0s autopkgtest [18:28:08]: starting date and time: 2025-05-01 18:28:08+0000 0s autopkgtest [18:28:08]: git checkout: 9986aa8c Merge branch 'skia/fix_network_interface' into 'ubuntu/production' 0s autopkgtest [18:28:08]: host juju-7f2275-prod-proposed-migration-environment-21; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.cbynmvrd/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:ca-certificates --apt-upgrade xgboost --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=ca-certificates/20250419 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest-cpu2-ram4-disk20-arm64 --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-21@sto01-arm64-8.secgroup --name adt-questing-arm64-xgboost-20250501-182808-juju-7f2275-prod-proposed-migration-environment-21-61a38d00-4221-4ea5-83e3-1f899af6fac0 --image adt/ubuntu-questing-arm64-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-21 --net-id=net_prod-autopkgtest-workers-arm64 -e TERM=linux --mirror=http://ftpmaster.internal/ubuntu/ 153s autopkgtest [18:30:41]: testbed dpkg architecture: arm64 153s autopkgtest [18:30:41]: testbed apt version: 3.0.0 153s autopkgtest [18:30:41]: @@@@@@@@@@@@@@@@@@@@ test bed setup 153s autopkgtest [18:30:41]: testbed release detected to be: None 154s autopkgtest [18:30:42]: updating testbed package index (apt update) 154s Get:1 http://ftpmaster.internal/ubuntu questing-proposed InRelease [110 kB] 154s Hit:2 http://ftpmaster.internal/ubuntu questing InRelease 154s Hit:3 http://ftpmaster.internal/ubuntu questing-updates InRelease 154s Hit:4 http://ftpmaster.internal/ubuntu questing-security InRelease 154s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/main Sources [126 kB] 154s Get:6 http://ftpmaster.internal/ubuntu questing-proposed/multiverse Sources [27.6 kB] 154s Get:7 http://ftpmaster.internal/ubuntu questing-proposed/universe Sources [1149 kB] 157s Get:8 http://ftpmaster.internal/ubuntu questing-proposed/main arm64 Packages [48.4 kB] 157s Get:9 http://ftpmaster.internal/ubuntu questing-proposed/universe arm64 Packages [261 kB] 157s Get:10 http://ftpmaster.internal/ubuntu questing-proposed/multiverse arm64 Packages [2328 B] 157s Fetched 1725 kB in 3s (505 kB/s) 158s Reading package lists... 158s autopkgtest [18:30:46]: upgrading testbed (apt dist-upgrade and autopurge) 159s Reading package lists... 159s Building dependency tree... 159s Reading state information... 159s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 159s Starting 2 pkgProblemResolver with broken count: 0 159s Done 160s Entering ResolveByKeep 160s 160s Calculating upgrade... 161s The following packages will be upgraded: 161s ca-certificates libperl5.40 perl perl-base perl-modules-5.40 161s 5 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 161s Need to get 10.2 MB of archives. 161s After this operation, 7168 B disk space will be freed. 161s Get:1 http://ftpmaster.internal/ubuntu questing-proposed/main arm64 libperl5.40 arm64 5.40.1-3 [4780 kB] 168s Get:2 http://ftpmaster.internal/ubuntu questing-proposed/main arm64 perl arm64 5.40.1-3 [262 kB] 168s Get:3 http://ftpmaster.internal/ubuntu questing-proposed/main arm64 perl-base arm64 5.40.1-3 [1786 kB] 170s Get:4 http://ftpmaster.internal/ubuntu questing-proposed/main arm64 perl-modules-5.40 all 5.40.1-3 [3217 kB] 175s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/main arm64 ca-certificates all 20250419 [163 kB] 175s Preconfiguring packages ... 176s Fetched 10.2 MB in 14s (744 kB/s) 176s (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 ... 85224 files and directories currently installed.) 176s Preparing to unpack .../libperl5.40_5.40.1-3_arm64.deb ... 176s Unpacking libperl5.40:arm64 (5.40.1-3) over (5.40.1-2ubuntu0.1) ... 176s Preparing to unpack .../perl_5.40.1-3_arm64.deb ... 176s Unpacking perl (5.40.1-3) over (5.40.1-2ubuntu0.1) ... 176s Preparing to unpack .../perl-base_5.40.1-3_arm64.deb ... 176s Unpacking perl-base (5.40.1-3) over (5.40.1-2ubuntu0.1) ... 176s Setting up perl-base (5.40.1-3) ... 176s (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 ... 85224 files and directories currently installed.) 176s Preparing to unpack .../perl-modules-5.40_5.40.1-3_all.deb ... 176s Unpacking perl-modules-5.40 (5.40.1-3) over (5.40.1-2ubuntu0.1) ... 177s Preparing to unpack .../ca-certificates_20250419_all.deb ... 177s Unpacking ca-certificates (20250419) over (20241223) ... 177s Setting up ca-certificates (20250419) ... 179s Updating certificates in /etc/ssl/certs... 180s rehash: warning: skipping ca-certificates.crt, it does not contain exactly one certificate or CRL 180s 2 added, 4 removed; done. 180s Setting up perl-modules-5.40 (5.40.1-3) ... 180s Setting up libperl5.40:arm64 (5.40.1-3) ... 180s Setting up perl (5.40.1-3) ... 180s Processing triggers for man-db (2.13.0-1) ... 181s Processing triggers for libc-bin (2.41-6ubuntu1) ... 181s Processing triggers for ca-certificates (20250419) ... 181s Updating certificates in /etc/ssl/certs... 182s 0 added, 0 removed; done. 182s Running hooks in /etc/ca-certificates/update.d... 182s done. 182s Reading package lists... 182s Building dependency tree... 182s Reading state information... 182s Starting pkgProblemResolver with broken count: 0 183s Starting 2 pkgProblemResolver with broken count: 0 183s Done 183s Solving dependencies... 183s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 185s autopkgtest [18:31:13]: testbed running kernel: Linux 6.14.0-15-generic #15-Ubuntu SMP PREEMPT_DYNAMIC Sun Apr 6 14:37:51 UTC 2025 186s autopkgtest [18:31:14]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost 190s Get:1 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (dsc) [2340 B] 190s Get:2 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (tar) [2138 kB] 190s Get:3 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (diff) [23.2 kB] 191s gpgv: Signature made Wed Mar 5 01:20:21 2025 UTC 191s gpgv: using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2 191s gpgv: Can't check signature: No public key 191s dpkg-source: warning: cannot verify inline signature for ./xgboost_2.1.4-1build1.dsc: no acceptable signature found 191s autopkgtest [18:31:19]: testing package xgboost version 2.1.4-1build1 191s autopkgtest [18:31:19]: build not needed 192s autopkgtest [18:31:20]: test run-demos: preparing testbed 192s Reading package lists... 192s Building dependency tree... 192s Reading state information... 193s Starting pkgProblemResolver with broken count: 0 193s Starting 2 pkgProblemResolver with broken count: 0 193s Done 193s The following NEW packages will be installed: 193s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3 193s libdeflate0 libdmlc0t64 libfontconfig1 libgfortran5 libgomp1 libgraphite2-3 193s libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery 193s libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libopenjp2-7 193s libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7 193s libwebpdemux2 libwebpmux3 libxft2 libxgboost-dev libxgboost0 libxrender1 193s libxslt1.1 libxss1 python-matplotlib-data python3-brotli python3-contourpy 193s python3-cycler python3-decorator python3-fonttools python3-fs python3-joblib 193s python3-kiwisolver python3-lxml python3-lz4 python3-matplotlib 193s python3-mpmath python3-numpy python3-numpy-dev python3-pandas 193s python3-pandas-lib python3-pil python3-pil.imagetk python3-platformdirs 193s python3-pytz python3-scipy python3-sklearn python3-sklearn-lib python3-sympy 193s python3-threadpoolctl python3-tk python3-tz python3-ufolib2 193s python3-unicodedata2 python3-xgboost python3.13-tk tk8.6-blt2.5 unicode-data 193s x11-common 193s 0 upgraded, 74 newly installed, 0 to remove and 0 not upgraded. 