparing to unpack .../30-liblerc4_4.0.0+ds-5ubuntu1_arm64.deb ... 126s Unpacking liblerc4:arm64 (4.0.0+ds-5ubuntu1) ... 126s Selecting previously unselected package libqhull-r8.0:arm64. 126s Preparing to unpack .../31-libqhull-r8.0_2020.2-6build1_arm64.deb ... 126s Unpacking libqhull-r8.0:arm64 (2020.2-6build1) ... 126s Selecting previously unselected package libraqm0:arm64. 126s Preparing to unpack .../32-libraqm0_0.10.2-1_arm64.deb ... 126s Unpacking libraqm0:arm64 (0.10.2-1) ... 126s Selecting previously unselected package libsharpyuv0:arm64. 126s Preparing to unpack .../33-libsharpyuv0_1.5.0-0.1_arm64.deb ... 126s Unpacking libsharpyuv0:arm64 (1.5.0-0.1) ... 126s Selecting previously unselected package libjbig0:arm64. 126s Preparing to unpack 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python3-pandas (2.2.3+dfsg-8build1) ... 130s Selecting previously unselected package python3-threadpoolctl. 130s Preparing to unpack .../72-python3-threadpoolctl_3.1.0-1_all.deb ... 130s Unpacking python3-threadpoolctl (3.1.0-1) ... 130s Selecting previously unselected package python3-sklearn-lib:arm64. 130s Preparing to unpack .../73-python3-sklearn-lib_1.4.2+dfsg-8_arm64.deb ... 130s Unpacking python3-sklearn-lib:arm64 (1.4.2+dfsg-8) ... 130s Selecting previously unselected package python3-sklearn. 130s Preparing to unpack .../74-python3-sklearn_1.4.2+dfsg-8_all.deb ... 130s Unpacking python3-sklearn (1.4.2+dfsg-8) ... 130s Selecting previously unselected package python3-xgboost. 130s Preparing to unpack .../75-python3-xgboost_2.1.4-1build1_arm64.deb ... 130s Unpacking python3-xgboost (2.1.4-1build1) ... 130s Setting up libgraphite2-3:arm64 (1.3.14-2ubuntu1) ... 130s Setting up liblcms2-2:arm64 (2.16-2) ... 130s Setting up libsharpyuv0:arm64 (1.5.0-0.1) ... 130s Setting up liblerc4:arm64 (4.0.0+ds-5ubuntu1) ... 130s Setting up libxrender1:arm64 (1:0.9.10-1.1build1) ... 130s Setting up python3-joblib (1.4.2-3) ... 131s Setting up python3-lz4 (4.4.0+dfsg-1build1) ... 131s Setting up python3-unicodedata2 (15.1.0+ds-1build3) ... 131s Setting up fonts-lyx (2.4.3-1) ... 131s Setting up python3-threadpoolctl (3.1.0-1) ... 131s Setting up x11-common (1:7.7+23ubuntu4) ... 131s Setting up libdeflate0:arm64 (1.23-1) ... 131s Setting up libqhull-r8.0:arm64 (2020.2-6build1) ... 131s Setting up python3-pytz (2025.1-3) ... 132s Setting up libgomp1:arm64 (15-20250404-0ubuntu1) ... 132s Setting up libjbig0:arm64 (2.1-6.1ubuntu2) ... 132s Setting up python3-platformdirs (4.3.6-1) ... 132s Setting up python3-tz (2025.1-3) ... 132s Setting up python3-fs (2.4.16-7) ... 132s Setting up unicode-data (15.1.0-1) ... 132s Setting up python3-decorator (5.1.1-5) ... 132s Setting up libblas3:arm64 (3.12.1-2) ... 132s update-alternatives: using /usr/lib/aarch64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/aarch64-linux-gnu/libblas.so.3 (libblas.so.3-aarch64-linux-gnu) in auto mode 132s Setting up python3-packaging (24.2-1) ... 132s Setting up python3-brotli (1.1.0-2build4) ... 132s Setting up python3-cycler (0.12.1-1) ... 132s Setting up libimagequant0:arm64 (2.18.0-1build1) ... 132s Setting up fonts-dejavu-mono (2.37-8) ... 132s Setting up python3-kiwisolver (1.4.7-3build1) ... 133s Setting up python3-numpy-dev:arm64 (1:2.2.3+ds-5) ... 133s Setting up libtcl8.6:arm64 (8.6.16+dfsg-1) ... 133s Setting up fonts-dejavu-core (2.37-8) ... 133s Setting up libjpeg-turbo8:arm64 (2.1.5-3ubuntu2) ... 133s Setting up libgfortran5:arm64 (15-20250404-0ubuntu1) ... 133s Setting up libwebp7:arm64 (1.5.0-0.1) ... 133s Setting up libxslt1.1:arm64 (1.1.39-0exp1ubuntu4) ... 133s Setting up libopenjp2-7:arm64 (2.5.3-2) ... 133s Setting up libharfbuzz0b:arm64 (10.2.0-1) ... 133s Setting up python3-dateutil (2.9.0-4) ... 133s Setting up libxss1:arm64 (1:1.2.3-1build3) ... 133s Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 133s Setting up python3-mpmath (1.3.0-1) ... 133s Setting up python-matplotlib-data (3.10.1+dfsg1-3) ... 133s Setting up libwebpmux3:arm64 (1.5.0-0.1) ... 133s Setting up libjpeg8:arm64 (8c-2ubuntu11) ... 133s Setting up python3-sympy (1.13.3-5) ... 140s Setting up liblapack3:arm64 (3.12.1-2) ... 140s update-alternatives: using /usr/lib/aarch64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/aarch64-linux-gnu/liblapack.so.3 (liblapack.so.3-aarch64-linux-gnu) in auto mode 140s Setting up libdmlc0t64:arm64 (0.5+git20240614.1334185-1) ... 140s Setting up fontconfig-config (2.15.0-2.2ubuntu1) ... 141s Setting up libwebpdemux2:arm64 (1.5.0-0.1) ... 141s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... 141s Setting up libraqm0:arm64 (0.10.2-1) ... 141s Setting up python3-numpy (1:2.2.3+ds-5) ... 143s Setting up python3-lxml:arm64 (5.3.2-1) ... 143s Setting up libtiff6:arm64 (4.5.1+git230720-4ubuntu4) ... 143s Setting up libxgboost0 (2.1.4-1build1) ... 143s Setting up python3-contourpy (1.3.1-1build1) ... 143s Setting up libfontconfig1:arm64 (2.15.0-2.2ubuntu1) ... 143s Setting up liblbfgsb0:arm64 (3.0+dfsg.4-1build1) ... 143s Setting up libxft2:arm64 (2.3.6-1build1) ... 143s Setting up python3-scipy (1.14.1-4ubuntu2) ... 147s Setting up libtk8.6:arm64 (8.6.16-1) ... 147s Setting up python3-pandas-lib:arm64 (2.2.3+dfsg-8build1) ... 147s Setting up python3-sklearn-lib:arm64 (1.4.2+dfsg-8) ... 147s Setting up python3.13-tk (3.13.3-1) ... 147s Setting up python3-pil:arm64 (11.1.0-5build1) ... 147s Setting up python3-xgboost (2.1.4-1build1) ... 147s Setting up python3-pandas (2.2.3+dfsg-8build1) ... 153s Setting up libxgboost-dev (2.1.4-1build1) ... 153s Setting up python3-sklearn (1.4.2+dfsg-8) ... 155s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... 155s Setting up blt (2.5.3+dfsg-8) ... 155s Setting up python3-tk:arm64 (3.13.3-1) ... 155s Setting up python3-pil.imagetk:arm64 (11.1.0-5build1) ... 155s Setting up python3-fonttools (4.55.3-2build1) ... 156s Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... 156s Setting up python3-matplotlib (3.10.1+dfsg1-3) ... 158s Processing triggers for libc-bin (2.41-6ubuntu1) ... 158s Processing triggers for man-db (2.13.0-1) ... 159s autopkgtest [10:32:02]: test run-demos: [----------------------- 160s ========================================== 160s Running case basic_walkthrough.py... 161s [0] eval-logloss:0.22646 train-logloss:0.23316 161s [1] eval-logloss:0.13776 train-logloss:0.13654 161s error=0.021726 161s ========================================== 161s Running case boost_from_prediction.py... 162s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 162s warnings.warn(msg, FutureWarning) 162s start running example to start from a initial prediction 162s [0] eval-logloss:0.22646 train-logloss:0.23316 162s this is result of running from initial prediction 162s [0] eval-logloss:0.13776 train-logloss:0.13654 162s ========================================== 162s Running case callbacks.py... 164s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [10:32:07] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 164s warnings.warn(smsg, UserWarning) 164s [0] Train-error:0.03052 Train-rmse:0.35870 Valid-error:0.06993 Valid-rmse:0.37215 164s [1] Train-error:0.01174 Train-rmse:0.27804 Valid-error:0.04895 Valid-rmse:0.29761 164s [2] Train-error:0.01174 Train-rmse:0.21911 Valid-error:0.04895 Valid-rmse:0.25064 164s [3] Train-error:0.00939 Train-rmse:0.17913 Valid-error:0.02797 Valid-rmse:0.21447 164s [4] Train-error:0.00939 Train-rmse:0.14893 Valid-error:0.02797 Valid-rmse:0.19740 164s [5] Train-error:0.00939 Train-rmse:0.12816 Valid-error:0.03497 Valid-rmse:0.18098 164s [6] Train-error:0.00704 Train-rmse:0.11060 Valid-error:0.03497 Valid-rmse:0.17131 164s [7] Train-error:0.00704 Train-rmse:0.09947 Valid-error:0.03497 Valid-rmse:0.16077 164s [8] Train-error:0.00469 Train-rmse:0.08816 Valid-error:0.02797 Valid-rmse:0.14865 164s [9] Train-error:0.00469 Train-rmse:0.07863 Valid-error:0.03497 Valid-rmse:0.15073 164s [10] Train-error:0.00469 Train-rmse:0.07164 Valid-error:0.02098 Valid-rmse:0.14161 164s [11] Train-error:0.00469 Train-rmse:0.06692 Valid-error:0.01399 Valid-rmse:0.14028 164s [12] Train-error:0.00235 Train-rmse:0.06216 Valid-error:0.01399 Valid-rmse:0.13727 165s [13] Train-error:0.00235 Train-rmse:0.05811 Valid-error:0.01399 Valid-rmse:0.13495 165s [14] Train-error:0.00000 Train-rmse:0.05532 Valid-error:0.02098 Valid-rmse:0.13500 165s [15] Train-error:0.00000 Train-rmse:0.05178 Valid-error:0.02098 Valid-rmse:0.13226 165s [16] Train-error:0.00000 Train-rmse:0.04924 Valid-error:0.02098 Valid-rmse:0.13329 165s [17] Train-error:0.00000 Train-rmse:0.04656 Valid-error:0.01399 Valid-rmse:0.13183 165s [18] Train-error:0.00000 Train-rmse:0.04437 Valid-error:0.01399 Valid-rmse:0.13353 165s [19] Train-error:0.00000 Train-rmse:0.04272 Valid-error:0.02098 Valid-rmse:0.13468 165s [20] Train-error:0.00000 Train-rmse:0.04030 Valid-error:0.02098 Valid-rmse:0.13419 165s [21] Train-error:0.00000 Train-rmse:0.03869 Valid-error:0.02797 Valid-rmse:0.13543 165s [22] Train-error:0.00000 Train-rmse:0.03548 Valid-error:0.03497 Valid-rmse:0.13316 165s [23] Train-error:0.00000 Train-rmse:0.03444 Valid-error:0.03497 Valid-rmse:0.13637 165s [24] Train-error:0.00000 Train-rmse:0.03369 Valid-error:0.04196 Valid-rmse:0.13663 165s [25] Train-error:0.00000 Train-rmse:0.03213 Valid-error:0.03497 Valid-rmse:0.13386 165s [26] Train-error:0.00000 Train-rmse:0.03100 Valid-error:0.03497 Valid-rmse:0.13180 165s [27] Train-error:0.00000 Train-rmse:0.03036 Valid-error:0.03497 Valid-rmse:0.13263 165s [28] Train-error:0.00000 Train-rmse:0.02957 Valid-error:0.04196 Valid-rmse:0.13493 165s [29] Train-error:0.00000 Train-rmse:0.02866 Valid-error:0.03497 Valid-rmse:0.13487 165s [30] Train-error:0.00000 Train-rmse:0.02851 Valid-error:0.04196 Valid-rmse:0.13384 165s [31] Train-error:0.00000 Train-rmse:0.02721 Valid-error:0.02797 Valid-rmse:0.13117 165s [32] Train-error:0.00000 Train-rmse:0.02615 Valid-error:0.03497 Valid-rmse:0.13188 165s [33] Train-error:0.00000 Train-rmse:0.02559 Valid-error:0.03497 Valid-rmse:0.13096 165s [34] Train-error:0.00000 Train-rmse:0.02520 Valid-error:0.04196 Valid-rmse:0.13283 165s [35] Train-error:0.00000 Train-rmse:0.02438 Valid-error:0.03497 Valid-rmse:0.13220 165s [36] Train-error:0.00000 Train-rmse:0.02356 Valid-error:0.03497 Valid-rmse:0.13030 165s [37] Train-error:0.00000 Train-rmse:0.02348 Valid-error:0.03497 Valid-rmse:0.12942 165s [38] Train-error:0.00000 Train-rmse:0.02337 Valid-error:0.03497 Valid-rmse:0.12955 165s [39] Train-error:0.00000 Train-rmse:0.02265 Valid-error:0.02797 Valid-rmse:0.12785 165s [40] Train-error:0.00000 Train-rmse:0.02283 Valid-error:0.03497 Valid-rmse:0.12889 165s [41] Train-error:0.00000 Train-rmse:0.02255 Valid-error:0.03497 Valid-rmse:0.13066 165s [42] Train-error:0.00000 Train-rmse:0.02190 Valid-error:0.03497 Valid-rmse:0.12905 165s [43] Train-error:0.00000 Train-rmse:0.02173 Valid-error:0.03497 Valid-rmse:0.12833 166s [44] Train-error:0.00000 Train-rmse:0.02180 Valid-error:0.03497 Valid-rmse:0.12884 166s [45] Train-error:0.00000 Train-rmse:0.02153 Valid-error:0.03497 Valid-rmse:0.13050 166s [46] Train-error:0.00000 Train-rmse:0.02149 Valid-error:0.03497 Valid-rmse:0.12927 166s [47] Train-error:0.00000 Train-rmse:0.02134 Valid-error:0.02797 Valid-rmse:0.13012 166s [48] Train-error:0.00000 Train-rmse:0.02119 Valid-error:0.03497 Valid-rmse:0.12936 166s [49] Train-error:0.00000 Train-rmse:0.02124 Valid-error:0.02797 Valid-rmse:0.12989 166s [50] Train-error:0.00000 Train-rmse:0.02116 Valid-error:0.02797 Valid-rmse:0.13014 166s [51] Train-error:0.00000 Train-rmse:0.02107 Valid-error:0.02797 Valid-rmse:0.12953 166s [52] Train-error:0.00000 Train-rmse:0.02121 Valid-error:0.02797 Valid-rmse:0.12976 166s [53] Train-error:0.00000 Train-rmse:0.02080 Valid-error:0.02797 Valid-rmse:0.12903 166s [54] Train-error:0.00000 Train-rmse:0.02060 Valid-error:0.02797 Valid-rmse:0.13032 166s [55] Train-error:0.00000 Train-rmse:0.02069 Valid-error:0.02797 Valid-rmse:0.13027 166s [56] Train-error:0.00000 Train-rmse:0.02039 Valid-error:0.02797 Valid-rmse:0.12900 166s [57] Train-error:0.00000 Train-rmse:0.02031 Valid-error:0.02797 Valid-rmse:0.12845 166s [58] Train-error:0.00000 Train-rmse:0.02047 Valid-error:0.02797 Valid-rmse:0.12928 166s [59] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12865 166s [60] Train-error:0.00000 Train-rmse:0.02027 Valid-error:0.02797 Valid-rmse:0.12884 166s [61] Train-error:0.00000 Train-rmse:0.02023 Valid-error:0.02797 Valid-rmse:0.12917 166s [62] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12947 166s [63] Train-error:0.00000 Train-rmse:0.01986 Valid-error:0.02797 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Train-error:0.00000 Train-rmse:0.01912 Valid-error:0.02797 Valid-rmse:0.12821 167s [76] Train-error:0.00000 Train-rmse:0.01906 Valid-error:0.02797 Valid-rmse:0.12814 167s [77] Train-error:0.00000 Train-rmse:0.01897 Valid-error:0.02797 Valid-rmse:0.12845 167s [78] Train-error:0.00000 Train-rmse:0.01875 Valid-error:0.02797 Valid-rmse:0.12734 167s [79] Train-error:0.00000 Train-rmse:0.01873 Valid-error:0.02797 Valid-rmse:0.12765 167s [80] Train-error:0.00000 Train-rmse:0.01866 Valid-error:0.02797 Valid-rmse:0.12793 167s [81] Train-error:0.00000 Train-rmse:0.01869 Valid-error:0.02797 Valid-rmse:0.12708 167s [82] Train-error:0.00000 Train-rmse:0.01844 Valid-error:0.02797 Valid-rmse:0.12642 167s [83] Train-error:0.00000 Train-rmse:0.01857 Valid-error:0.02797 Valid-rmse:0.12709 167s [84] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12674 167s [85] Train-error:0.00000 Train-rmse:0.01862 Valid-error:0.02797 Valid-rmse:0.12712 167s [86] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12754 167s [87] Train-error:0.00000 Train-rmse:0.01829 Valid-error:0.02797 Valid-rmse:0.12693 167s [88] Train-error:0.00000 Train-rmse:0.01821 Valid-error:0.02797 Valid-rmse:0.12788 167s [89] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12782 167s [90] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12768 167s [91] Train-error:0.00000 Train-rmse:0.01809 Valid-error:0.02797 Valid-rmse:0.12797 167s [92] Train-error:0.00000 Train-rmse:0.01807 Valid-error:0.02797 Valid-rmse:0.12768 167s [93] Train-error:0.00000 Train-rmse:0.01798 Valid-error:0.02797 Valid-rmse:0.12858 167s [94] Train-error:0.00000 Train-rmse:0.01776 Valid-error:0.02797 Valid-rmse:0.12801 167s [95] Train-error:0.00000 Train-rmse:0.01786 Valid-error:0.02797 Valid-rmse:0.12804 167s [96] Train-error:0.00000 Train-rmse:0.01779 Valid-error:0.02797 Valid-rmse:0.12844 167s [97] Train-error:0.00000 Train-rmse:0.01778 Valid-error:0.02797 Valid-rmse:0.12875 167s [98] Train-error:0.00000 Train-rmse:0.01759 Valid-error:0.02797 Valid-rmse:0.12806 167s [99] Train-error:0.00000 Train-rmse:0.01771 Valid-error:0.02797 Valid-rmse:0.12865 168s ========================================== 168s Skip case cat_in_the_dat.py... 168s ========================================== 168s Running case cat_pipeline.py... 169s ========================================== 169s Running case categorical.py... 170s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [10:32:13] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 170s warnings.warn(smsg, UserWarning) 170s [0] validation_0-rmse:2.94171 170s [1] validation_0-rmse:2.40095 170s [2] validation_0-rmse:1.96121 170s [3] validation_0-rmse:1.61285 170s [4] validation_0-rmse:1.35854 170s [5] validation_0-rmse:1.12286 170s [6] validation_0-rmse:0.96789 170s [7] validation_0-rmse:0.79707 170s [8] validation_0-rmse:0.66201 170s [9] 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validation_0-rmse:0.00075 170s [98] validation_0-rmse:0.00075 170s [99] validation_0-rmse:0.00075 171s ========================================== 171s Running case continuation.py... 171s [0] validation_0-logloss:0.43281 171s [1] validation_0-logloss:0.30816 171s [2] validation_0-logloss:0.22816 171s [3] validation_0-logloss:0.17470 171s [4] validation_0-logloss:0.13438 171s [5] validation_0-logloss:0.10538 171s [6] validation_0-logloss:0.08467 171s [7] validation_0-logloss:0.06909 171s [8] validation_0-logloss:0.05766 171s [9] validation_0-logloss:0.04842 172s [10] validation_0-logloss:0.04121 172s [11] validation_0-logloss:0.03545 172s [12] validation_0-logloss:0.03077 172s [13] validation_0-logloss:0.02742 172s [14] validation_0-logloss:0.02444 172s [15] validation_0-logloss:0.02208 172s [16] validation_0-logloss:0.01993 172s [17] validation_0-logloss:0.01819 172s [18] validation_0-logloss:0.01676 172s [19] validation_0-logloss:0.01575 172s [20] validation_0-logloss:0.01461 172s 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validation_0-logloss:0.00662 172s [47] validation_0-logloss:0.00650 172s [48] validation_0-logloss:0.00637 172s [49] validation_0-logloss:0.00628 172s [50] validation_0-logloss:0.00623 172s [51] validation_0-logloss:0.00618 172s [52] validation_0-logloss:0.00614 172s [53] validation_0-logloss:0.00609 172s [54] validation_0-logloss:0.00600 172s [55] validation_0-logloss:0.00590 172s [56] validation_0-logloss:0.00582 172s [57] validation_0-logloss:0.00578 172s [58] validation_0-logloss:0.00570 172s [59] validation_0-logloss:0.00566 172s [60] validation_0-logloss:0.00563 172s [61] validation_0-logloss:0.00559 172s [62] validation_0-logloss:0.00556 172s [63] validation_0-logloss:0.00553 172s [64] validation_0-logloss:0.00549 172s [65] validation_0-logloss:0.00546 172s [66] validation_0-logloss:0.00543 172s [67] validation_0-logloss:0.00540 172s [68] validation_0-logloss:0.00537 172s [69] validation_0-logloss:0.00534 172s [70] validation_0-logloss:0.00531 172s [71] validation_0-logloss:0.00528 172s [72] validation_0-logloss:0.00525 172s [73] validation_0-logloss:0.00523 172s [74] validation_0-logloss:0.00520 172s [75] validation_0-logloss:0.00517 172s [76] validation_0-logloss:0.00515 172s [77] validation_0-logloss:0.00512 172s [78] validation_0-logloss:0.00510 172s [79] validation_0-logloss:0.00507 172s [80] validation_0-logloss:0.00505 172s [81] validation_0-logloss:0.00502 172s [82] validation_0-logloss:0.00500 172s [83] validation_0-logloss:0.00498 172s [84] validation_0-logloss:0.00496 172s [85] validation_0-logloss:0.00493 172s [86] validation_0-logloss:0.00491 172s [87] validation_0-logloss:0.00489 172s [88] validation_0-logloss:0.00486 172s [89] validation_0-logloss:0.00484 172s [90] validation_0-logloss:0.00482 172s [91] validation_0-logloss:0.00480 172s [92] validation_0-logloss:0.00478 172s [93] validation_0-logloss:0.00476 172s [94] validation_0-logloss:0.00474 172s [95] validation_0-logloss:0.00472 172s [96] validation_0-logloss:0.00470 172s [97] validation_0-logloss:0.00468 172s [98] validation_0-logloss:0.00466 172s [99] validation_0-logloss:0.00464 172s [100] validation_0-logloss:0.00463 172s [101] validation_0-logloss:0.00461 172s [102] validation_0-logloss:0.00459 172s [103] validation_0-logloss:0.00457 172s [104] validation_0-logloss:0.00456 172s [105] validation_0-logloss:0.00454 172s [106] validation_0-logloss:0.00452 172s [107] validation_0-logloss:0.00451 172s [108] validation_0-logloss:0.00449 172s [109] validation_0-logloss:0.00448 172s [110] validation_0-logloss:0.00446 172s [111] validation_0-logloss:0.00444 172s [112] validation_0-logloss:0.00443 172s [113] validation_0-logloss:0.00441 172s [114] validation_0-logloss:0.00440 172s [115] validation_0-logloss:0.00438 172s [116] validation_0-logloss:0.00437 172s [117] validation_0-logloss:0.00435 172s [118] validation_0-logloss:0.00434 172s [119] validation_0-logloss:0.00433 172s [120] validation_0-logloss:0.00431 172s [121] validation_0-logloss:0.00430 172s [122] validation_0-logloss:0.00429 172s [123] validation_0-logloss:0.00427 172s [124] validation_0-logloss:0.00426 172s [125] validation_0-logloss:0.00425 172s [126] validation_0-logloss:0.00423 172s [127] validation_0-logloss:0.00422 172s [128] validation_0-logloss:0.00421 172s [129] validation_0-logloss:0.00420 172s [130] validation_0-logloss:0.00419 172s [131] validation_0-logloss:0.00417 172s [132] validation_0-logloss:0.00416 172s [133] validation_0-logloss:0.00415 172s [134] validation_0-logloss:0.00414 172s [135] validation_0-logloss:0.00413 172s [136] validation_0-logloss:0.00412 172s [137] validation_0-logloss:0.00411 172s [138] validation_0-logloss:0.00410 172s [139] validation_0-logloss:0.00409 172s [140] validation_0-logloss:0.00408 172s [141] validation_0-logloss:0.00407 172s [142] validation_0-logloss:0.00406 172s [143] validation_0-logloss:0.00405 172s [144] validation_0-logloss:0.00404 172s [145] validation_0-logloss:0.00403 172s [146] validation_0-logloss:0.00402 172s [147] validation_0-logloss:0.00401 172s [148] validation_0-logloss:0.00400 172s [149] validation_0-logloss:0.00399 172s [150] validation_0-logloss:0.00398 172s [151] validation_0-logloss:0.00397 172s [152] validation_0-logloss:0.00396 172s [153] validation_0-logloss:0.00396 172s [154] validation_0-logloss:0.00395 172s [155] validation_0-logloss:0.00394 172s [156] validation_0-logloss:0.00393 172s [157] validation_0-logloss:0.00392 172s [158] validation_0-logloss:0.00391 172s [159] validation_0-logloss:0.00391 172s [160] validation_0-logloss:0.00390 172s [161] validation_0-logloss:0.00389 172s [162] validation_0-logloss:0.00388 172s [163] validation_0-logloss:0.00388 172s [164] validation_0-logloss:0.00387 172s [165] validation_0-logloss:0.00386 172s [166] validation_0-logloss:0.00385 172s [167] validation_0-logloss:0.00385 172s [168] validation_0-logloss:0.00384 172s [169] validation_0-logloss:0.00383 172s [170] validation_0-logloss:0.00383 172s [171] validation_0-logloss:0.00382 172s [172] validation_0-logloss:0.00381 172s [173] validation_0-logloss:0.00381 172s [174] validation_0-logloss:0.00380 172s [175] validation_0-logloss:0.00380 172s [176] validation_0-logloss:0.00379 172s [177] validation_0-logloss:0.00379 172s [178] validation_0-logloss:0.00378 172s [179] validation_0-logloss:0.00378 172s [180] validation_0-logloss:0.00377 172s [181] validation_0-logloss:0.00377 172s [182] validation_0-logloss:0.00376 172s [183] validation_0-logloss:0.00376 172s [184] validation_0-logloss:0.00375 172s [185] validation_0-logloss:0.00375 172s [186] validation_0-logloss:0.00374 172s [187] validation_0-logloss:0.00374 172s [188] validation_0-logloss:0.00373 172s [189] validation_0-logloss:0.00373 172s [190] validation_0-logloss:0.00373 172s [191] validation_0-logloss:0.00372 172s [192] validation_0-logloss:0.00372 172s [193] validation_0-logloss:0.00372 172s [194] validation_0-logloss:0.00371 172s [195] validation_0-logloss:0.00371 172s [196] validation_0-logloss:0.00371 172s [197] validation_0-logloss:0.00371 172s [198] validation_0-logloss:0.00371 172s Total boosted rounds: 195 172s [0] validation_0-logloss:0.43281 172s [1] validation_0-logloss:0.30816 172s [2] validation_0-logloss:0.22816 172s [3] validation_0-logloss:0.17470 172s [4] validation_0-logloss:0.13438 172s [5] validation_0-logloss:0.10538 172s [6] validation_0-logloss:0.08467 172s [7] validation_0-logloss:0.06909 172s [8] validation_0-logloss:0.05766 172s [9] validation_0-logloss:0.04842 172s [10] validation_0-logloss:0.04121 172s [11] validation_0-logloss:0.03545 172s [12] validation_0-logloss:0.03077 172s [13] validation_0-logloss:0.02742 172s [14] validation_0-logloss:0.02444 172s [15] validation_0-logloss:0.02208 172s [16] validation_0-logloss:0.01993 172s [17] validation_0-logloss:0.01819 172s [18] validation_0-logloss:0.01676 172s [19] validation_0-logloss:0.01575 172s [20] validation_0-logloss:0.01461 172s [21] validation_0-logloss:0.01383 172s [22] validation_0-logloss:0.01304 172s [23] validation_0-logloss:0.01243 172s [24] validation_0-logloss:0.01179 172s [25] validation_0-logloss:0.01142 172s [26] validation_0-logloss:0.01103 172s [27] validation_0-logloss:0.01066 172s [28] validation_0-logloss:0.01037 172s [29] validation_0-logloss:0.00993 172s [30] validation_0-logloss:0.00966 172s [31] validation_0-logloss:0.00920 172s [32] validation_0-logloss:0.00900 172s [33] validation_0-logloss:0.00876 172s [34] validation_0-logloss:0.00852 172s [35] validation_0-logloss:0.00835 172s [36] validation_0-logloss:0.00810 172s [37] validation_0-logloss:0.00791 172s [38] validation_0-logloss:0.00764 172s [39] validation_0-logloss:0.00753 172s [40] validation_0-logloss:0.00739 172s [41] validation_0-logloss:0.00723 172s [42] validation_0-logloss:0.00706 172s [43] validation_0-logloss:0.00695 172s [44] validation_0-logloss:0.00688 172s [45] validation_0-logloss:0.00671 172s [46] validation_0-logloss:0.00662 172s [47] validation_0-logloss:0.00650 172s [48] validation_0-logloss:0.00637 172s [49] validation_0-logloss:0.00628 172s [50] validation_0-logloss:0.00623 172s [51] validation_0-logloss:0.00618 172s [52] validation_0-logloss:0.00614 172s [53] validation_0-logloss:0.00609 172s [54] validation_0-logloss:0.00600 172s [55] validation_0-logloss:0.00590 172s [56] validation_0-logloss:0.00582 172s [57] validation_0-logloss:0.00578 172s [58] validation_0-logloss:0.00570 172s [59] validation_0-logloss:0.00566 172s [60] validation_0-logloss:0.00563 172s [61] validation_0-logloss:0.00559 172s [62] validation_0-logloss:0.00556 172s [63] validation_0-logloss:0.00553 172s [64] validation_0-logloss:0.00549 172s [65] validation_0-logloss:0.00546 172s [66] validation_0-logloss:0.00543 172s [67] validation_0-logloss:0.00540 172s [68] validation_0-logloss:0.00537 172s [69] validation_0-logloss:0.00534 172s [70] validation_0-logloss:0.00531 172s [71] validation_0-logloss:0.00528 172s [72] validation_0-logloss:0.00525 172s [73] validation_0-logloss:0.00523 172s [74] validation_0-logloss:0.00520 172s [75] validation_0-logloss:0.00517 172s [76] validation_0-logloss:0.00515 172s [77] validation_0-logloss:0.00512 172s [78] validation_0-logloss:0.00510 172s [79] validation_0-logloss:0.00507 172s [80] validation_0-logloss:0.00505 172s [81] validation_0-logloss:0.00502 172s [82] validation_0-logloss:0.00500 172s [83] validation_0-logloss:0.00498 172s [84] validation_0-logloss:0.00496 172s [85] validation_0-logloss:0.00493 172s [86] validation_0-logloss:0.00491 172s [87] validation_0-logloss:0.00489 172s [88] validation_0-logloss:0.00486 172s [89] validation_0-logloss:0.00484 172s [90] validation_0-logloss:0.00482 172s [91] validation_0-logloss:0.00480 172s [92] validation_0-logloss:0.00478 172s [93] validation_0-logloss:0.00476 172s [94] validation_0-logloss:0.00474 172s [95] validation_0-logloss:0.00472 172s [96] validation_0-logloss:0.00470 172s [97] validation_0-logloss:0.00468 172s [98] validation_0-logloss:0.00466 172s [99] validation_0-logloss:0.00464 172s [100] validation_0-logloss:0.00463 172s [101] validation_0-logloss:0.00461 172s [102] validation_0-logloss:0.00459 172s [103] validation_0-logloss:0.00457 172s [104] validation_0-logloss:0.00456 172s [105] validation_0-logloss:0.00454 172s [106] validation_0-logloss:0.00452 172s [107] validation_0-logloss:0.00451 172s [108] validation_0-logloss:0.00449 172s [109] validation_0-logloss:0.00448 172s [110] validation_0-logloss:0.00446 172s [111] validation_0-logloss:0.00444 172s [112] validation_0-logloss:0.00443 172s [113] validation_0-logloss:0.00441 172s [114] validation_0-logloss:0.00440 172s [115] validation_0-logloss:0.00438 172s [116] validation_0-logloss:0.00437 172s [117] validation_0-logloss:0.00435 172s [118] validation_0-logloss:0.00434 172s [119] validation_0-logloss:0.00433 172s [120] validation_0-logloss:0.00431 172s [121] validation_0-logloss:0.00430 172s [122] validation_0-logloss:0.00429 172s [123] validation_0-logloss:0.00427 172s [124] validation_0-logloss:0.00426 172s [125] validation_0-logloss:0.00425 172s [126] validation_0-logloss:0.00423 172s [127] validation_0-logloss:0.00422 172s [0] validation_0-logloss:0.00421 172s [1] validation_0-logloss:0.00420 172s [2] validation_0-logloss:0.00419 172s [3] validation_0-logloss:0.00417 172s [4] validation_0-logloss:0.00416 172s [5] validation_0-logloss:0.00415 172s [6] validation_0-logloss:0.00414 172s [7] validation_0-logloss:0.00413 172s [8] validation_0-logloss:0.00412 172s [9] validation_0-logloss:0.00411 172s [10] validation_0-logloss:0.00410 172s [11] validation_0-logloss:0.00409 172s [12] validation_0-logloss:0.00408 172s [13] validation_0-logloss:0.00407 172s [14] validation_0-logloss:0.00406 172s [15] validation_0-logloss:0.00405 172s [16] validation_0-logloss:0.00404 172s [17] validation_0-logloss:0.00403 172s [18] validation_0-logloss:0.00402 172s [19] validation_0-logloss:0.00401 172s [20] validation_0-logloss:0.00400 172s [21] validation_0-logloss:0.00399 172s [22] validation_0-logloss:0.00398 172s [23] validation_0-logloss:0.00397 172s [24] validation_0-logloss:0.00396 172s [25] validation_0-logloss:0.00396 172s [26] validation_0-logloss:0.00395 172s [27] validation_0-logloss:0.00394 172s [28] validation_0-logloss:0.00393 172s [29] validation_0-logloss:0.00392 172s [30] validation_0-logloss:0.00391 172s [31] validation_0-logloss:0.00391 172s [32] validation_0-logloss:0.00390 172s [33] validation_0-logloss:0.00389 172s [34] validation_0-logloss:0.00388 172s [35] validation_0-logloss:0.00388 172s [36] validation_0-logloss:0.00387 172s [37] validation_0-logloss:0.00386 172s [38] validation_0-logloss:0.00385 172s [39] validation_0-logloss:0.00385 172s [40] validation_0-logloss:0.00384 172s [41] validation_0-logloss:0.00383 172s [42] validation_0-logloss:0.00383 172s [43] validation_0-logloss:0.00382 172s [44] validation_0-logloss:0.00381 172s [45] validation_0-logloss:0.00381 172s [46] validation_0-logloss:0.00380 172s [47] validation_0-logloss:0.00380 172s [48] validation_0-logloss:0.00379 172s [49] validation_0-logloss:0.00379 172s [50] validation_0-logloss:0.00378 172s [51] validation_0-logloss:0.00378 172s [52] validation_0-logloss:0.00377 172s [53] validation_0-logloss:0.00377 172s [54] validation_0-logloss:0.00376 172s [55] validation_0-logloss:0.00376 172s [56] validation_0-logloss:0.00375 172s [57] validation_0-logloss:0.00375 172s [58] validation_0-logloss:0.00374 172s [59] validation_0-logloss:0.00374 172s [60] validation_0-logloss:0.00373 172s [61] validation_0-logloss:0.00373 172s [62] validation_0-logloss:0.00373 172s [63] validation_0-logloss:0.00372 172s [64] validation_0-logloss:0.00372 172s [65] validation_0-logloss:0.00372 172s [66] validation_0-logloss:0.00371 172s [67] validation_0-logloss:0.00371 172s [68] validation_0-logloss:0.00371 172s [69] validation_0-logloss:0.00371 172s [70] validation_0-logloss:0.00371 172s Total boosted rounds: 195 172s [0] validation_0-logloss:0.43281 172s [1] validation_0-logloss:0.30816 172s [2] validation_0-logloss:0.22816 172s [3] validation_0-logloss:0.17470 172s [4] validation_0-logloss:0.13438 172s [5] validation_0-logloss:0.10538 172s [6] validation_0-logloss:0.08467 172s [7] validation_0-logloss:0.06909 172s [8] validation_0-logloss:0.05766 172s [9] validation_0-logloss:0.04842 172s [10] validation_0-logloss:0.04121 172s [11] validation_0-logloss:0.03545 172s [12] validation_0-logloss:0.03077 172s [13] validation_0-logloss:0.02742 172s [14] validation_0-logloss:0.02444 172s [15] validation_0-logloss:0.02208 172s [16] validation_0-logloss:0.01993 172s [17] validation_0-logloss:0.01819 172s [18] validation_0-logloss:0.01676 172s [19] validation_0-logloss:0.01575 172s [20] validation_0-logloss:0.01461 172s [21] validation_0-logloss:0.01383 172s [22] validation_0-logloss:0.01304 172s [23] validation_0-logloss:0.01243 172s [24] validation_0-logloss:0.01179 172s [25] validation_0-logloss:0.01142 172s [26] validation_0-logloss:0.01103 172s [27] validation_0-logloss:0.01066 172s [28] validation_0-logloss:0.01037 172s [29] validation_0-logloss:0.00993 172s [30] validation_0-logloss:0.00966 172s [31] validation_0-logloss:0.00920 172s [32] validation_0-logloss:0.00900 172s [33] validation_0-logloss:0.00876 172s [34] validation_0-logloss:0.00852 172s [35] validation_0-logloss:0.00835 172s [36] validation_0-logloss:0.00810 172s [37] validation_0-logloss:0.00791 172s [38] validation_0-logloss:0.00764 172s [39] validation_0-logloss:0.00753 172s [40] validation_0-logloss:0.00739 172s [41] validation_0-logloss:0.00723 172s [42] validation_0-logloss:0.00706 172s [43] validation_0-logloss:0.00695 172s [44] validation_0-logloss:0.00688 172s [45] validation_0-logloss:0.00671 172s [46] validation_0-logloss:0.00662 172s [47] validation_0-logloss:0.00650 172s [48] validation_0-logloss:0.00637 172s [49] validation_0-logloss:0.00628 172s [50] validation_0-logloss:0.00623 172s [51] validation_0-logloss:0.00618 172s [52] validation_0-logloss:0.00614 172s [53] validation_0-logloss:0.00609 172s [54] validation_0-logloss:0.00600 172s [55] validation_0-logloss:0.00590 172s [56] validation_0-logloss:0.00582 172s [57] validation_0-logloss:0.00578 172s [58] validation_0-logloss:0.00570 172s [59] validation_0-logloss:0.00566 172s [60] validation_0-logloss:0.00563 172s [61] validation_0-logloss:0.00559 172s [62] validation_0-logloss:0.00556 172s [63] validation_0-logloss:0.00553 172s [64] validation_0-logloss:0.00549 172s [65] validation_0-logloss:0.00546 172s [66] validation_0-logloss:0.00543 172s [67] validation_0-logloss:0.00540 172s [68] validation_0-logloss:0.00537 172s [69] validation_0-logloss:0.00534 172s [70] validation_0-logloss:0.00531 172s [71] validation_0-logloss:0.00528 172s [72] validation_0-logloss:0.00525 172s [73] validation_0-logloss:0.00523 172s [74] validation_0-logloss:0.00520 172s [75] validation_0-logloss:0.00517 172s [76] validation_0-logloss:0.00515 172s [77] validation_0-logloss:0.00512 172s [78] validation_0-logloss:0.00510 172s [79] validation_0-logloss:0.00507 172s [80] validation_0-logloss:0.00505 172s [81] validation_0-logloss:0.00502 172s [82] validation_0-logloss:0.00500 172s [83] validation_0-logloss:0.00498 172s [84] validation_0-logloss:0.00496 172s [85] validation_0-logloss:0.00493 172s [86] validation_0-logloss:0.00491 172s [87] validation_0-logloss:0.00489 172s [88] validation_0-logloss:0.00486 172s [89] validation_0-logloss:0.00484 172s [90] validation_0-logloss:0.00482 172s [91] validation_0-logloss:0.00480 172s [92] validation_0-logloss:0.00478 172s [93] validation_0-logloss:0.00476 172s [94] validation_0-logloss:0.00474 172s [95] validation_0-logloss:0.00472 172s [96] validation_0-logloss:0.00470 172s [97] validation_0-logloss:0.00468 172s [98] validation_0-logloss:0.00466 172s [99] validation_0-logloss:0.00464 172s [100] validation_0-logloss:0.00463 172s [101] validation_0-logloss:0.00461 172s [102] validation_0-logloss:0.00459 172s [103] validation_0-logloss:0.00457 172s [104] validation_0-logloss:0.00456 172s [105] validation_0-logloss:0.00454 172s [106] validation_0-logloss:0.00452 172s [107] validation_0-logloss:0.00451 172s [108] validation_0-logloss:0.00449 172s [109] validation_0-logloss:0.00448 172s [110] validation_0-logloss:0.00446 172s [111] validation_0-logloss:0.00444 172s [112] validation_0-logloss:0.00443 172s [113] validation_0-logloss:0.00441 172s [114] validation_0-logloss:0.00440 172s [115] validation_0-logloss:0.00438 172s [116] validation_0-logloss:0.00437 172s [117] validation_0-logloss:0.00435 172s [118] validation_0-logloss:0.00434 172s [119] validation_0-logloss:0.00433 172s [120] validation_0-logloss:0.00431 172s [121] validation_0-logloss:0.00430 172s [122] validation_0-logloss:0.00429 172s [123] validation_0-logloss:0.00427 172s [124] validation_0-logloss:0.00426 172s [125] validation_0-logloss:0.00425 172s [126] validation_0-logloss:0.00423 172s [127] validation_0-logloss:0.00422 172s [128] validation_0-logloss:0.00421 172s [129] validation_0-logloss:0.00420 172s [130] validation_0-logloss:0.00419 172s [131] validation_0-logloss:0.00417 172s [132] validation_0-logloss:0.00416 172s [133] validation_0-logloss:0.00415 172s [134] validation_0-logloss:0.00414 172s [135] validation_0-logloss:0.00413 172s [136] validation_0-logloss:0.00412 172s [137] validation_0-logloss:0.00411 172s [138] validation_0-logloss:0.00410 172s [139] validation_0-logloss:0.00409 172s [140] validation_0-logloss:0.00408 172s [141] validation_0-logloss:0.00407 172s [142] validation_0-logloss:0.00406 172s [143] validation_0-logloss:0.00405 172s [144] validation_0-logloss:0.00404 172s [145] validation_0-logloss:0.00403 172s [146] validation_0-logloss:0.00402 172s [147] validation_0-logloss:0.00401 172s [148] validation_0-logloss:0.00400 172s [149] validation_0-logloss:0.00399 172s [150] validation_0-logloss:0.00398 172s [151] validation_0-logloss:0.00397 172s [152] validation_0-logloss:0.00396 172s [153] validation_0-logloss:0.00396 172s [154] validation_0-logloss:0.00395 172s [155] validation_0-logloss:0.00394 172s [156] validation_0-logloss:0.00393 172s [157] validation_0-logloss:0.00392 172s [158] validation_0-logloss:0.00391 172s [159] validation_0-logloss:0.00391 172s [160] validation_0-logloss:0.00390 172s [161] validation_0-logloss:0.00389 172s [162] validation_0-logloss:0.00388 172s [163] validation_0-logloss:0.00388 172s [164] validation_0-logloss:0.00387 172s [165] validation_0-logloss:0.00386 172s [166] validation_0-logloss:0.00385 172s [167] validation_0-logloss:0.00385 172s [168] validation_0-logloss:0.00384 172s [169] validation_0-logloss:0.00383 172s [170] validation_0-logloss:0.00383 172s [171] validation_0-logloss:0.00382 172s [172] validation_0-logloss:0.00381 172s [173] validation_0-logloss:0.00381 172s [174] validation_0-logloss:0.00380 172s [175] validation_0-logloss:0.00380 172s [176] validation_0-logloss:0.00379 172s [177] validation_0-logloss:0.00379 172s [178] validation_0-logloss:0.00378 172s [179] validation_0-logloss:0.00378 172s [180] validation_0-logloss:0.00377 172s [181] validation_0-logloss:0.00377 172s [182] validation_0-logloss:0.00376 172s [183] validation_0-logloss:0.00376 172s [184] validation_0-logloss:0.00375 172s [185] validation_0-logloss:0.00375 172s [186] validation_0-logloss:0.00374 172s [187] validation_0-logloss:0.00374 172s [188] validation_0-logloss:0.00373 172s [189] validation_0-logloss:0.00373 172s [190] validation_0-logloss:0.00373 172s [191] validation_0-logloss:0.00372 172s [192] validation_0-logloss:0.00372 172s [193] validation_0-logloss:0.00372 172s [194] validation_0-logloss:0.00371 172s [195] validation_0-logloss:0.00371 172s [196] validation_0-logloss:0.00371 172s [197] validation_0-logloss:0.00371 172s [198] validation_0-logloss:0.00371 172s [199] validation_0-logloss:0.00371 172s Total boosted rounds: 195 172s [0] validation_0-logloss:0.43281 172s [1] validation_0-logloss:0.30816 172s [2] validation_0-logloss:0.22816 172s [3] validation_0-logloss:0.17470 172s [4] validation_0-logloss:0.13438 172s [5] validation_0-logloss:0.10538 172s [6] validation_0-logloss:0.08467 172s [7] validation_0-logloss:0.06909 172s [8] validation_0-logloss:0.05766 172s [9] validation_0-logloss:0.04842 172s [10] validation_0-logloss:0.04121 172s [11] validation_0-logloss:0.03545 172s [12] validation_0-logloss:0.03077 172s [13] validation_0-logloss:0.02742 172s [14] validation_0-logloss:0.02444 172s [15] validation_0-logloss:0.02208 172s [16] validation_0-logloss:0.01993 172s [17] validation_0-logloss:0.01819 172s [18] validation_0-logloss:0.01676 172s [19] validation_0-logloss:0.01575 172s [20] validation_0-logloss:0.01461 172s [21] validation_0-logloss:0.01383 172s [22] validation_0-logloss:0.01304 172s [23] validation_0-logloss:0.01243 172s [24] validation_0-logloss:0.01179 172s [25] validation_0-logloss:0.01142 172s [26] validation_0-logloss:0.01103 172s [27] validation_0-logloss:0.01066 172s [28] validation_0-logloss:0.01037 172s [29] validation_0-logloss:0.00993 172s [30] validation_0-logloss:0.00966 172s [31] validation_0-logloss:0.00920 172s [32] validation_0-logloss:0.00900 172s [33] validation_0-logloss:0.00876 172s [34] validation_0-logloss:0.00852 172s [35] validation_0-logloss:0.00835 172s [36] validation_0-logloss:0.00810 172s [37] validation_0-logloss:0.00791 172s [38] validation_0-logloss:0.00764 172s [39] validation_0-logloss:0.00753 172s [40] validation_0-logloss:0.00739 172s [41] validation_0-logloss:0.00723 172s [42] validation_0-logloss:0.00706 172s [43] validation_0-logloss:0.00695 172s [44] validation_0-logloss:0.00688 172s [45] validation_0-logloss:0.00671 172s [46] validation_0-logloss:0.00662 172s [47] validation_0-logloss:0.00650 172s [48] validation_0-logloss:0.00637 172s [49] validation_0-logloss:0.00628 172s [50] validation_0-logloss:0.00623 172s [51] validation_0-logloss:0.00618 172s [52] validation_0-logloss:0.00614 172s [53] validation_0-logloss:0.00609 172s [54] validation_0-logloss:0.00600 172s [55] validation_0-logloss:0.00590 172s [56] validation_0-logloss:0.00582 172s [57] validation_0-logloss:0.00578 172s [58] validation_0-logloss:0.00570 172s [59] validation_0-logloss:0.00566 172s [60] validation_0-logloss:0.00563 172s [61] validation_0-logloss:0.00559 172s [62] validation_0-logloss:0.00556 172s [63] validation_0-logloss:0.00553 172s [64] validation_0-logloss:0.00549 172s [65] validation_0-logloss:0.00546 172s [66] validation_0-logloss:0.00543 172s [67] validation_0-logloss:0.00540 172s [68] validation_0-logloss:0.00537 172s [69] validation_0-logloss:0.00534 172s [70] validation_0-logloss:0.00531 172s [71] validation_0-logloss:0.00528 172s [72] validation_0-logloss:0.00525 172s [73] validation_0-logloss:0.00523 172s [74] validation_0-logloss:0.00520 172s [75] validation_0-logloss:0.00517 172s [76] validation_0-logloss:0.00515 172s [77] validation_0-logloss:0.00512 172s [78] validation_0-logloss:0.00510 172s [79] validation_0-logloss:0.00507 172s [80] validation_0-logloss:0.00505 172s [81] validation_0-logloss:0.00502 172s [82] validation_0-logloss:0.00500 172s [83] validation_0-logloss:0.00498 172s [84] validation_0-logloss:0.00496 172s [85] validation_0-logloss:0.00493 172s [86] validation_0-logloss:0.00491 172s [87] validation_0-logloss:0.00489 172s [88] validation_0-logloss:0.00486 172s [89] validation_0-logloss:0.00484 172s [90] validation_0-logloss:0.00482 172s [91] validation_0-logloss:0.00480 172s [92] validation_0-logloss:0.00478 172s [93] validation_0-logloss:0.00476 172s [94] validation_0-logloss:0.00474 172s [95] validation_0-logloss:0.00472 172s [96] validation_0-logloss:0.00470 172s [97] validation_0-logloss:0.00468 172s [98] validation_0-logloss:0.00466 172s [99] validation_0-logloss:0.00464 172s [100] validation_0-logloss:0.00463 172s [101] validation_0-logloss:0.00461 172s [102] validation_0-logloss:0.00459 172s [103] validation_0-logloss:0.00457 172s [104] validation_0-logloss:0.00456 172s [105] validation_0-logloss:0.00454 172s [106] validation_0-logloss:0.00452 172s [107] validation_0-logloss:0.00451 172s [108] validation_0-logloss:0.00449 172s [109] validation_0-logloss:0.00448 172s [110] validation_0-logloss:0.00446 172s [111] validation_0-logloss:0.00444 172s [112] validation_0-logloss:0.00443 172s [113] validation_0-logloss:0.00441 172s [114] validation_0-logloss:0.00440 172s [115] validation_0-logloss:0.00438 172s [116] validation_0-logloss:0.00437 172s [117] validation_0-logloss:0.00435 172s [118] validation_0-logloss:0.00434 172s [119] validation_0-logloss:0.00433 172s [120] validation_0-logloss:0.00431 172s [121] validation_0-logloss:0.00430 172s [122] validation_0-logloss:0.00429 172s [123] validation_0-logloss:0.00427 172s [124] validation_0-logloss:0.00426 