193s Need to get 85.9 MB of archives. 193s After this operation, 365 MB of additional disk space will be used. 193s Get:1 http://ftpmaster.internal/ubuntu questing/main arm64 python3-numpy-dev arm64 1:2.2.3+ds-5 [146 kB] 193s Get:2 http://ftpmaster.internal/ubuntu questing/main arm64 libblas3 arm64 3.12.1-2 [161 kB] 193s Get:3 http://ftpmaster.internal/ubuntu questing/main arm64 libgfortran5 arm64 15-20250404-0ubuntu1 [444 kB] 193s Get:4 http://ftpmaster.internal/ubuntu questing/main arm64 liblapack3 arm64 3.12.1-2 [2307 kB] 198s Get:5 http://ftpmaster.internal/ubuntu questing/main arm64 python3-numpy arm64 1:2.2.3+ds-5 [3981 kB] 204s Get:6 http://ftpmaster.internal/ubuntu questing/main arm64 libtcl8.6 arm64 8.6.16+dfsg-1 [987 kB] 205s Get:7 http://ftpmaster.internal/ubuntu questing/main arm64 fonts-dejavu-mono all 2.37-8 [502 kB] 205s Get:8 http://ftpmaster.internal/ubuntu questing/main arm64 fonts-dejavu-core all 2.37-8 [835 kB] 207s Get:9 http://ftpmaster.internal/ubuntu questing/main arm64 fontconfig-config arm64 2.15.0-2.2ubuntu1 [37.9 kB] 207s Get:10 http://ftpmaster.internal/ubuntu questing/main arm64 libfontconfig1 arm64 2.15.0-2.2ubuntu1 [144 kB] 207s Get:11 http://ftpmaster.internal/ubuntu questing/main arm64 libxrender1 arm64 1:0.9.10-1.1build1 [18.8 kB] 207s Get:12 http://ftpmaster.internal/ubuntu questing/main arm64 libxft2 arm64 2.3.6-1build1 [44.1 kB] 207s Get:13 http://ftpmaster.internal/ubuntu questing/main arm64 x11-common all 1:7.7+23ubuntu4 [21.8 kB] 207s Get:14 http://ftpmaster.internal/ubuntu questing/main arm64 libxss1 arm64 1:1.2.3-1build3 [7244 B] 207s Get:15 http://ftpmaster.internal/ubuntu questing/main arm64 libtk8.6 arm64 8.6.16-1 [776 kB] 208s Get:16 http://ftpmaster.internal/ubuntu questing/main arm64 tk8.6-blt2.5 arm64 2.5.3+dfsg-8 [624 kB] 209s Get:17 http://ftpmaster.internal/ubuntu questing/main arm64 blt arm64 2.5.3+dfsg-8 [4824 B] 209s Get:18 http://ftpmaster.internal/ubuntu questing/universe arm64 fonts-lyx all 2.4.3-1 [171 kB] 209s Get:19 http://ftpmaster.internal/ubuntu questing/main arm64 libdeflate0 arm64 1.23-1 [46.2 kB] 209s Get:20 http://ftpmaster.internal/ubuntu questing/main arm64 libgomp1 arm64 15-20250404-0ubuntu1 [147 kB] 209s Get:21 http://ftpmaster.internal/ubuntu questing/universe arm64 libdmlc0t64 arm64 0.5+git20240614.1334185-1 [174 kB] 209s Get:22 http://ftpmaster.internal/ubuntu questing/main arm64 libgraphite2-3 arm64 1.3.14-2ubuntu1 [70.6 kB] 209s Get:23 http://ftpmaster.internal/ubuntu questing/main arm64 libharfbuzz0b arm64 10.2.0-1 [490 kB] 209s Get:24 http://ftpmaster.internal/ubuntu questing/main arm64 libimagequant0 arm64 2.18.0-1build1 [37.1 kB] 209s Get:25 http://ftpmaster.internal/ubuntu questing/main arm64 libjpeg-turbo8 arm64 2.1.5-3ubuntu2 [165 kB] 209s Get:26 http://ftpmaster.internal/ubuntu questing/main arm64 libjpeg8 arm64 8c-2ubuntu11 [2148 B] 209s Get:27 http://ftpmaster.internal/ubuntu questing/main arm64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 209s Get:28 http://ftpmaster.internal/ubuntu questing/universe arm64 libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 209s Get:29 http://ftpmaster.internal/ubuntu questing/universe arm64 liblbfgsb0 arm64 3.0+dfsg.4-1build1 [27.7 kB] 209s Get:30 http://ftpmaster.internal/ubuntu questing/main arm64 liblcms2-2 arm64 2.16-2 [170 kB] 209s Get:31 http://ftpmaster.internal/ubuntu questing/main arm64 liblerc4 arm64 4.0.0+ds-5ubuntu1 [167 kB] 209s Get:32 http://ftpmaster.internal/ubuntu questing/universe arm64 libqhull-r8.0 arm64 2020.2-6build1 [189 kB] 209s Get:33 http://ftpmaster.internal/ubuntu questing/main arm64 libraqm0 arm64 0.10.2-1 [14.9 kB] 209s Get:34 http://ftpmaster.internal/ubuntu questing/main arm64 libsharpyuv0 arm64 1.5.0-0.1 [16.9 kB] 209s Get:35 http://ftpmaster.internal/ubuntu questing/main arm64 libjbig0 arm64 2.1-6.1ubuntu2 [29.3 kB] 209s Get:36 http://ftpmaster.internal/ubuntu questing/main arm64 libwebp7 arm64 1.5.0-0.1 [194 kB] 209s Get:37 http://ftpmaster.internal/ubuntu questing/main arm64 libtiff6 arm64 4.5.1+git230720-4ubuntu4 [193 kB] 209s Get:38 http://ftpmaster.internal/ubuntu questing/main arm64 libwebpdemux2 arm64 1.5.0-0.1 [12.5 kB] 209s Get:39 http://ftpmaster.internal/ubuntu questing/main arm64 libwebpmux3 arm64 1.5.0-0.1 [25.4 kB] 209s Get:40 http://ftpmaster.internal/ubuntu questing/universe arm64 libxgboost0 arm64 2.1.4-1build1 [2039 kB] 212s Get:41 http://ftpmaster.internal/ubuntu questing/universe arm64 libxgboost-dev arm64 2.1.4-1build1 [74.3 kB] 212s Get:42 http://ftpmaster.internal/ubuntu questing/main arm64 libxslt1.1 arm64 1.1.39-0exp1ubuntu4 [168 kB] 212s Get:43 http://ftpmaster.internal/ubuntu questing/universe arm64 python-matplotlib-data all 3.8.3-7build1 [2934 kB] 217s Get:44 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-brotli arm64 1.1.0-2build4 [342 kB] 217s Get:45 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-contourpy arm64 1.3.1-1build1 [182 kB] 217s Get:46 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-cycler all 0.12.1-1 [9716 B] 217s Get:47 http://ftpmaster.internal/ubuntu questing/main arm64 python3-decorator all 5.1.1-5 [10.1 kB] 217s Get:48 http://ftpmaster.internal/ubuntu questing/main arm64 python3-platformdirs all 4.3.6-1 [16.8 kB] 217s Get:49 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-fs all 2.4.16-7 [90.8 kB] 217s Get:50 http://ftpmaster.internal/ubuntu questing/main arm64 python3-lxml arm64 5.3.2-1 [1258 kB] 218s Get:51 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-lz4 arm64 4.4.0+dfsg-1build1 [27.1 kB] 218s Get:52 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-scipy arm64 1.14.1-4ubuntu2 [16.7 MB] 242s Get:53 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-mpmath all 1.3.0-1 [425 kB] 242s Get:54 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-sympy all 1.13.3-5 [4229 kB] 248s Get:55 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB] 248s Get:56 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-unicodedata2 arm64 15.1.0+ds-1build3 [360 kB] 248s Get:57 http://ftpmaster.internal/ubuntu questing/universe arm64 unicode-data all 15.1.0-1 [8878 kB] 261s Get:58 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-fonttools arm64 4.55.3-2build1 [1466 kB] 263s Get:59 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-joblib all 1.4.2-3 [205 kB] 263s Get:60 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-kiwisolver arm64 1.4.7-3build1 [50.7 kB] 263s Get:61 http://ftpmaster.internal/ubuntu questing/main arm64 libopenjp2-7 arm64 2.5.3-2 [183 kB] 263s Get:62 