172s [125] validation_0-logloss:0.00425 172s [126] validation_0-logloss:0.00423 172s [127] validation_0-logloss:0.00422 172s [0] validation_0-logloss:0.00421 172s [1] validation_0-logloss:0.00420 172s [2] validation_0-logloss:0.00419 172s [3] validation_0-logloss:0.00417 172s [4] validation_0-logloss:0.00416 172s [5] validation_0-logloss:0.00415 172s [6] validation_0-logloss:0.00414 172s [7] validation_0-logloss:0.00413 172s [8] validation_0-logloss:0.00412 172s [9] validation_0-logloss:0.00411 172s [10] validation_0-logloss:0.00410 172s [11] validation_0-logloss:0.00409 172s [12] validation_0-logloss:0.00408 172s [13] validation_0-logloss:0.00407 172s [14] validation_0-logloss:0.00406 172s [15] validation_0-logloss:0.00405 172s [16] validation_0-logloss:0.00404 172s [17] validation_0-logloss:0.00403 172s [18] validation_0-logloss:0.00402 172s [19] validation_0-logloss:0.00401 172s [20] validation_0-logloss:0.00400 172s [21] validation_0-logloss:0.00399 172s [22] validation_0-logloss:0.00398 172s [23] validation_0-logloss:0.00397 172s [24] validation_0-logloss:0.00396 172s [25] validation_0-logloss:0.00396 172s [26] validation_0-logloss:0.00395 172s [27] validation_0-logloss:0.00394 172s [28] validation_0-logloss:0.00393 172s [29] validation_0-logloss:0.00392 172s [30] validation_0-logloss:0.00391 172s [31] validation_0-logloss:0.00391 172s [32] validation_0-logloss:0.00390 172s [33] validation_0-logloss:0.00389 172s [34] validation_0-logloss:0.00388 172s [35] validation_0-logloss:0.00388 172s [36] validation_0-logloss:0.00387 172s [37] validation_0-logloss:0.00386 172s [38] validation_0-logloss:0.00385 172s [39] validation_0-logloss:0.00385 172s [40] validation_0-logloss:0.00384 172s [41] validation_0-logloss:0.00383 172s [42] validation_0-logloss:0.00383 172s [43] validation_0-logloss:0.00382 172s [44] validation_0-logloss:0.00381 172s [45] validation_0-logloss:0.00381 172s [46] validation_0-logloss:0.00380 172s [47] validation_0-logloss:0.00380 172s [48] validation_0-logloss:0.00379 172s [49] validation_0-logloss:0.00379 172s [50] validation_0-logloss:0.00378 172s [51] validation_0-logloss:0.00378 172s [52] validation_0-logloss:0.00377 172s [53] validation_0-logloss:0.00377 172s [54] validation_0-logloss:0.00376 172s [55] validation_0-logloss:0.00376 172s [56] validation_0-logloss:0.00375 172s [57] validation_0-logloss:0.00375 172s [58] validation_0-logloss:0.00374 172s [59] validation_0-logloss:0.00374 172s [60] validation_0-logloss:0.00373 172s [61] validation_0-logloss:0.00373 172s [62] validation_0-logloss:0.00373 172s [63] validation_0-logloss:0.00372 172s [64] validation_0-logloss:0.00372 172s [65] validation_0-logloss:0.00372 172s [66] validation_0-logloss:0.00371 172s [67] validation_0-logloss:0.00371 172s [68] validation_0-logloss:0.00371 172s [69] validation_0-logloss:0.00371 172s [70] validation_0-logloss:0.00371 172s [71] validation_0-logloss:0.00371 172s Total boosted rounds: 195 172s [0] validation_0-logloss:0.43281 172s [1] validation_0-logloss:0.30816 172s [2] validation_0-logloss:0.22816 172s [3] validation_0-logloss:0.17470 172s [4] validation_0-logloss:0.13438 172s [5] validation_0-logloss:0.10538 172s [6] validation_0-logloss:0.08467 172s [7] validation_0-logloss:0.06909 172s [8] validation_0-logloss:0.05766 172s [9] validation_0-logloss:0.04842 172s [10] validation_0-logloss:0.04121 172s [11] validation_0-logloss:0.03545 172s [12] validation_0-logloss:0.03077 172s [13] validation_0-logloss:0.02742 172s [14] validation_0-logloss:0.02444 172s [15] validation_0-logloss:0.02208 172s [16] validation_0-logloss:0.01993 172s [17] validation_0-logloss:0.01819 172s [18] validation_0-logloss:0.01676 172s [19] validation_0-logloss:0.01575 172s [20] validation_0-logloss:0.01461 172s [21] validation_0-logloss:0.01383 172s [22] validation_0-logloss:0.01304 172s [23] validation_0-logloss:0.01243 172s [24] validation_0-logloss:0.01179 172s [25] validation_0-logloss:0.01142 172s [26] validation_0-logloss:0.01103 172s [27] validation_0-logloss:0.01066 172s [28] validation_0-logloss:0.01037 172s [29] validation_0-logloss:0.00993 172s [30] validation_0-logloss:0.00966 172s [31] validation_0-logloss:0.00920 172s [32] validation_0-logloss:0.00900 172s [33] validation_0-logloss:0.00876 172s [34] validation_0-logloss:0.00852 172s [35] validation_0-logloss:0.00835 172s [36] validation_0-logloss:0.00810 172s [37] validation_0-logloss:0.00791 172s [38] validation_0-logloss:0.00764 172s [39] validation_0-logloss:0.00753 172s [40] validation_0-logloss:0.00739 172s [41] validation_0-logloss:0.00723 172s [42] validation_0-logloss:0.00706 172s [43] validation_0-logloss:0.00695 172s [44] validation_0-logloss:0.00688 172s [45] validation_0-logloss:0.00671 172s [46] validation_0-logloss:0.00662 172s [47] validation_0-logloss:0.00650 172s [48] validation_0-logloss:0.00637 172s [49] validation_0-logloss:0.00628 172s [50] validation_0-logloss:0.00623 172s [51] validation_0-logloss:0.00618 172s [52] validation_0-logloss:0.00614 172s [53] validation_0-logloss:0.00609 172s [54] validation_0-logloss:0.00600 172s [55] validation_0-logloss:0.00590 172s [56] validation_0-logloss:0.00582 172s [57] validation_0-logloss:0.00578 172s [58] validation_0-logloss:0.00570 172s [59] validation_0-logloss:0.00566 172s [60] validation_0-logloss:0.00563 172s [61] validation_0-logloss:0.00559 172s [62] validation_0-logloss:0.00556 172s [63] validation_0-logloss:0.00553 172s [64] validation_0-logloss:0.00549 172s [65] validation_0-logloss:0.00546 172s [66] validation_0-logloss:0.00543 172s [67] validation_0-logloss:0.00540 172s [68] validation_0-logloss:0.00537 172s [69] validation_0-logloss:0.00534 172s [70] validation_0-logloss:0.00531 172s [71] validation_0-logloss:0.00528 172s [72] validation_0-logloss:0.00525 172s [73] validation_0-logloss:0.00523 172s [74] validation_0-logloss:0.00520 172s [75] validation_0-logloss:0.00517 172s [76] validation_0-logloss:0.00515 172s [77] validation_0-logloss:0.00512 172s [78] validation_0-logloss:0.00510 172s [79] validation_0-logloss:0.00507 172s [80] validation_0-logloss:0.00505 172s [81] validation_0-logloss:0.00502 172s [82] validation_0-logloss:0.00500 172s [83] validation_0-logloss:0.00498 172s [84] validation_0-logloss:0.00496 172s [85] validation_0-logloss:0.00493 172s [86] validation_0-logloss:0.00491 172s [87] validation_0-logloss:0.00489 172s [88] validation_0-logloss:0.00486 172s [89] validation_0-logloss:0.00484 172s [90] validation_0-logloss:0.00482 172s [91] validation_0-logloss:0.00480 172s [92] validation_0-logloss:0.00478 172s [93] validation_0-logloss:0.00476 172s [94] validation_0-logloss:0.00474 172s [95] validation_0-logloss:0.00472 172s [96] validation_0-logloss:0.00470 172s [97] validation_0-logloss:0.00468 172s [98] validation_0-logloss:0.00466 172s [99] validation_0-logloss:0.00464 172s [100] validation_0-logloss:0.00463 172s [101] validation_0-logloss:0.00461 172s [102] validation_0-logloss:0.00459 172s [103] validation_0-logloss:0.00457 172s [104] validation_0-logloss:0.00456 172s [105] validation_0-logloss:0.00454 172s [106] validation_0-logloss:0.00452 172s [107] validation_0-logloss:0.00451 172s [108] validation_0-logloss:0.00449 172s [109] validation_0-logloss:0.00448 172s [110] validation_0-logloss:0.00446 172s [111] validation_0-logloss:0.00444 172s [112] validation_0-logloss:0.00443 172s [113] validation_0-logloss:0.00441 172s [114] validation_0-logloss:0.00440 172s [115] validation_0-logloss:0.00438 172s [116] validation_0-logloss:0.00437 172s [117] validation_0-logloss:0.00435 172s [118] validation_0-logloss:0.00434 172s [119] validation_0-logloss:0.00433 172s [120] validation_0-logloss:0.00431 172s [121] validation_0-logloss:0.00430 172s [122] validation_0-logloss:0.00429 172s [123] validation_0-logloss:0.00427 172s [124] validation_0-logloss:0.00426 172s [125] validation_0-logloss:0.00425 172s [126] validation_0-logloss:0.00423 172s [127] validation_0-logloss:0.00422 172s Total boosted rounds: 128 172s [0] validation_0-logloss:0.43281 172s [1] validation_0-logloss:0.30816 172s [2] validation_0-logloss:0.22816 172s [3] validation_0-logloss:0.17470 172s [4] validation_0-logloss:0.13438 172s [5] validation_0-logloss:0.10538 172s [6] validation_0-logloss:0.08467 172s [7] validation_0-logloss:0.06909 172s [8] validation_0-logloss:0.05766 172s [9] validation_0-logloss:0.04842 172s [10] validation_0-logloss:0.04121 172s [11] validation_0-logloss:0.03545 172s [12] validation_0-logloss:0.03077 172s [13] validation_0-logloss:0.02742 172s [14] validation_0-logloss:0.02444 172s [15] validation_0-logloss:0.02208 172s [16] validation_0-logloss:0.01993 172s [17] validation_0-logloss:0.01819 172s [18] validation_0-logloss:0.01676 172s [19] validation_0-logloss:0.01575 172s [20] validation_0-logloss:0.01461 172s [21] validation_0-logloss:0.01383 172s [22] validation_0-logloss:0.01304 172s [23] validation_0-logloss:0.01243 172s [24] validation_0-logloss:0.01179 172s [25] validation_0-logloss:0.01142 172s [26] validation_0-logloss:0.01103 172s [27] validation_0-logloss:0.01066 172s [28] validation_0-logloss:0.01037 172s [29] validation_0-logloss:0.00993 172s [30] validation_0-logloss:0.00966 172s [31] validation_0-logloss:0.00920 172s [0] validation_0-logloss:0.00900 172s [1] validation_0-logloss:0.00876 172s [2] validation_0-logloss:0.00852 172s [3] validation_0-logloss:0.00835 172s [4] validation_0-logloss:0.00810 172s [5] validation_0-logloss:0.00791 172s [6] validation_0-logloss:0.00764 172s [7] validation_0-logloss:0.00753 172s [8] validation_0-logloss:0.00739 172s [9] validation_0-logloss:0.00723 172s [10] validation_0-logloss:0.00706 172s [11] validation_0-logloss:0.00695 172s [12] validation_0-logloss:0.00688 172s [13] validation_0-logloss:0.00671 172s [14] validation_0-logloss:0.00662 172s [15] validation_0-logloss:0.00650 172s [16] validation_0-logloss:0.00637 172s [17] validation_0-logloss:0.00628 172s [18] validation_0-logloss:0.00623 172s [19] validation_0-logloss:0.00618 172s [20] validation_0-logloss:0.00614 172s [21] validation_0-logloss:0.00609 172s [22] validation_0-logloss:0.00600 172s [23] validation_0-logloss:0.00590 172s [24] validation_0-logloss:0.00582 172s [25] validation_0-logloss:0.00578 172s [26] validation_0-logloss:0.00570 172s [27] validation_0-logloss:0.00566 172s [28] validation_0-logloss:0.00563 172s [29] validation_0-logloss:0.00559 172s [30] validation_0-logloss:0.00556 172s [31] validation_0-logloss:0.00553 172s [32] validation_0-logloss:0.00549 172s [33] validation_0-logloss:0.00546 172s [34] validation_0-logloss:0.00543 172s [35] validation_0-logloss:0.00540 172s [36] validation_0-logloss:0.00537 172s [37] validation_0-logloss:0.00534 172s [38] validation_0-logloss:0.00531 172s [39] validation_0-logloss:0.00528 172s [40] validation_0-logloss:0.00525 172s [41] validation_0-logloss:0.00523 172s [42] validation_0-logloss:0.00520 172s [43] validation_0-logloss:0.00517 172s [44] validation_0-logloss:0.00515 172s [45] validation_0-logloss:0.00512 172s [46] validation_0-logloss:0.00510 172s [47] validation_0-logloss:0.00507 172s [48] validation_0-logloss:0.00505 172s [49] validation_0-logloss:0.00502 172s [50] validation_0-logloss:0.00500 172s [51] validation_0-logloss:0.00498 172s [52] validation_0-logloss:0.00496 172s [53] validation_0-logloss:0.00493 172s [54] validation_0-logloss:0.00491 172s [55] validation_0-logloss:0.00489 172s [56] validation_0-logloss:0.00486 172s [57] validation_0-logloss:0.00484 172s [58] validation_0-logloss:0.00482 172s [59] validation_0-logloss:0.00480 172s [60] validation_0-logloss:0.00478 172s [61] validation_0-logloss:0.00476 172s [62] validation_0-logloss:0.00474 172s [63] validation_0-logloss:0.00472 172s [64] validation_0-logloss:0.00470 172s [65] validation_0-logloss:0.00468 172s [66] validation_0-logloss:0.00466 172s [67] validation_0-logloss:0.00464 172s [68] validation_0-logloss:0.00463 172s [69] validation_0-logloss:0.00461 172s [70] validation_0-logloss:0.00459 172s [71] validation_0-logloss:0.00457 172s [72] validation_0-logloss:0.00456 172s [73] validation_0-logloss:0.00454 172s [74] validation_0-logloss:0.00452 172s [75] validation_0-logloss:0.00451 172s [76] validation_0-logloss:0.00449 172s [77] validation_0-logloss:0.00448 172s [78] validation_0-logloss:0.00446 172s [79] validation_0-logloss:0.00444 172s [80] validation_0-logloss:0.00443 172s [81] validation_0-logloss:0.00441 172s [82] validation_0-logloss:0.00440 172s [83] validation_0-logloss:0.00438 172s [84] validation_0-logloss:0.00437 172s [85] validation_0-logloss:0.00435 172s [86] validation_0-logloss:0.00434 172s [87] validation_0-logloss:0.00433 172s [88] validation_0-logloss:0.00431 172s [89] validation_0-logloss:0.00430 172s [90] validation_0-logloss:0.00429 172s [91] validation_0-logloss:0.00427 172s [92] validation_0-logloss:0.00426 172s [93] validation_0-logloss:0.00425 172s [94] validation_0-logloss:0.00423 172s [95] validation_0-logloss:0.00422 172s Total boosted rounds: 128 172s [0] validation_0-logloss:0.43281 172s [1] validation_0-logloss:0.30816 172s [2] validation_0-logloss:0.22816 172s [3] validation_0-logloss:0.17470 172s [4] validation_0-logloss:0.13438 172s [5] validation_0-logloss:0.10538 172s [6] validation_0-logloss:0.08467 172s [7] validation_0-logloss:0.06909 172s [8] validation_0-logloss:0.05766 172s [9] validation_0-logloss:0.04842 172s [10] validation_0-logloss:0.04121 172s [11] validation_0-logloss:0.03545 172s [12] validation_0-logloss:0.03077 172s [13] validation_0-logloss:0.02742 172s [14] validation_0-logloss:0.02444 172s [15] validation_0-logloss:0.02208 172s [16] validation_0-logloss:0.01993 172s [17] validation_0-logloss:0.01819 172s [18] validation_0-logloss:0.01676 172s [19] validation_0-logloss:0.01575 172s [20] validation_0-logloss:0.01461 172s [21] validation_0-logloss:0.01383 172s [22] validation_0-logloss:0.01304 172s [23] validation_0-logloss:0.01243 172s [24] validation_0-logloss:0.01179 172s [25] validation_0-logloss:0.01142 172s [26] validation_0-logloss:0.01103 172s [27] validation_0-logloss:0.01066 172s [28] validation_0-logloss:0.01037 172s [29] validation_0-logloss:0.00993 172s [30] validation_0-logloss:0.00966 172s [31] validation_0-logloss:0.00920 172s [32] validation_0-logloss:0.00900 172s [33] validation_0-logloss:0.00876 172s [34] validation_0-logloss:0.00852 172s [35] validation_0-logloss:0.00835 172s [36] validation_0-logloss:0.00810 172s [37] validation_0-logloss:0.00791 172s [38] validation_0-logloss:0.00764 172s [39] validation_0-logloss:0.00753 172s [40] validation_0-logloss:0.00739 172s [41] validation_0-logloss:0.00723 172s [42] validation_0-logloss:0.00706 172s [43] validation_0-logloss:0.00695 172s [44] validation_0-logloss:0.00688 172s [45] validation_0-logloss:0.00671 172s [46] validation_0-logloss:0.00662 172s [47] validation_0-logloss:0.00650 172s [48] validation_0-logloss:0.00637 172s [49] validation_0-logloss:0.00628 172s [50] validation_0-logloss:0.00623 172s [51] validation_0-logloss:0.00618 172s [52] validation_0-logloss:0.00614 172s [53] validation_0-logloss:0.00609 172s [54] validation_0-logloss:0.00600 172s [55] validation_0-logloss:0.00590 172s [56] validation_0-logloss:0.00582 172s [57] validation_0-logloss:0.00578 172s [58] validation_0-logloss:0.00570 172s [59] validation_0-logloss:0.00566 172s [60] validation_0-logloss:0.00563 172s [61] validation_0-logloss:0.00559 172s [62] validation_0-logloss:0.00556 172s [63] validation_0-logloss:0.00553 172s [64] validation_0-logloss:0.00549 172s [65] validation_0-logloss:0.00546 172s [66] validation_0-logloss:0.00543 172s [67] validation_0-logloss:0.00540 172s [68] validation_0-logloss:0.00537 172s [69] validation_0-logloss:0.00534 172s [70] validation_0-logloss:0.00531 172s [71] validation_0-logloss:0.00528 172s [72] validation_0-logloss:0.00525 172s [73] validation_0-logloss:0.00523 172s [74] validation_0-logloss:0.00520 172s [75] validation_0-logloss:0.00517 172s [76] validation_0-logloss:0.00515 172s [77] validation_0-logloss:0.00512 172s [78] validation_0-logloss:0.00510 172s [79] validation_0-logloss:0.00507 172s [80] validation_0-logloss:0.00505 172s [81] validation_0-logloss:0.00502 172s [82] validation_0-logloss:0.00500 172s [83] validation_0-logloss:0.00498 172s [84] validation_0-logloss:0.00496 172s [85] validation_0-logloss:0.00493 172s [86] validation_0-logloss:0.00491 172s [87] validation_0-logloss:0.00489 172s [88] validation_0-logloss:0.00486 172s [89] validation_0-logloss:0.00484 172s [90] validation_0-logloss:0.00482 172s [91] validation_0-logloss:0.00480 172s [92] validation_0-logloss:0.00478 172s [93] validation_0-logloss:0.00476 172s [94] validation_0-logloss:0.00474 172s [95] validation_0-logloss:0.00472 172s [96] validation_0-logloss:0.00470 172s [97] validation_0-logloss:0.00468 172s [98] validation_0-logloss:0.00466 172s [99] validation_0-logloss:0.00464 172s [100] validation_0-logloss:0.00463 172s [101] validation_0-logloss:0.00461 172s [102] validation_0-logloss:0.00459 172s [103] validation_0-logloss:0.00457 172s [104] validation_0-logloss:0.00456 172s [105] validation_0-logloss:0.00454 172s [106] validation_0-logloss:0.00452 172s [107] validation_0-logloss:0.00451 172s [108] validation_0-logloss:0.00449 172s [109] validation_0-logloss:0.00448 172s [110] validation_0-logloss:0.00446 172s [111] validation_0-logloss:0.00444 172s [112] validation_0-logloss:0.00443 172s [113] validation_0-logloss:0.00441 172s [114] validation_0-logloss:0.00440 172s [115] validation_0-logloss:0.00438 172s [116] validation_0-logloss:0.00437 172s [117] validation_0-logloss:0.00435 172s [118] validation_0-logloss:0.00434 172s [119] validation_0-logloss:0.00433 172s [120] validation_0-logloss:0.00431 172s [121] validation_0-logloss:0.00430 172s [122] validation_0-logloss:0.00429 172s [123] validation_0-logloss:0.00427 172s [124] validation_0-logloss:0.00426 172s [125] validation_0-logloss:0.00425 172s [126] validation_0-logloss:0.00423 172s [127] validation_0-logloss:0.00422 172s Total boosted rounds: 128 172s [0] validation_0-logloss:0.43281 172s [1] validation_0-logloss:0.30816 172s [2] validation_0-logloss:0.22816 172s [3] validation_0-logloss:0.17470 172s [4] validation_0-logloss:0.13438 172s [5] validation_0-logloss:0.10538 172s [6] validation_0-logloss:0.08467 172s [7] validation_0-logloss:0.06909 172s [8] validation_0-logloss:0.05766 172s [9] validation_0-logloss:0.04842 172s [10] validation_0-logloss:0.04121 172s [11] validation_0-logloss:0.03545 172s [12] validation_0-logloss:0.03077 172s [13] validation_0-logloss:0.02742 172s [14] validation_0-logloss:0.02444 172s [15] validation_0-logloss:0.02208 172s [16] validation_0-logloss:0.01993 172s [17] validation_0-logloss:0.01819 172s [18] validation_0-logloss:0.01676 172s [19] validation_0-logloss:0.01575 172s [20] validation_0-logloss:0.01461 172s [21] validation_0-logloss:0.01383 172s [22] validation_0-logloss:0.01304 172s [23] validation_0-logloss:0.01243 172s [24] validation_0-logloss:0.01179 172s [25] validation_0-logloss:0.01142 172s [26] validation_0-logloss:0.01103 172s [27] validation_0-logloss:0.01066 172s [28] validation_0-logloss:0.01037 172s [29] validation_0-logloss:0.00993 172s [30] validation_0-logloss:0.00966 172s [31] validation_0-logloss:0.00920 172s [0] validation_0-logloss:0.00900 172s [1] validation_0-logloss:0.00876 172s [2] validation_0-logloss:0.00852 172s [3] validation_0-logloss:0.00835 172s [4] validation_0-logloss:0.00810 172s [5] validation_0-logloss:0.00791 172s [6] validation_0-logloss:0.00764 172s [7] validation_0-logloss:0.00753 172s [8] validation_0-logloss:0.00739 172s [9] validation_0-logloss:0.00723 172s [10] validation_0-logloss:0.00706 172s [11] validation_0-logloss:0.00695 172s [12] validation_0-logloss:0.00688 172s [13] validation_0-logloss:0.00671 172s [14] validation_0-logloss:0.00662 172s [15] validation_0-logloss:0.00650 172s [16] validation_0-logloss:0.00637 172s [17] validation_0-logloss:0.00628 172s [18] validation_0-logloss:0.00623 172s [19] validation_0-logloss:0.00618 172s [20] validation_0-logloss:0.00614 172s [21] validation_0-logloss:0.00609 172s [22] validation_0-logloss:0.00600 172s [23] validation_0-logloss:0.00590 172s [24] validation_0-logloss:0.00582 172s [25] validation_0-logloss:0.00578 172s [26] validation_0-logloss:0.00570 172s [27] validation_0-logloss:0.00566 172s [28] validation_0-logloss:0.00563 172s [29] validation_0-logloss:0.00559 172s [30] validation_0-logloss:0.00556 172s [31] validation_0-logloss:0.00553 172s [32] validation_0-logloss:0.00549 172s [33] validation_0-logloss:0.00546 172s [34] validation_0-logloss:0.00543 172s [35] validation_0-logloss:0.00540 172s [36] validation_0-logloss:0.00537 172s [37] validation_0-logloss:0.00534 172s [38] validation_0-logloss:0.00531 172s [39] validation_0-logloss:0.00528 172s [40] validation_0-logloss:0.00525 172s [41] validation_0-logloss:0.00523 172s [42] validation_0-logloss:0.00520 172s [43] validation_0-logloss:0.00517 172s [44] validation_0-logloss:0.00515 172s [45] validation_0-logloss:0.00512 172s [46] validation_0-logloss:0.00510 172s [47] validation_0-logloss:0.00507 172s [48] validation_0-logloss:0.00505 172s [49] validation_0-logloss:0.00502 172s [50] validation_0-logloss:0.00500 172s [51] validation_0-logloss:0.00498 172s [52] validation_0-logloss:0.00496 172s [53] validation_0-logloss:0.00493 172s [54] validation_0-logloss:0.00491 172s [55] validation_0-logloss:0.00489 172s [56] validation_0-logloss:0.00486 172s [57] validation_0-logloss:0.00484 172s [58] validation_0-logloss:0.00482 172s [59] validation_0-logloss:0.00480 172s [60] validation_0-logloss:0.00478 