http://ftpmaster.internal/ubuntu questing/main arm64 python3-pil arm64 11.1.0-5build1 [463 kB] 263s Get:63 http://ftpmaster.internal/ubuntu questing/main arm64 python3.13-tk arm64 3.13.3-1 [106 kB] 263s Get:64 http://ftpmaster.internal/ubuntu questing/main arm64 python3-tk arm64 3.13.3-1 [9856 B] 263s Get:65 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-pil.imagetk arm64 11.1.0-5build1 [9892 B] 263s Get:66 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-matplotlib arm64 3.8.3-7build1 [17.3 MB] 288s Get:67 http://ftpmaster.internal/ubuntu questing/main arm64 python3-pytz all 2025.1-3 [162 kB] 288s Get:68 http://ftpmaster.internal/ubuntu questing/main arm64 python3-tz all 2025.1-3 [1866 B] 288s Get:69 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-pandas-lib arm64 2.2.3+dfsg-8build1 [4586 kB] 294s Get:70 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-pandas all 2.2.3+dfsg-8build1 [3112 kB] 299s Get:71 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-threadpoolctl all 3.1.0-1 [21.3 kB] 299s Get:72 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-sklearn-lib arm64 1.4.2+dfsg-8 [4109 kB] 305s Get:73 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-sklearn all 1.4.2+dfsg-8 [2258 kB] 309s Get:74 http://ftpmaster.internal/ubuntu questing/universe arm64 python3-xgboost arm64 2.1.4-1build1 [119 kB] 309s Fetched 85.9 MB in 1min 56s (742 kB/s) 309s Selecting previously unselected package python3-numpy-dev:arm64. 309s (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 ... 85222 files and directories currently installed.) 309s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.3+ds-5_arm64.deb ... 309s Unpacking python3-numpy-dev:arm64 (1:2.2.3+ds-5) ... 309s Selecting previously unselected package libblas3:arm64. 309s Preparing to unpack .../01-libblas3_3.12.1-2_arm64.deb ... 309s Unpacking libblas3:arm64 (3.12.1-2) ... 309s Selecting previously unselected package libgfortran5:arm64. 309s Preparing to unpack .../02-libgfortran5_15-20250404-0ubuntu1_arm64.deb ... 309s Unpacking libgfortran5:arm64 (15-20250404-0ubuntu1) ... 309s Selecting previously unselected package liblapack3:arm64. 309s Preparing to unpack .../03-liblapack3_3.12.1-2_arm64.deb ... 309s Unpacking liblapack3:arm64 (3.12.1-2) ... 310s Selecting previously unselected package python3-numpy. 310s Preparing to unpack .../04-python3-numpy_1%3a2.2.3+ds-5_arm64.deb ... 310s Unpacking python3-numpy (1:2.2.3+ds-5) ... 310s Selecting previously unselected package libtcl8.6:arm64. 310s Preparing to unpack .../05-libtcl8.6_8.6.16+dfsg-1_arm64.deb ... 310s Unpacking libtcl8.6:arm64 (8.6.16+dfsg-1) ... 310s Selecting previously unselected package fonts-dejavu-mono. 310s Preparing to unpack .../06-fonts-dejavu-mono_2.37-8_all.deb ... 310s Unpacking fonts-dejavu-mono (2.37-8) ... 310s Selecting previously unselected package fonts-dejavu-core. 310s Preparing to unpack .../07-fonts-dejavu-core_2.37-8_all.deb ... 310s Unpacking fonts-dejavu-core (2.37-8) ... 310s Selecting previously unselected package fontconfig-config. 310s Preparing to unpack .../08-fontconfig-config_2.15.0-2.2ubuntu1_arm64.deb ... 310s Unpacking fontconfig-config (2.15.0-2.2ubuntu1) ... 310s Selecting previously unselected package libfontconfig1:arm64. 310s Preparing to unpack .../09-libfontconfig1_2.15.0-2.2ubuntu1_arm64.deb ... 310s Unpacking libfontconfig1:arm64 (2.15.0-2.2ubuntu1) ... 310s Selecting previously unselected package libxrender1:arm64. 310s Preparing to unpack .../10-libxrender1_1%3a0.9.10-1.1build1_arm64.deb ... 310s Unpacking libxrender1:arm64 (1:0.9.10-1.1build1) ... 310s Selecting previously unselected package libxft2:arm64. 310s Preparing to unpack .../11-libxft2_2.3.6-1build1_arm64.deb ... 310s Unpacking libxft2:arm64 (2.3.6-1build1) ... 310s Selecting previously unselected package x11-common. 310s Preparing to unpack .../12-x11-common_1%3a7.7+23ubuntu4_all.deb ... 310s Unpacking x11-common (1:7.7+23ubuntu4) ... 310s Selecting previously unselected package libxss1:arm64. 310s Preparing to unpack .../13-libxss1_1%3a1.2.3-1build3_arm64.deb ... 310s Unpacking libxss1:arm64 (1:1.2.3-1build3) ... 310s Selecting previously unselected package libtk8.6:arm64. 310s Preparing to unpack .../14-libtk8.6_8.6.16-1_arm64.deb ... 310s Unpacking libtk8.6:arm64 (8.6.16-1) ... 310s Selecting previously unselected package tk8.6-blt2.5. 310s Preparing to unpack .../15-tk8.6-blt2.5_2.5.3+dfsg-8_arm64.deb ... 310s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-8) ... 310s Selecting previously unselected package blt. 310s Preparing to unpack .../16-blt_2.5.3+dfsg-8_arm64.deb ... 310s Unpacking blt (2.5.3+dfsg-8) ... 310s Selecting previously unselected package fonts-lyx. 310s Preparing to unpack .../17-fonts-lyx_2.4.3-1_all.deb ... 310s Unpacking fonts-lyx (2.4.3-1) ... 310s Selecting previously unselected package libdeflate0:arm64. 310s Preparing to unpack .../18-libdeflate0_1.23-1_arm64.deb ... 310s Unpacking libdeflate0:arm64 (1.23-1) ... 310s Selecting previously unselected package libgomp1:arm64. 310s Preparing to unpack .../19-libgomp1_15-20250404-0ubuntu1_arm64.deb ... 310s Unpacking libgomp1:arm64 (15-20250404-0ubuntu1) ... 310s Selecting previously unselected package libdmlc0t64:arm64. 311s Preparing to unpack .../20-libdmlc0t64_0.5+git20240614.1334185-1_arm64.deb ... 311s Unpacking libdmlc0t64:arm64 (0.5+git20240614.1334185-1) ... 311s Selecting previously unselected package libgraphite2-3:arm64. 311s Preparing to unpack .../21-libgraphite2-3_1.3.14-2ubuntu1_arm64.deb ... 311s Unpacking libgraphite2-3:arm64 (1.3.14-2ubuntu1) ... 311s Selecting previously unselected package libharfbuzz0b:arm64. 311s Preparing to unpack .../22-libharfbuzz0b_10.2.0-1_arm64.deb ... 311s Unpacking libharfbuzz0b:arm64 (10.2.0-1) ... 311s Selecting previously unselected package libimagequant0:arm64. 311s Preparing to unpack .../23-libimagequant0_2.18.0-1build1_arm64.deb ... 311s Unpacking libimagequant0:arm64 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unselected package liblcms2-2:arm64. 311s Preparing to unpack .../29-liblcms2-2_2.16-2_arm64.deb ... 311s Unpacking liblcms2-2:arm64 (2.16-2) ... 311s Selecting previously unselected package liblerc4:arm64. 311s Preparing to unpack .../30-liblerc4_4.0.0+ds-5ubuntu1_arm64.deb ... 311s Unpacking liblerc4:arm64 (4.0.0+ds-5ubuntu1) ... 311s Selecting previously unselected package libqhull-r8.0:arm64. 311s Preparing to unpack .../31-libqhull-r8.0_2020.2-6build1_arm64.deb ... 311s Unpacking libqhull-r8.0:arm64 (2020.2-6build1) ... 311s Selecting previously unselected package libraqm0:arm64. 311s Preparing to unpack .../32-libraqm0_0.10.2-1_arm64.deb ... 311s Unpacking libraqm0:arm64 (0.10.2-1) ... 311s Selecting previously unselected package libsharpyuv0:arm64. 311s Preparing to unpack .../33-libsharpyuv0_1.5.0-0.1_arm64.deb ... 311s Unpacking libsharpyuv0:arm64 (1.5.0-0.1) ... 311s Selecting previously unselected package libjbig0:arm64. 311s Preparing to unpack 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package python3-pil:arm64. 313s Preparing to unpack .../61-python3-pil_11.1.0-5build1_arm64.deb ... 