172s [61] validation_0-logloss:0.00476 172s [62] validation_0-logloss:0.00474 172s [63] validation_0-logloss:0.00472 172s [64] validation_0-logloss:0.00470 172s [65] validation_0-logloss:0.00468 172s [66] validation_0-logloss:0.00466 172s [67] validation_0-logloss:0.00464 172s [68] validation_0-logloss:0.00463 172s [69] validation_0-logloss:0.00461 172s [70] validation_0-logloss:0.00459 172s [71] validation_0-logloss:0.00457 172s [72] validation_0-logloss:0.00456 172s [73] validation_0-logloss:0.00454 172s [74] validation_0-logloss:0.00452 172s [75] validation_0-logloss:0.00451 172s [76] validation_0-logloss:0.00449 172s [77] validation_0-logloss:0.00448 172s [78] validation_0-logloss:0.00446 172s [79] validation_0-logloss:0.00444 172s [80] validation_0-logloss:0.00443 172s [81] validation_0-logloss:0.00441 172s [82] validation_0-logloss:0.00440 172s [83] validation_0-logloss:0.00438 172s [84] validation_0-logloss:0.00437 172s [85] validation_0-logloss:0.00435 172s [86] validation_0-logloss:0.00434 172s [87] validation_0-logloss:0.00433 172s [88] validation_0-logloss:0.00431 172s [89] validation_0-logloss:0.00430 172s [90] validation_0-logloss:0.00429 172s [91] validation_0-logloss:0.00427 172s [92] validation_0-logloss:0.00426 172s [93] validation_0-logloss:0.00425 172s [94] validation_0-logloss:0.00423 172s [95] validation_0-logloss:0.00422 172s Total boosted rounds: 128 173s ========================================== 173s Running case cross_validation.py... 174s running cross validation 174s [0] train-error:0.05067+0.00920 test-error:0.05573+0.01589 174s [1] train-error:0.02130+0.00206 test-error:0.02119+0.00365 174s running cross validation, disable standard deviation display 174s [0] train-error:0.05067 test-error:0.05573 174s [1] train-error:0.02130 test-error:0.02119 174s [2] train-error:0.00994 test-error:0.00998 174s [3] train-error:0.01413 test-error:0.01443 174s [4] train-error:0.00599 test-error:0.00630 174s [5] train-error:0.00203 test-error:0.00169 174s [6] train-error:0.00123 test-error:0.00123 174s [7] train-error:0.00123 test-error:0.00123 174s [8] train-error:0.00092 test-error:0.00123 174s [9] train-error:0.00061 test-error:0.00123 174s /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`. 174s warnings.warn( 174s train-error-mean train-error-std test-error-mean test-error-std 174s 0 0.050668 0.009201 0.055732 0.015889 174s 1 0.021303 0.002055 0.021188 0.003653 174s 2 0.009942 0.006076 0.009979 0.004828 174s 3 0.014126 0.001706 0.014433 0.003517 174s 4 0.005988 0.001878 0.006295 0.003123 174s 5 0.002034 0.001469 0.001689 0.000574 174s 6 0.001228 0.000260 0.001228 0.001041 174s running cross validation, with preprocessing function 174s running cross validation, with customized loss function 174s ========================================== 174s Running case custom_rmsle.py... 174s /tmp/autopkgtest.RAkKWS/build.4ui/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s' 174s :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}` 175s Squared Error 175s [0] dtrain-rmse:682.95908 dtest-rmse:745.95555 175s [1] dtrain-rmse:627.66199 dtest-rmse:751.49583 175s [2] dtrain-rmse:596.74396 dtest-rmse:766.33054 175s [3] dtrain-rmse:555.92371 dtest-rmse:776.92703 175s [4] dtrain-rmse:519.58613 dtest-rmse:789.74145 175s [5] dtrain-rmse:501.26007 dtest-rmse:805.22881 175s [6] dtrain-rmse:453.81757 dtest-rmse:810.70817 175s [7] dtrain-rmse:423.51474 dtest-rmse:822.61798 176s [8] dtrain-rmse:383.34479 dtest-rmse:826.43243 176s [9] dtrain-rmse:371.08179 dtest-rmse:827.23674 176s [10] dtrain-rmse:353.11776 dtest-rmse:828.84174 176s [11] dtrain-rmse:316.42149 dtest-rmse:832.98904 176s [12] dtrain-rmse:300.24359 dtest-rmse:834.90637 176s [13] dtrain-rmse:285.81935 dtest-rmse:836.55001 176s [14] dtrain-rmse:278.47432 dtest-rmse:838.29965 176s [15] dtrain-rmse:266.08310 dtest-rmse:840.16158 176s [16] dtrain-rmse:261.48875 dtest-rmse:841.45332 176s [17] dtrain-rmse:253.15765 dtest-rmse:841.96773 176s [18] dtrain-rmse:246.41335 dtest-rmse:842.26433 176s [19] dtrain-rmse:242.90377 dtest-rmse:843.24280 176s Finished Squared Error in: 0.32799720764160156 176s 176s Squared Log Error 176s [0] dtrain-rmsle:1.31939 dtest-rmsle:1.26056 176s [1] dtrain-rmsle:1.22093 dtest-rmsle:1.16061 176s [2] dtrain-rmsle:1.13670 dtest-rmsle:1.07549 176s [3] dtrain-rmsle:1.06691 dtest-rmsle:1.00568 176s [4] dtrain-rmsle:1.01079 dtest-rmsle:0.95190 176s [5] dtrain-rmsle:0.96709 dtest-rmsle:0.91206 176s [6] dtrain-rmsle:0.93453 dtest-rmsle:0.88458 176s [7] dtrain-rmsle:0.90925 dtest-rmsle:0.86580 176s [8] dtrain-rmsle:0.89139 dtest-rmsle:0.85326 176s [9] dtrain-rmsle:0.87620 dtest-rmsle:0.84621 176s [10] dtrain-rmsle:0.86538 dtest-rmsle:0.84136 176s [11] dtrain-rmsle:0.85715 dtest-rmsle:0.83849 176s [12] dtrain-rmsle:0.84866 dtest-rmsle:0.83767 176s [13] dtrain-rmsle:0.84230 dtest-rmsle:0.83693 176s [14] dtrain-rmsle:0.83639 dtest-rmsle:0.83785 176s [15] dtrain-rmsle:0.83076 dtest-rmsle:0.83853 176s [16] dtrain-rmsle:0.82671 dtest-rmsle:0.83887 176s [17] dtrain-rmsle:0.82297 dtest-rmsle:0.83883 176s [18] dtrain-rmsle:0.81919 dtest-rmsle:0.83945 176s [19] dtrain-rmsle:0.81638 dtest-rmsle:0.83981 176s Finished Squared Log Error in: 0.09594845771789551 176s [0] dtrain-PyRMSLE:1.37154 dtest-PyRMSLE:1.31491 176s [1] dtrain-PyRMSLE:1.26642 dtest-PyRMSLE:1.20792 176s [2] dtrain-PyRMSLE:1.17525 dtest-PyRMSLE:1.11539 176s [3] dtrain-PyRMSLE:1.09848 dtest-PyRMSLE:1.03800 176s [4] dtrain-PyRMSLE:1.03565 dtest-PyRMSLE:0.97673 176s [5] dtrain-PyRMSLE:0.98595 dtest-PyRMSLE:0.93063 176s [6] dtrain-PyRMSLE:0.94774 dtest-PyRMSLE:0.89723 176s [7] dtrain-PyRMSLE:0.91977 dtest-PyRMSLE:0.87448 176s [8] dtrain-PyRMSLE:0.89796 dtest-PyRMSLE:0.85932 176s [9] dtrain-PyRMSLE:0.88141 dtest-PyRMSLE:0.85028 176s [10] dtrain-PyRMSLE:0.86816 dtest-PyRMSLE:0.84450 176s [11] dtrain-PyRMSLE:0.85991 dtest-PyRMSLE:0.84015 176s [12] dtrain-PyRMSLE:0.85120 dtest-PyRMSLE:0.83900 176s [13] dtrain-PyRMSLE:0.84384 dtest-PyRMSLE:0.83775 176s [14] dtrain-PyRMSLE:0.83741 dtest-PyRMSLE:0.83732 176s [15] dtrain-PyRMSLE:0.83253 dtest-PyRMSLE:0.83800 176s [16] dtrain-PyRMSLE:0.82842 dtest-PyRMSLE:0.83827 176s [17] dtrain-PyRMSLE:0.82535 dtest-PyRMSLE:0.83844 176s [18] dtrain-PyRMSLE:0.82169 dtest-PyRMSLE:0.83953 176s [19] dtrain-PyRMSLE:0.81857 dtest-PyRMSLE:0.84046 176s ========================================== 176s Running case custom_softmax.py... 178s /tmp/autopkgtest.RAkKWS/build.4ui/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.) 178s grad[r, c] = g 178s [0] train-PyMError:0.14000 178s [1] train-PyMError:0.00000 178s [2] train-PyMError:0.01000 178s [3] train-PyMError:0.00000 178s [4] train-PyMError:0.00000 178s [5] train-PyMError:0.00000 178s [6] train-PyMError:0.00000 178s [7] train-PyMError:0.00000 178s [8] train-PyMError:0.00000 178s [9] train-PyMError:0.00000 178s [0] train-merror:0.14000 178s [1] train-merror:0.00000 178s [2] train-merror:0.01000 178s [3] train-merror:0.00000 178s [4] train-merror:0.00000 178s [5] train-merror:0.00000 178s [6] train-merror:0.00000 178s [7] train-merror:0.00000 178s [8] train-merror:0.00000 178s [9] train-merror:0.00000 178s ========================================== 178s Running case evals_result.py... 179s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 179s warnings.warn(msg, FutureWarning) 179s [0] eval-logloss:0.47977 eval-error:0.04283 train-logloss:0.48196 train-error:0.04652 179s [1] eval-logloss:0.35740 eval-error:0.04283 train-logloss:0.35919 train-error:0.04652 179s Access logloss metric directly from evals_result: 179s [0.4797663698279288, 0.35739665886839306] 179s 179s Access metrics through a loop: 179s - eval 179s - logloss 179s - [0.4797663698279288, 0.35739665886839306] 179s - error 179s - [0.04283054003724395, 0.04283054003724395] 179s - train 179s - logloss 179s - [0.4819583435789261, 0.35919429156594646] 179s - error 179s - [0.04652233993551359, 0.04652233993551359] 179s 179s Access complete dictionary: 179s {'eval': OrderedDict({'logloss': [0.4797663698279288, 0.35739665886839306], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.4819583435789261, 0.35919429156594646], 'error': [0.04652233993551359, 0.04652233993551359]})} 179s ========================================== 179s Running case external_memory.py... 180s [0] Train-rmse:170.67905 180s [1] Train-rmse:166.88130 180s [2] Train-rmse:163.67251 180s [3] Train-rmse:160.83024 181s [4] Train-rmse:158.26351 181s [5] Train-rmse:155.91569 181s [6] Train-rmse:153.74380 181s [7] Train-rmse:151.74583 181s [8] Train-rmse:149.92400 181s [9] Train-rmse:148.14658 181s ========================================== 181s Running case feature_weights.py... 182s [0] d-rmse:1.00430 182s [1] d-rmse:0.99638 182s [2] d-rmse:0.98161 182s [3] d-rmse:0.97086 182s [4] d-rmse:0.96269 182s [5] d-rmse:0.94829 182s [6] d-rmse:0.93914 182s [7] d-rmse:0.93187 182s [8] d-rmse:0.92274 182s [9] d-rmse:0.91749 183s ========================================== 183s Skip case gamma_regression.py... 183s ========================================== 183s Running case generalized_linear_model.py... 184s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 184s warnings.warn(msg, FutureWarning) 184s [0] eval-logloss:0.57157 train-logloss:0.56894 184s [1] eval-logloss:0.53033 train-logloss:0.52671 184s [2] eval-logloss:0.51458 train-logloss:0.51058 184s [3] eval-logloss:0.50826 train-logloss:0.50411 184s error=0.118560 184s ========================================== 184s Running case individual_trees.py... 185s ========================================== 185s Skip case learning_to_rank.py... 185s ========================================== 185s Running case multioutput_regression.py... 187s [0] validation_0-rmse:0.29417 187s [1] validation_0-rmse:0.26360 187s [2] validation_0-rmse:0.23619 187s [3] validation_0-rmse:0.22068 187s [4] validation_0-rmse:0.20681 187s [5] validation_0-rmse:0.19295 187s [6] validation_0-rmse:0.17849 187s [7] validation_0-rmse:0.16562 187s [8] validation_0-rmse:0.15492 187s [9] validation_0-rmse:0.14493 187s [10] validation_0-rmse:0.13892 187s [11] validation_0-rmse:0.13172 187s [12] validation_0-rmse:0.12253 187s [13] validation_0-rmse:0.11744 187s [14] validation_0-rmse:0.10981 187s [15] validation_0-rmse:0.10176 187s [16] validation_0-rmse:0.09476 187s [17] 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validation_0-rmse:0.00093 187s [110] validation_0-rmse:0.00091 187s [111] validation_0-rmse:0.00087 187s [112] validation_0-rmse:0.00086 187s [113] validation_0-rmse:0.00084 187s [114] validation_0-rmse:0.00084 187s [115] validation_0-rmse:0.00083 187s [116] validation_0-rmse:0.00083 187s [117] validation_0-rmse:0.00082 187s [118] validation_0-rmse:0.00082 187s [119] validation_0-rmse:0.00081 187s [120] validation_0-rmse:0.00080 187s [121] validation_0-rmse:0.00079 