313s Unpacking python3-pil:arm64 (11.1.0-5build1) ... 313s Selecting previously unselected package python3.13-tk. 313s Preparing to unpack .../62-python3.13-tk_3.13.3-1_arm64.deb ... 313s Unpacking python3.13-tk (3.13.3-1) ... 313s Selecting previously unselected package python3-tk:arm64. 313s Preparing to unpack .../63-python3-tk_3.13.3-1_arm64.deb ... 313s Unpacking python3-tk:arm64 (3.13.3-1) ... 313s Selecting previously unselected package python3-pil.imagetk:arm64. 313s Preparing to unpack .../64-python3-pil.imagetk_11.1.0-5build1_arm64.deb ... 313s Unpacking python3-pil.imagetk:arm64 (11.1.0-5build1) ... 313s Selecting previously unselected package python3-matplotlib. 313s Preparing to unpack .../65-python3-matplotlib_3.8.3-7build1_arm64.deb ... 313s Unpacking python3-matplotlib (3.8.3-7build1) ... 313s Selecting previously unselected package python3-pytz. 313s Preparing to unpack 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(1:7.7+23ubuntu4) ... 315s Setting up libdeflate0:arm64 (1.23-1) ... 315s Setting up libqhull-r8.0:arm64 (2020.2-6build1) ... 315s Setting up python3-pytz (2025.1-3) ... 315s Setting up libgomp1:arm64 (15-20250404-0ubuntu1) ... 315s Setting up libjbig0:arm64 (2.1-6.1ubuntu2) ... 315s Setting up python3-platformdirs (4.3.6-1) ... 315s Setting up python3-tz (2025.1-3) ... 315s Setting up python3-fs (2.4.16-7) ... 315s Setting up unicode-data (15.1.0-1) ... 315s Setting up python3-decorator (5.1.1-5) ... 316s Setting up libblas3:arm64 (3.12.1-2) ... 316s 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 316s Setting up python3-brotli (1.1.0-2build4) ... 316s Setting up python3-cycler (0.12.1-1) ... 316s Setting up libimagequant0:arm64 (2.18.0-1build1) ... 316s Setting up fonts-dejavu-mono (2.37-8) ... 316s Setting up python3-kiwisolver (1.4.7-3build1) ... 316s Setting up python3-numpy-dev:arm64 (1:2.2.3+ds-5) ... 316s Setting up libtcl8.6:arm64 (8.6.16+dfsg-1) ... 316s Setting up fonts-dejavu-core (2.37-8) ... 316s Setting up libjpeg-turbo8:arm64 (2.1.5-3ubuntu2) ... 316s Setting up libgfortran5:arm64 (15-20250404-0ubuntu1) ... 316s Setting up libwebp7:arm64 (1.5.0-0.1) ... 316s Setting up libxslt1.1:arm64 (1.1.39-0exp1ubuntu4) ... 316s Setting up libopenjp2-7:arm64 (2.5.3-2) ... 316s Setting up libharfbuzz0b:arm64 (10.2.0-1) ... 316s Setting up libxss1:arm64 (1:1.2.3-1build3) ... 316s Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 316s Setting up python3-mpmath (1.3.0-1) ... 316s Setting up python-matplotlib-data (3.8.3-7build1) ... 316s Setting up libwebpmux3:arm64 (1.5.0-0.1) ... 316s Setting up libjpeg8:arm64 (8c-2ubuntu11) ... 316s Setting up python3-sympy (1.13.3-5) ... 322s Setting up liblapack3:arm64 (3.12.1-2) ... 322s 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 322s Setting up libdmlc0t64:arm64 (0.5+git20240614.1334185-1) ... 322s Setting up fontconfig-config (2.15.0-2.2ubuntu1) ... 322s Setting up libwebpdemux2:arm64 (1.5.0-0.1) ... 322s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... 322s Setting up libraqm0:arm64 (0.10.2-1) ... 322s Setting up python3-numpy (1:2.2.3+ds-5) ... 324s Setting up python3-lxml:arm64 (5.3.2-1) ... 324s Setting up libtiff6:arm64 (4.5.1+git230720-4ubuntu4) ... 324s Setting up libxgboost0 (2.1.4-1build1) ... 324s Setting up python3-contourpy (1.3.1-1build1) ... 324s Setting up libfontconfig1:arm64 (2.15.0-2.2ubuntu1) ... 324s Setting up liblbfgsb0:arm64 (3.0+dfsg.4-1build1) ... 324s Setting up libxft2:arm64 (2.3.6-1build1) ... 324s Setting up python3-scipy (1.14.1-4ubuntu2) ... 327s Setting up libtk8.6:arm64 (8.6.16-1) ... 327s Setting up python3-pandas-lib:arm64 (2.2.3+dfsg-8build1) ... 327s Setting up python3-sklearn-lib:arm64 (1.4.2+dfsg-8) ... 327s Setting up python3.13-tk (3.13.3-1) ... 327s Setting up python3-pil:arm64 (11.1.0-5build1) ... 328s Setting up python3-xgboost (2.1.4-1build1) ... 328s Setting up python3-pandas (2.2.3+dfsg-8build1) ... 332s Setting up libxgboost-dev (2.1.4-1build1) ... 332s Setting up python3-sklearn (1.4.2+dfsg-8) ... 334s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... 334s Setting up blt (2.5.3+dfsg-8) ... 334s Setting up python3-tk:arm64 (3.13.3-1) ... 334s Setting up python3-pil.imagetk:arm64 (11.1.0-5build1) ... 334s Setting up python3-fonttools (4.55.3-2build1) ... 335s Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... 335s Setting up python3-matplotlib (3.8.3-7build1) ... 336s Processing triggers for libc-bin (2.41-6ubuntu1) ... 336s Processing triggers for man-db (2.13.0-1) ... 338s autopkgtest [18:33:46]: test run-demos: [----------------------- 338s ========================================== 338s Running case basic_walkthrough.py... 339s [0] eval-logloss:0.22646 train-logloss:0.23316 339s [1] eval-logloss:0.13776 train-logloss:0.13654 339s error=0.021726 339s ========================================== 339s Running case boost_from_prediction.py... 340s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 340s warnings.warn(msg, FutureWarning) 340s start running example to start from a initial prediction 340s [0] eval-logloss:0.22646 train-logloss:0.23316 340s this is result of running from initial prediction 340s [0] eval-logloss:0.13776 train-logloss:0.13654 340s ========================================== 340s Running case callbacks.py... 342s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [18:33:49] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 342s warnings.warn(smsg, UserWarning) 342s [0] Train-error:0.03052 Train-rmse:0.35870 Valid-error:0.06993 Valid-rmse:0.37215 342s [1] Train-error:0.01174 Train-rmse:0.27804 Valid-error:0.04895 Valid-rmse:0.29761 342s [2] Train-error:0.01174 Train-rmse:0.21911 Valid-error:0.04895 Valid-rmse:0.25064 342s [3] Train-error:0.00939 Train-rmse:0.17913 Valid-error:0.02797 Valid-rmse:0.21447 342s [4] Train-error:0.00939 Train-rmse:0.14893 Valid-error:0.02797 Valid-rmse:0.19740 342s [5] Train-error:0.00939 Train-rmse:0.12816 Valid-error:0.03497 Valid-rmse:0.18098 342s [6] Train-error:0.00704 Train-rmse:0.11060 Valid-error:0.03497 Valid-rmse:0.17131 342s [7] Train-error:0.00704 Train-rmse:0.09947 Valid-error:0.03497 Valid-rmse:0.16077 342s [8] Train-error:0.00469 Train-rmse:0.08816 Valid-error:0.02797 Valid-rmse:0.14865 342s [9] Train-error:0.00469 Train-rmse:0.07863 Valid-error:0.03497 Valid-rmse:0.15073 342s [10] Train-error:0.00469 Train-rmse:0.07164 Valid-error:0.02098 Valid-rmse:0.14161 342s [11] Train-error:0.00469 Train-rmse:0.06692 Valid-error:0.01399 Valid-rmse:0.14028 342s [12] Train-error:0.00235 Train-rmse:0.06216 Valid-error:0.01399 Valid-rmse:0.13727 342s [13] Train-error:0.00235 Train-rmse:0.05811 Valid-error:0.01399 Valid-rmse:0.13495 342s [14] Train-error:0.00000 Train-rmse:0.05532 Valid-error:0.02098 Valid-rmse:0.13500 342s [15] Train-error:0.00000 Train-rmse:0.05178 Valid-error:0.02098 Valid-rmse:0.13226 342s [16] Train-error:0.00000 Train-rmse:0.04924 Valid-error:0.02098 Valid-rmse:0.13329 342s [17] Train-error:0.00000 Train-rmse:0.04656 Valid-error:0.01399 Valid-rmse:0.13183 342s [18] Train-error:0.00000 Train-rmse:0.04437 Valid-error:0.01399 Valid-rmse:0.13353 