187s [122] validation_0-rmse:0.00079 187s [123] validation_0-rmse:0.00078 187s [124] validation_0-rmse:0.00078 187s [125] validation_0-rmse:0.00077 187s [126] validation_0-rmse:0.00077 187s [127] validation_0-rmse:0.00076 187s [0] Train-rmse:0.28597 Train-PyRMSE:4.04424 187s [1] Train-rmse:0.25494 Train-PyRMSE:3.60534 187s [2] Train-rmse:0.23359 Train-PyRMSE:3.30341 187s [3] Train-rmse:0.21640 Train-PyRMSE:3.06038 187s [4] Train-rmse:0.20574 Train-PyRMSE:2.90962 187s [5] Train-rmse:0.19311 Train-PyRMSE:2.73098 187s [6] 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Train-PyRMSE:0.14109 187s [98] Train-rmse:0.00954 Train-PyRMSE:0.13496 187s [99] Train-rmse:0.00948 Train-PyRMSE:0.13406 187s [100] Train-rmse:0.00926 Train-PyRMSE:0.13098 187s [101] Train-rmse:0.00901 Train-PyRMSE:0.12747 187s [102] Train-rmse:0.00885 Train-PyRMSE:0.12510 187s [103] Train-rmse:0.00847 Train-PyRMSE:0.11979 187s [104] Train-rmse:0.00833 Train-PyRMSE:0.11784 187s [105] Train-rmse:0.00791 Train-PyRMSE:0.11187 187s [106] Train-rmse:0.00787 Train-PyRMSE:0.11125 187s [107] Train-rmse:0.00755 Train-PyRMSE:0.10682 187s [108] Train-rmse:0.00724 Train-PyRMSE:0.10245 187s [109] Train-rmse:0.00705 Train-PyRMSE:0.09976 187s [110] Train-rmse:0.00683 Train-PyRMSE:0.09662 187s [111] Train-rmse:0.00656 Train-PyRMSE:0.09274 187s [112] Train-rmse:0.00641 Train-PyRMSE:0.09058 187s [113] Train-rmse:0.00631 Train-PyRMSE:0.08921 187s [114] Train-rmse:0.00606 Train-PyRMSE:0.08569 187s [115] Train-rmse:0.00583 Train-PyRMSE:0.08241 187s [116] Train-rmse:0.00578 Train-PyRMSE:0.08175 187s [117] Train-rmse:0.00562 Train-PyRMSE:0.07946 187s [118] Train-rmse:0.00553 Train-PyRMSE:0.07818 187s [119] Train-rmse:0.00533 Train-PyRMSE:0.07539 187s [120] Train-rmse:0.00514 Train-PyRMSE:0.07262 187s [121] Train-rmse:0.00510 Train-PyRMSE:0.07211 187s [122] Train-rmse:0.00501 Train-PyRMSE:0.07088 187s [123] Train-rmse:0.00489 Train-PyRMSE:0.06912 187s [124] Train-rmse:0.00475 Train-PyRMSE:0.06722 187s [125] Train-rmse:0.00473 Train-PyRMSE:0.06690 187s [126] Train-rmse:0.00467 Train-PyRMSE:0.06603 187s [127] Train-rmse:0.00443 Train-PyRMSE:0.06259 188s ========================================== 188s Running case predict_first_ntree.py... 189s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 189s warnings.warn(msg, FutureWarning) 189s [0] eval-logloss:0.22646 train-logloss:0.23316 189s [1] eval-logloss:0.13776 train-logloss:0.13654 189s [2] eval-logloss:0.08036 train-logloss:0.08243 189s start testing prediction from first n trees 189s error of ypred1=0.042831 189s error of ypred2=0.006207 189s [0] validation_0-logloss:0.22646 189s [1] validation_0-logloss:0.13776 189s [2] validation_0-logloss:0.08036 189s start testing prediction from first n trees 189s error of ypred1=0.042831 189s error of ypred2=0.006207 189s ========================================== 189s Running case predict_leaf_indices.py... 190s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 190s warnings.warn(msg, FutureWarning) 190s [0] eval-logloss:0.22646 train-logloss:0.23316 190s [1] eval-logloss:0.13776 train-logloss:0.13654 190s [2] eval-logloss:0.08036 train-logloss:0.08243 190s start testing predict the leaf indices 190s (1611, 2, 1, 1) 190s [[[[5.]] 190s 190s [[4.]]] 190s 190s 190s [[[6.]] 190s 190s [[4.]]] 190s 190s 190s [[[5.]] 190s 190s [[4.]]] 190s 190s 190s ... 190s 190s 190s [[[6.]] 190s 190s [[4.]]] 190s 190s 190s [[[4.]] 190s 190s [[3.]]] 190s 190s 190s [[[6.]] 190s 190s [[4.]]]] 190s (1611, 3) 190s ========================================== 190s Skip case quantile_data_iterator.py... 190s ========================================== 190s Running case quantile_regression.py... 191s [0] Train-quantile:1.50159 Test-quantile:1.45489 191s [1] Train-quantile:1.41395 Test-quantile:1.36960 191s [2] Train-quantile:1.33178 Test-quantile:1.28702 191s [3] Train-quantile:1.25429 Test-quantile:1.21133 191s [4] Train-quantile:1.18373 Test-quantile:1.13959 191s [5] Train-quantile:1.11898 Test-quantile:1.07261 191s [6] Train-quantile:1.05770 Test-quantile:1.01264 191s [7] Train-quantile:1.00142 Test-quantile:0.96139 191s [8] Train-quantile:0.94844 Test-quantile:0.91339 191s [9] Train-quantile:0.89917 Test-quantile:0.86934 191s [10] Train-quantile:0.85692 Test-quantile:0.82830 191s [11] Train-quantile:0.81823 Test-quantile:0.79270 191s [12] Train-quantile:0.78400 Test-quantile:0.75817 191s [13] Train-quantile:0.75333 Test-quantile:0.72983 191s [14] Train-quantile:0.72555 Test-quantile:0.70335 191s [15] Train-quantile:0.69885 Test-quantile:0.67960 191s [16] Train-quantile:0.67482 Test-quantile:0.65947 191s [17] Train-quantile:0.65359 Test-quantile:0.64055 191s [18] Train-quantile:0.63363 Test-quantile:0.62346 191s [19] Train-quantile:0.61495 Test-quantile:0.60855 191s [20] Train-quantile:0.59783 Test-quantile:0.59489 191s [21] Train-quantile:0.58197 Test-quantile:0.58130 191s [22] Train-quantile:0.56682 Test-quantile:0.56949 191s [23] Train-quantile:0.55237 Test-quantile:0.55744 191s [24] Train-quantile:0.53809 Test-quantile:0.54622 191s [25] Train-quantile:0.52441 Test-quantile:0.53571 191s [26] Train-quantile:0.51174 Test-quantile:0.52520 191s [27] Train-quantile:0.49974 Test-quantile:0.51546 191s [28] Train-quantile:0.48865 Test-quantile:0.50628 191s [29] Train-quantile:0.47833 Test-quantile:0.49784 191s [30] Train-quantile:0.46895 Test-quantile:0.48966 191s [31] Train-quantile:0.45900 Test-quantile:0.48302 191s [0] Train-rmse:4.32523 Test-rmse:4.63143 191s [1] Train-rmse:4.21367 Test-rmse:4.53399 191s [2] Train-rmse:4.10813 Test-rmse:4.44222 191s [3] Train-rmse:4.00795 Test-rmse:4.35559 191s [4] Train-rmse:3.91314 Test-rmse:4.27507 191s [5] Train-rmse:3.82342 Test-rmse:4.19994 191s [6] Train-rmse:3.73860 Test-rmse:4.12864 191s [7] Train-rmse:3.65855 Test-rmse:4.06333 191s [8] Train-rmse:3.58302 Test-rmse:3.99920 191s [9] Train-rmse:3.51166 Test-rmse:3.94100 191s [10] Train-rmse:3.44443 Test-rmse:3.88581 191s [11] Train-rmse:3.38085 Test-rmse:3.83491 191s [12] Train-rmse:3.32121 Test-rmse:3.78659 191s [13] Train-rmse:3.26491 Test-rmse:3.74137 191s [14] Train-rmse:3.21217 Test-rmse:3.69918 191s [15] Train-rmse:3.16233 Test-rmse:3.66047 191s [16] Train-rmse:3.11625 Test-rmse:3.62292 191s [17] Train-rmse:3.07250 Test-rmse:3.58980 191s [18] Train-rmse:3.03120 Test-rmse:3.55971 191s [19] Train-rmse:2.99260 Test-rmse:3.53039 191s [20] Train-rmse:2.95471 Test-rmse:3.50273 191s [21] Train-rmse:2.92082 Test-rmse:3.47765 191s [22] Train-rmse:2.88707 Test-rmse:3.45409 191s [23] Train-rmse:2.85719 Test-rmse:3.43196 191s [24] Train-rmse:2.82955 Test-rmse:3.41116 191s [25] Train-rmse:2.80145 Test-rmse:3.39262 191s [26] Train-rmse:2.77526 Test-rmse:3.37544 191s [27] Train-rmse:2.75237 Test-rmse:3.35703 191s [28] Train-rmse:2.73071 Test-rmse:3.34065 191s [29] Train-rmse:2.70895 Test-rmse:3.32714 191s [30] Train-rmse:2.69007 Test-rmse:3.31295 191s [31] Train-rmse:2.67125 Test-rmse:3.30119 191s ========================================== 191s Running case sklearn_evals_result.py... 192s [0] validation_0-logloss:0.63169 validation_1-logloss:0.65974 192s [1] validation_0-logloss:0.58449 validation_1-logloss:0.62161 192s Access logloss metric directly from validation_0: 192s [0.6316909282654524, 0.5844871088303626] 192s 192s Access metrics through a loop: 192s - validation_0 192s - logloss 192s - [0.6316909282654524, 0.5844871088303626] 192s - validation_1 192s - logloss 192s - [0.6597448766976595, 0.6216080508381129] 192s 192s Access complete dict: 192s {'validation_0': OrderedDict({'logloss': [0.6316909282654524, 0.5844871088303626]}), 'validation_1': OrderedDict({'logloss': [0.6597448766976595, 0.6216080508381129]})} 193s ========================================== 193s Running case sklearn_examples.py... 197s Zeros and Ones from the Digits dataset: binary classification 197s [[87 0] 197s [ 1 92]] 197s [[91 0] 197s [ 3 86]] 197s Iris: multiclass classification 197s [[19 0 0] 197s [ 1 31 2] 197s [ 0 3 19]] 197s [[31 0 0] 197s [ 0 16 0] 197s [ 0 1 27]] 197s California Housing: regression 197s 0.2310805601814026 197s 0.23533764411819863 197s Parameter optimization 197s Fitting 3 folds for each of 4 candidates, totalling 12 fits 197s 0.6838972456687431 197s {'max_depth': 4, 'n_estimators': 100} 197s Pickling sklearn API models 197s True 197s [0] validation_0-auc:0.99020 197s [1] validation_0-auc:0.99975 197s [2] validation_0-auc:0.99975 197s [3] validation_0-auc:0.99975 197s [4] validation_0-auc:0.99975 197s [5] validation_0-auc:0.99975 197s [6] validation_0-auc:1.00000 197s [7] validation_0-auc:1.00000 197s [8] validation_0-auc:1.00000 197s [9] validation_0-auc:1.00000 197s [10] validation_0-auc:1.00000 197s [11] validation_0-auc:1.00000 197s [12] validation_0-auc:1.00000 197s [13] validation_0-auc:1.00000 197s [14] validation_0-auc:1.00000 197s [15] validation_0-auc:1.00000 197s ========================================== 197s Running case sklearn_parallel.py... 198s Parallel Parameter optimization 198s Fitting 5 folds for each of 9 candidates, totalling 45 fits 204s 0.688555675183378 204s {'max_depth': 4, 'n_estimators': 50} 204s Exception ignored in: 204s Traceback (most recent call last): 204s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 204s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 204s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 204s ChildProcessError: [Errno 10] No child processes 204s Exception ignored in: 204s Traceback (most recent call last): 204s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 204s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 204s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 204s ChildProcessError: [Errno 10] No child processes 205s ========================================== 205s Skip case spark_estimator_examples.py... 205s ========================================== 205s Skip case update_process.py... 205s ========================================== 205s All cases passed. 205s /tmp/autopkgtest.RAkKWS/wrapper.sh: Killing leaked background processes: 3207 205s PID TTY STAT TIME COMMAND 205s 3207 ? R 0:00 /usr/bin/python3 -c from joblib.externals.loky.backend.resource_tracker import main; main(3, False) 205s autopkgtest [10:32:48]: test run-demos: -----------------------] 206s autopkgtest [10:32:49]: test run-demos: - - - - - - - - - - results - - - - - - - - - - 206s run-demos PASS 206s autopkgtest [10:32:49]: @@@@@@@@@@@@@@@@@@@@ summary 206s run-demos PASS 211s nova [W] Using flock in prodstack6-arm64 211s Creating nova instance adt-questing-arm64-xgboost-20250502-102922-juju-7f2275-prod-proposed-migration-environment-15-f97b488a-8cbb-44d3-851c-5278dabdb5d7 from image adt/ubuntu-questing-arm64-server-20250502.img (UUID a0b7b7fd-ad05-4ea9-97eb-0f52dbbe98e1)... 211s nova [W] Timed out waiting for 693276bc-617e-47b0-be60-23cf5e9022b5 to get deleted.