342s [19] Train-error:0.00000 Train-rmse:0.04272 Valid-error:0.02098 Valid-rmse:0.13468 342s [20] Train-error:0.00000 Train-rmse:0.04030 Valid-error:0.02098 Valid-rmse:0.13419 342s [21] Train-error:0.00000 Train-rmse:0.03869 Valid-error:0.02797 Valid-rmse:0.13543 342s [22] Train-error:0.00000 Train-rmse:0.03548 Valid-error:0.03497 Valid-rmse:0.13316 342s [23] Train-error:0.00000 Train-rmse:0.03444 Valid-error:0.03497 Valid-rmse:0.13637 342s [24] Train-error:0.00000 Train-rmse:0.03369 Valid-error:0.04196 Valid-rmse:0.13663 342s [25] Train-error:0.00000 Train-rmse:0.03213 Valid-error:0.03497 Valid-rmse:0.13386 342s [26] Train-error:0.00000 Train-rmse:0.03100 Valid-error:0.03497 Valid-rmse:0.13180 342s [27] Train-error:0.00000 Train-rmse:0.03036 Valid-error:0.03497 Valid-rmse:0.13263 342s [28] Train-error:0.00000 Train-rmse:0.02957 Valid-error:0.04196 Valid-rmse:0.13493 343s [29] Train-error:0.00000 Train-rmse:0.02866 Valid-error:0.03497 Valid-rmse:0.13487 343s [30] Train-error:0.00000 Train-rmse:0.02851 Valid-error:0.04196 Valid-rmse:0.13384 343s [31] Train-error:0.00000 Train-rmse:0.02721 Valid-error:0.02797 Valid-rmse:0.13117 343s [32] Train-error:0.00000 Train-rmse:0.02615 Valid-error:0.03497 Valid-rmse:0.13188 343s [33] Train-error:0.00000 Train-rmse:0.02559 Valid-error:0.03497 Valid-rmse:0.13096 343s [34] Train-error:0.00000 Train-rmse:0.02520 Valid-error:0.04196 Valid-rmse:0.13283 343s [35] Train-error:0.00000 Train-rmse:0.02438 Valid-error:0.03497 Valid-rmse:0.13220 343s [36] Train-error:0.00000 Train-rmse:0.02356 Valid-error:0.03497 Valid-rmse:0.13030 343s [37] Train-error:0.00000 Train-rmse:0.02348 Valid-error:0.03497 Valid-rmse:0.12942 343s [38] Train-error:0.00000 Train-rmse:0.02337 Valid-error:0.03497 Valid-rmse:0.12955 343s [39] Train-error:0.00000 Train-rmse:0.02265 Valid-error:0.02797 Valid-rmse:0.12785 343s [40] Train-error:0.00000 Train-rmse:0.02283 Valid-error:0.03497 Valid-rmse:0.12889 343s [41] Train-error:0.00000 Train-rmse:0.02255 Valid-error:0.03497 Valid-rmse:0.13066 343s [42] Train-error:0.00000 Train-rmse:0.02190 Valid-error:0.03497 Valid-rmse:0.12905 343s [43] Train-error:0.00000 Train-rmse:0.02173 Valid-error:0.03497 Valid-rmse:0.12833 343s [44] Train-error:0.00000 Train-rmse:0.02180 Valid-error:0.03497 Valid-rmse:0.12884 343s [45] Train-error:0.00000 Train-rmse:0.02153 Valid-error:0.03497 Valid-rmse:0.13050 343s [46] Train-error:0.00000 Train-rmse:0.02149 Valid-error:0.03497 Valid-rmse:0.12927 343s [47] Train-error:0.00000 Train-rmse:0.02134 Valid-error:0.02797 Valid-rmse:0.13012 343s [48] Train-error:0.00000 Train-rmse:0.02119 Valid-error:0.03497 Valid-rmse:0.12936 343s [49] Train-error:0.00000 Train-rmse:0.02124 Valid-error:0.02797 Valid-rmse:0.12989 343s [50] Train-error:0.00000 Train-rmse:0.02116 Valid-error:0.02797 Valid-rmse:0.13014 343s [51] Train-error:0.00000 Train-rmse:0.02107 Valid-error:0.02797 Valid-rmse:0.12953 343s [52] Train-error:0.00000 Train-rmse:0.02121 Valid-error:0.02797 Valid-rmse:0.12976 343s [53] Train-error:0.00000 Train-rmse:0.02080 Valid-error:0.02797 Valid-rmse:0.12903 343s [54] Train-error:0.00000 Train-rmse:0.02060 Valid-error:0.02797 Valid-rmse:0.13032 343s [55] Train-error:0.00000 Train-rmse:0.02069 Valid-error:0.02797 Valid-rmse:0.13027 343s [56] Train-error:0.00000 Train-rmse:0.02039 Valid-error:0.02797 Valid-rmse:0.12900 343s [57] Train-error:0.00000 Train-rmse:0.02031 Valid-error:0.02797 Valid-rmse:0.12845 343s [58] Train-error:0.00000 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Valid-rmse:0.12793 344s [81] Train-error:0.00000 Train-rmse:0.01869 Valid-error:0.02797 Valid-rmse:0.12708 344s [82] Train-error:0.00000 Train-rmse:0.01844 Valid-error:0.02797 Valid-rmse:0.12642 344s [83] Train-error:0.00000 Train-rmse:0.01857 Valid-error:0.02797 Valid-rmse:0.12709 344s [84] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12674 344s [85] Train-error:0.00000 Train-rmse:0.01862 Valid-error:0.02797 Valid-rmse:0.12712 344s [86] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12754 344s [87] Train-error:0.00000 Train-rmse:0.01829 Valid-error:0.02797 Valid-rmse:0.12693 344s [88] Train-error:0.00000 Train-rmse:0.01821 Valid-error:0.02797 Valid-rmse:0.12788 344s [89] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12782 344s [90] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12768 344s [91] Train-error:0.00000 Train-rmse:0.01809 Valid-error:0.02797 Valid-rmse:0.12797 344s [92] Train-error:0.00000 Train-rmse:0.01807 Valid-error:0.02797 Valid-rmse:0.12768 344s [93] Train-error:0.00000 Train-rmse:0.01798 Valid-error:0.02797 Valid-rmse:0.12858 344s [94] Train-error:0.00000 Train-rmse:0.01776 Valid-error:0.02797 Valid-rmse:0.12801 344s [95] Train-error:0.00000 Train-rmse:0.01786 Valid-error:0.02797 Valid-rmse:0.12804 344s [96] Train-error:0.00000 Train-rmse:0.01779 Valid-error:0.02797 Valid-rmse:0.12844 344s [97] Train-error:0.00000 Train-rmse:0.01778 Valid-error:0.02797 Valid-rmse:0.12875 344s [98] Train-error:0.00000 Train-rmse:0.01759 Valid-error:0.02797 Valid-rmse:0.12806 344s [99] Train-error:0.00000 Train-rmse:0.01771 Valid-error:0.02797 Valid-rmse:0.12865 345s ========================================== 345s Skip case cat_in_the_dat.py... 345s ========================================== 345s Running case cat_pipeline.py... 346s ========================================== 346s Running case categorical.py... 347s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [18:33:54] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 347s warnings.warn(smsg, UserWarning) 347s [0] validation_0-rmse:2.94171 347s [1] validation_0-rmse:2.40095 347s [2] validation_0-rmse:1.96121 347s [3] validation_0-rmse:1.61285 347s [4] validation_0-rmse:1.35854 347s [5] validation_0-rmse:1.12286 347s [6] validation_0-rmse:0.96789 347s [7] validation_0-rmse:0.79707 347s [8] validation_0-rmse:0.66201 347s [9] validation_0-rmse:0.55282 347s [10] validation_0-rmse:0.46038 347s [11] validation_0-rmse:0.38278 347s [12] validation_0-rmse:0.32840 347s [13] validation_0-rmse:0.27462 347s [14] validation_0-rmse:0.23398 347s [15] validation_0-rmse:0.19823 347s [16] validation_0-rmse:0.16984 347s [17] validation_0-rmse:0.14636 347s [18] validation_0-rmse:0.12447 347s [19] validation_0-rmse:0.10444 347s [20] validation_0-rmse:0.08984 347s [21] validation_0-rmse:0.07610 347s [22] 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validation_0-rmse:0.00075 347s [78] validation_0-rmse:0.00075 347s [79] validation_0-rmse:0.00075 347s [80] validation_0-rmse:0.00075 347s [81] validation_0-rmse:0.00075 347s [82] validation_0-rmse:0.00075 347s [83] validation_0-rmse:0.00075 347s [84] validation_0-rmse:0.00075 347s [85] validation_0-rmse:0.00075 347s [86] validation_0-rmse:0.00075 347s [87] validation_0-rmse:0.00075 347s [88] validation_0-rmse:0.00075 347s [89] validation_0-rmse:0.00075 347s [90] validation_0-rmse:0.00075 347s [91] validation_0-rmse:0.00075 347s [92] validation_0-rmse:0.00075 347s [93] validation_0-rmse:0.00075 347s [94] validation_0-rmse:0.00075 347s [95] validation_0-rmse:0.00075 347s [96] validation_0-rmse:0.00075 347s [97] validation_0-rmse:0.00075 347s [98] validation_0-rmse:0.00075 347s [99] validation_0-rmse:0.00075 347s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [18:33:54] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 347s warnings.warn(smsg, UserWarning) 347s [0] validation_0-rmse:2.94171 347s [1] validation_0-rmse:2.40095 347s [2] validation_0-rmse:1.96121 347s [3] validation_0-rmse:1.61285 347s [4] validation_0-rmse:1.35854 347s [5] validation_0-rmse:1.12286 347s [6] validation_0-rmse:0.96789 347s [7] validation_0-rmse:0.79707 347s [8] validation_0-rmse:0.66201 347s [9] validation_0-rmse:0.55282 347s [10] validation_0-rmse:0.46038 347s [11] validation_0-rmse:0.38278 347s [12] validation_0-rmse:0.32840 347s [13] validation_0-rmse:0.27462 347s [14] validation_0-rmse:0.23398 347s [15] validation_0-rmse:0.19823 347s [16] validation_0-rmse:0.16984 347s [17] validation_0-rmse:0.14636 347s [18] validation_0-rmse:0.12447 347s [19] validation_0-rmse:0.10444 347s [20] validation_0-rmse:0.08984 347s [21] validation_0-rmse:0.07610 347s [22] validation_0-rmse:0.06622 347s [23] validation_0-rmse:0.05653 347s [24] validation_0-rmse:0.04906 347s [25] validation_0-rmse:0.04173 347s [26] validation_0-rmse:0.03550 347s [27] 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validation_0-logloss:0.00500 348s [83] validation_0-logloss:0.00498 348s [84] validation_0-logloss:0.00496 348s [85] validation_0-logloss:0.00493 348s [86] validation_0-logloss:0.00491 348s [87] validation_0-logloss:0.00489 348s [88] validation_0-logloss:0.00486 348s [89] validation_0-logloss:0.00484 348s [90] validation_0-logloss:0.00482 348s [91] validation_0-logloss:0.00480 348s [92] validation_0-logloss:0.00478 348s [93] validation_0-logloss:0.00476 348s [94] validation_0-logloss:0.00474 348s [95] validation_0-logloss:0.00472 348s [96] validation_0-logloss:0.00470 348s [97] validation_0-logloss:0.00468 348s [98] validation_0-logloss:0.00466 348s [99] validation_0-logloss:0.00464 348s [100] validation_0-logloss:0.00463 348s [101] validation_0-logloss:0.00461 348s [102] validation_0-logloss:0.00459 348s [103] validation_0-logloss:0.00457 348s [104] validation_0-logloss:0.00456 348s [105] validation_0-logloss:0.00454 348s [106] validation_0-logloss:0.00452 348s [107] validation_0-logloss:0.00451 348s [108] validation_0-logloss:0.00449 348s [109] validation_0-logloss:0.00448 348s [110] validation_0-logloss:0.00446 348s [111] validation_0-logloss:0.00444 348s [112] validation_0-logloss:0.00443 348s [113] validation_0-logloss:0.00441 348s [114] validation_0-logloss:0.00440 348s [115] validation_0-logloss:0.00438 348s [116] validation_0-logloss:0.00437 348s [117] validation_0-logloss:0.00435 348s [118] validation_0-logloss:0.00434 348s [119] validation_0-logloss:0.00433 348s [120] validation_0-logloss:0.00431 348s [121] validation_0-logloss:0.00430 348s [122] validation_0-logloss:0.00429 348s [123] validation_0-logloss:0.00427 348s [124] validation_0-logloss:0.00426 348s [125] validation_0-logloss:0.00425 348s [126] validation_0-logloss:0.00423 348s [127] validation_0-logloss:0.00422 348s [128] validation_0-logloss:0.00421 348s [129] validation_0-logloss:0.00420 348s [130] validation_0-logloss:0.00419 348s [131] validation_0-logloss:0.00417 348s [132] validation_0-logloss:0.00416 348s [133] validation_0-logloss:0.00415 348s [134] validation_0-logloss:0.00414 348s [135] validation_0-logloss:0.00413 348s [136] validation_0-logloss:0.00412 348s [137] validation_0-logloss:0.00411 348s [138] validation_0-logloss:0.00410 348s [139] validation_0-logloss:0.00409 348s [140] validation_0-logloss:0.00408 348s [141] validation_0-logloss:0.00407 348s [142] validation_0-logloss:0.00406 348s [143] validation_0-logloss:0.00405 348s [144] validation_0-logloss:0.00404 348s [145] validation_0-logloss:0.00403 348s [146] validation_0-logloss:0.00402 348s [147] validation_0-logloss:0.00401 348s [148] validation_0-logloss:0.00400 348s [149] validation_0-logloss:0.00399 348s [150] validation_0-logloss:0.00398 348s [151] validation_0-logloss:0.00397 348s [152] validation_0-logloss:0.00396 348s [153] validation_0-logloss:0.00396 348s [154] validation_0-logloss:0.00395 348s [155] validation_0-logloss:0.00394 348s [156] validation_0-logloss:0.00393 348s [157] validation_0-logloss:0.00392 348s [158] validation_0-logloss:0.00391 348s [159] validation_0-logloss:0.00391 348s [160] validation_0-logloss:0.00390 348s [161] validation_0-logloss:0.00389 348s [162] validation_0-logloss:0.00388 348s [163] validation_0-logloss:0.00388 348s [164] validation_0-logloss:0.00387 348s [165] validation_0-logloss:0.00386 348s [166] validation_0-logloss:0.00385 348s [167] validation_0-logloss:0.00385 348s [168] validation_0-logloss:0.00384 348s [169] validation_0-logloss:0.00383 348s [170] validation_0-logloss:0.00383 348s [171] validation_0-logloss:0.00382 348s [172] validation_0-logloss:0.00381 348s [173] validation_0-logloss:0.00381 348s [174] validation_0-logloss:0.00380 348s [175] validation_0-logloss:0.00380 348s [176] validation_0-logloss:0.00379 348s [177] validation_0-logloss:0.00379 348s [178] validation_0-logloss:0.00378 348s [179] validation_0-logloss:0.00378 348s [180] validation_0-logloss:0.00377 348s [181] validation_0-logloss:0.00377 348s [182] validation_0-logloss:0.00376 348s [183] validation_0-logloss:0.00376 348s [184] validation_0-logloss:0.00375 348s [185] validation_0-logloss:0.00375 348s [186] validation_0-logloss:0.00374 348s [187] validation_0-logloss:0.00374 348s [188] validation_0-logloss:0.00373 348s [189] validation_0-logloss:0.00373 348s [190] validation_0-logloss:0.00373 348s [191] validation_0-logloss:0.00372 348s [192] validation_0-logloss:0.00372 348s [193] validation_0-logloss:0.00372 348s [194] validation_0-logloss:0.00371 348s [195] validation_0-logloss:0.00371 348s [196] validation_0-logloss:0.00371 348s [197] validation_0-logloss:0.00371 348s [198] validation_0-logloss:0.00371 348s Total boosted rounds: 195 348s [0] validation_0-logloss:0.43281 348s [1] validation_0-logloss:0.30816 348s [2] validation_0-logloss:0.22816 348s [3] validation_0-logloss:0.17470 348s [4] validation_0-logloss:0.13438 348s [5] validation_0-logloss:0.10538 348s [6] validation_0-logloss:0.08467 348s [7] validation_0-logloss:0.06909 348s [8] validation_0-logloss:0.05766 348s [9] validation_0-logloss:0.04842 348s [10] validation_0-logloss:0.04121 348s [11] validation_0-logloss:0.03545 348s [12] validation_0-logloss:0.03077 348s [13] validation_0-logloss:0.02742 348s [14] validation_0-logloss:0.02444 348s [15] validation_0-logloss:0.02208 348s [16] validation_0-logloss:0.01993 348s [17] validation_0-logloss:0.01819 348s [18] validation_0-logloss:0.01676 348s [19] validation_0-logloss:0.01575 348s [20] validation_0-logloss:0.01461 348s [21] validation_0-logloss:0.01383 348s [22] validation_0-logloss:0.01304 348s [23] validation_0-logloss:0.01243 348s [24] validation_0-logloss:0.01179 348s [25] validation_0-logloss:0.01142 348s [26] validation_0-logloss:0.01103 348s [27] validation_0-logloss:0.01066 348s [28] validation_0-logloss:0.01037 348s [29] validation_0-logloss:0.00993 348s [30] validation_0-logloss:0.00966 348s [31] validation_0-logloss:0.00920 348s [32] validation_0-logloss:0.00900 348s [33] validation_0-logloss:0.00876 348s [34] validation_0-logloss:0.00852 348s [35] validation_0-logloss:0.00835 348s [36] validation_0-logloss:0.00810 348s [37] validation_0-logloss:0.00791 348s [38] validation_0-logloss:0.00764 348s [39] validation_0-logloss:0.00753 348s [40] validation_0-logloss:0.00739 348s [41] validation_0-logloss:0.00723 348s [42] validation_0-logloss:0.00706 348s [43] validation_0-logloss:0.00695 348s [44] validation_0-logloss:0.00688 348s [45] validation_0-logloss:0.00671 348s [46] validation_0-logloss:0.00662 348s [47] validation_0-logloss:0.00650 348s [48] validation_0-logloss:0.00637 348s [49] validation_0-logloss:0.00628 348s [50] validation_0-logloss:0.00623 348s [51] validation_0-logloss:0.00618 348s [52] validation_0-logloss:0.00614 348s [53] validation_0-logloss:0.00609 348s [54] validation_0-logloss:0.00600 348s [55] validation_0-logloss:0.00590 348s [56] validation_0-logloss:0.00582 348s [57] validation_0-logloss:0.00578 348s [58] validation_0-logloss:0.00570 348s [59] validation_0-logloss:0.00566 348s [60] validation_0-logloss:0.00563 348s [61] validation_0-logloss:0.00559 348s [62] validation_0-logloss:0.00556 348s [63] validation_0-logloss:0.00553 348s [64] validation_0-logloss:0.00549 348s [65] validation_0-logloss:0.00546 348s [66] validation_0-logloss:0.00543 348s [67] validation_0-logloss:0.00540 348s [68] validation_0-logloss:0.00537 348s [69] validation_0-logloss:0.00534 348s [70] validation_0-logloss:0.00531 348s [71] validation_0-logloss:0.00528 348s [72] validation_0-logloss:0.00525 348s [73] validation_0-logloss:0.00523 348s [74] validation_0-logloss:0.00520 348s [75] validation_0-logloss:0.00517 348s [76] validation_0-logloss:0.00515 348s [77] validation_0-logloss:0.00512 348s [78] validation_0-logloss:0.00510 348s [79] validation_0-logloss:0.00507 348s [80] validation_0-logloss:0.00505 348s [81] validation_0-logloss:0.00502 348s [82] validation_0-logloss:0.00500 348s [83] validation_0-logloss:0.00498 348s [84] validation_0-logloss:0.00496 348s [85] validation_0-logloss:0.00493 348s [86] validation_0-logloss:0.00491 348s [87] validation_0-logloss:0.00489 348s [88] validation_0-logloss:0.00486 348s [89] validation_0-logloss:0.00484 348s [90] validation_0-logloss:0.00482 348s [91] validation_0-logloss:0.00480 348s [92] validation_0-logloss:0.00478 348s [93] validation_0-logloss:0.00476 348s [94] validation_0-logloss:0.00474 348s [95] validation_0-logloss:0.00472 348s [96] validation_0-logloss:0.00470 348s [97] validation_0-logloss:0.00468 348s [98] validation_0-logloss:0.00466 348s [99] validation_0-logloss:0.00464 348s [100] validation_0-logloss:0.00463 348s [101] validation_0-logloss:0.00461 348s [102] validation_0-logloss:0.00459 348s [103] validation_0-logloss:0.00457 348s [104] validation_0-logloss:0.00456 348s [105] validation_0-logloss:0.00454 348s [106] validation_0-logloss:0.00452 348s [107] validation_0-logloss:0.00451 348s [108] validation_0-logloss:0.00449 348s [109] validation_0-logloss:0.00448 348s [110] validation_0-logloss:0.00446 348s [111] validation_0-logloss:0.00444 348s [112] validation_0-logloss:0.00443 348s [113] validation_0-logloss:0.00441 348s [114] validation_0-logloss:0.00440 348s [115] validation_0-logloss:0.00438 348s [116] validation_0-logloss:0.00437 348s [117] validation_0-logloss:0.00435 348s [118] validation_0-logloss:0.00434 348s [119] validation_0-logloss:0.00433 348s [120] validation_0-logloss:0.00431 348s [121] validation_0-logloss:0.00430 348s [122] validation_0-logloss:0.00429 348s [123] validation_0-logloss:0.00427 348s [124] validation_0-logloss:0.00426 348s [125] validation_0-logloss:0.00425 348s [126] validation_0-logloss:0.00423 348s [127] validation_0-logloss:0.00422 348s [0] validation_0-logloss:0.00421 348s [1] validation_0-logloss:0.00420 348s [2] validation_0-logloss:0.00419 348s [3] validation_0-logloss:0.00417 348s [4] validation_0-logloss:0.00416 348s [5] validation_0-logloss:0.00415 348s [6] validation_0-logloss:0.00414 348s [7] validation_0-logloss:0.00413 348s [8] validation_0-logloss:0.00412 348s [9] validation_0-logloss:0.00411 348s [10] validation_0-logloss:0.00410 348s [11] validation_0-logloss:0.00409 348s [12] validation_0-logloss:0.00408 348s [13] validation_0-logloss:0.00407 348s [14] validation_0-logloss:0.00406 348s [15] validation_0-logloss:0.00405 348s [16] validation_0-logloss:0.00404 348s [17] validation_0-logloss:0.00403 348s [18] validation_0-logloss:0.00402 348s [19] validation_0-logloss:0.00401 348s [20] validation_0-logloss:0.00400 348s [21] validation_0-logloss:0.00399 348s [22] validation_0-logloss:0.00398 348s [23] validation_0-logloss:0.00397 348s [24] validation_0-logloss:0.00396 348s [25] validation_0-logloss:0.00396 348s [26] validation_0-logloss:0.00395 348s [27] validation_0-logloss:0.00394 348s [28] validation_0-logloss:0.00393 348s [29] validation_0-logloss:0.00392 348s [30] validation_0-logloss:0.00391 348s [31] validation_0-logloss:0.00391 348s [32] validation_0-logloss:0.00390 348s [33] validation_0-logloss:0.00389 348s [34] validation_0-logloss:0.00388 348s [35] validation_0-logloss:0.00388 348s [36] validation_0-logloss:0.00387 348s [37] validation_0-logloss:0.00386 348s [38] validation_0-logloss:0.00385 348s [39] validation_0-logloss:0.00385 348s [40] validation_0-logloss:0.00384 348s [41] validation_0-logloss:0.00383 348s [42] validation_0-logloss:0.00383 348s [43] validation_0-logloss:0.00382 348s [44] validation_0-logloss:0.00381 348s [45] validation_0-logloss:0.00381 348s [46] validation_0-logloss:0.00380 348s [47] validation_0-logloss:0.00380 348s [48] validation_0-logloss:0.00379 348s [49] validation_0-logloss:0.00379 348s [50] validation_0-logloss:0.00378 348s [51] validation_0-logloss:0.00378 348s [52] validation_0-logloss:0.00377 348s [53] validation_0-logloss:0.00377 348s [54] validation_0-logloss:0.00376 348s [55] validation_0-logloss:0.00376 348s [56] validation_0-logloss:0.00375 348s [57] validation_0-logloss:0.00375 348s [58] validation_0-logloss:0.00374 348s [59] validation_0-logloss:0.00374 348s [60] validation_0-logloss:0.00373 348s [61] validation_0-logloss:0.00373 348s [62] validation_0-logloss:0.00373 348s [63] validation_0-logloss:0.00372 348s [64] validation_0-logloss:0.00372 348s [65] validation_0-logloss:0.00372 348s [66] validation_0-logloss:0.00371 348s [67] validation_0-logloss:0.00371 348s [68] validation_0-logloss:0.00371 348s [69] validation_0-logloss:0.00371 348s [70] validation_0-logloss:0.00371 348s Total boosted rounds: 195 348s [0] validation_0-logloss:0.43281 348s [1] validation_0-logloss:0.30816 348s [2] validation_0-logloss:0.22816 348s [3] validation_0-logloss:0.17470 348s [4] validation_0-logloss:0.13438 348s [5] validation_0-logloss:0.10538 348s [6] validation_0-logloss:0.08467 348s [7] validation_0-logloss:0.06909 348s [8] validation_0-logloss:0.05766 348s [9] validation_0-logloss:0.04842 348s [10] validation_0-logloss:0.04121 348s [11] validation_0-logloss:0.03545 348s [12] validation_0-logloss:0.03077 348s [13] validation_0-logloss:0.02742 348s [14] validation_0-logloss:0.02444 348s [15] validation_0-logloss:0.02208 348s [16] validation_0-logloss:0.01993 348s [17] validation_0-logloss:0.01819 348s [18] validation_0-logloss:0.01676 348s [19] validation_0-logloss:0.01575 348s [20] validation_0-logloss:0.01461 348s [21] validation_0-logloss:0.01383 348s [22] validation_0-logloss:0.01304 348s [23] validation_0-logloss:0.01243 348s [24] validation_0-logloss:0.01179 348s [25] validation_0-logloss:0.01142 348s [26] validation_0-logloss:0.01103 348s [27] validation_0-logloss:0.01066 348s [28] validation_0-logloss:0.01037 348s [29] validation_0-logloss:0.00993 348s [30] validation_0-logloss:0.00966 348s [31] validation_0-logloss:0.00920 348s [32] validation_0-logloss:0.00900 348s [33] validation_0-logloss:0.00876 348s [34] 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validation_0-logloss:0.00566 348s [60] validation_0-logloss:0.00563 348s [61] validation_0-logloss:0.00559 348s [62] validation_0-logloss:0.00556 348s [63] validation_0-logloss:0.00553 348s [64] validation_0-logloss:0.00549 348s [65] validation_0-logloss:0.00546 348s [66] validation_0-logloss:0.00543 348s [67] validation_0-logloss:0.00540 348s [68] validation_0-logloss:0.00537 348s [69] validation_0-logloss:0.00534 348s [70] validation_0-logloss:0.00531 348s [71] validation_0-logloss:0.00528 348s [72] validation_0-logloss:0.00525 348s [73] validation_0-logloss:0.00523 348s [74] validation_0-logloss:0.00520 348s [75] validation_0-logloss:0.00517 348s [76] validation_0-logloss:0.00515 348s [77] validation_0-logloss:0.00512 348s [78] validation_0-logloss:0.00510 348s [79] validation_0-logloss:0.00507 348s [80] validation_0-logloss:0.00505 348s [81] validation_0-logloss:0.00502 348s [82] validation_0-logloss:0.00500 348s [83] validation_0-logloss:0.00498 348s [84] validation_0-logloss:0.00496 348s [85] validation_0-logloss:0.00493 348s [86] validation_0-logloss:0.00491 348s [87] validation_0-logloss:0.00489 348s [88] validation_0-logloss:0.00486 348s [89] validation_0-logloss:0.00484 348s [90] validation_0-logloss:0.00482 348s [91] validation_0-logloss:0.00480 348s [92] validation_0-logloss:0.00478 348s [93] validation_0-logloss:0.00476 348s [94] validation_0-logloss:0.00474 348s [95] validation_0-logloss:0.00472 348s [96] validation_0-logloss:0.00470 348s [97] validation_0-logloss:0.00468 348s [98] validation_0-logloss:0.00466 348s [99] validation_0-logloss:0.00464 348s [100] validation_0-logloss:0.00463 348s [101] validation_0-logloss:0.00461 348s [102] validation_0-logloss:0.00459 348s [103] validation_0-logloss:0.00457 348s [104] validation_0-logloss:0.00456 348s [105] validation_0-logloss:0.00454 348s [106] validation_0-logloss:0.00452 348s [107] validation_0-logloss:0.00451 348s [108] validation_0-logloss:0.00449 348s [109] validation_0-logloss:0.00448 348s [110] validation_0-logloss:0.00446 348s [111] validation_0-logloss:0.00444 348s [112] validation_0-logloss:0.00443 348s [113] validation_0-logloss:0.00441 348s [114] validation_0-logloss:0.00440 348s [115] validation_0-logloss:0.00438 348s [116] validation_0-logloss:0.00437 348s [117] validation_0-logloss:0.00435 348s [118] validation_0-logloss:0.00434 348s [119] validation_0-logloss:0.00433 348s [120] validation_0-logloss:0.00431 348s [121] validation_0-logloss:0.00430 348s [122] validation_0-logloss:0.00429 348s [123] validation_0-logloss:0.00427 348s [124] validation_0-logloss:0.00426 348s [125] validation_0-logloss:0.00425 348s [126] validation_0-logloss:0.00423 348s [127] validation_0-logloss:0.00422 348s [128] validation_0-logloss:0.00421 348s [129] validation_0-logloss:0.00420 348s [130] validation_0-logloss:0.00419 348s [131] validation_0-logloss:0.00417 348s [132] validation_0-logloss:0.00416 348s [133] validation_0-logloss:0.00415 348s [134] 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validation_0-logloss:0.00391 348s [160] validation_0-logloss:0.00390 348s [161] validation_0-logloss:0.00389 348s [162] validation_0-logloss:0.00388 348s [163] validation_0-logloss:0.00388 348s [164] validation_0-logloss:0.00387 348s [165] validation_0-logloss:0.00386 348s [166] validation_0-logloss:0.00385 348s [167] validation_0-logloss:0.00385 348s [168] validation_0-logloss:0.00384 348s [169] validation_0-logloss:0.00383 348s [170] validation_0-logloss:0.00383 348s [171] validation_0-logloss:0.00382 348s [172] validation_0-logloss:0.00381 348s [173] validation_0-logloss:0.00381 348s [174] validation_0-logloss:0.00380 348s [175] validation_0-logloss:0.00380 348s [176] validation_0-logloss:0.00379 348s [177] validation_0-logloss:0.00379 348s [178] validation_0-logloss:0.00378 348s [179] validation_0-logloss:0.00378 348s [180] validation_0-logloss:0.00377 348s [181] validation_0-logloss:0.00377 348s [182] validation_0-logloss:0.00376 348s [183] validation_0-logloss:0.00376 348s [184] validation_0-logloss:0.00375 348s [185] validation_0-logloss:0.00375 348s [186] validation_0-logloss:0.00374 348s [187] validation_0-logloss:0.00374 348s [188] validation_0-logloss:0.00373 348s [189] validation_0-logloss:0.00373 348s [190] validation_0-logloss:0.00373 348s [191] validation_0-logloss:0.00372 348s [192] validation_0-logloss:0.00372 348s [193] validation_0-logloss:0.00372 348s [194] validation_0-logloss:0.00371 348s [195] validation_0-logloss:0.00371 348s [196] validation_0-logloss:0.00371 348s [197] validation_0-logloss:0.00371 348s [198] validation_0-logloss:0.00371 348s [199] validation_0-logloss:0.00371 348s Total boosted rounds: 195 348s [0] validation_0-logloss:0.43281 348s [1] validation_0-logloss:0.30816 348s [2] validation_0-logloss:0.22816 348s [3] validation_0-logloss:0.17470 348s [4] validation_0-logloss:0.13438 348s [5] validation_0-logloss:0.10538 348s [6] validation_0-logloss:0.08467 348s [7] validation_0-logloss:0.06909 348s [8] validation_0-logloss:0.05766 348s [9] validation_0-logloss:0.04842 348s [10] validation_0-logloss:0.04121 348s [11] validation_0-logloss:0.03545 348s [12] validation_0-logloss:0.03077 348s [13] validation_0-logloss:0.02742 348s [14] validation_0-logloss:0.02444 348s [15] validation_0-logloss:0.02208 348s [16] validation_0-logloss:0.01993 348s [17] validation_0-logloss:0.01819 348s [18] validation_0-logloss:0.01676 348s [19] validation_0-logloss:0.01575 348s [20] validation_0-logloss:0.01461 348s [21] validation_0-logloss:0.01383 348s [22] validation_0-logloss:0.01304 348s [23] validation_0-logloss:0.01243 348s [24] validation_0-logloss:0.01179 348s [25] validation_0-logloss:0.01142 348s [26] validation_0-logloss:0.01103 348s [27] validation_0-logloss:0.01066 348s [28] validation_0-logloss:0.01037 348s [29] validation_0-logloss:0.00993 348s [30] validation_0-logloss:0.00966 348s [31] validation_0-logloss:0.00920 348s [32] validation_0-logloss:0.00900 348s [33] 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validation_0-logloss:0.00570 348s [59] validation_0-logloss:0.00566 348s [60] validation_0-logloss:0.00563 348s [61] validation_0-logloss:0.00559 348s [62] validation_0-logloss:0.00556 348s [63] validation_0-logloss:0.00553 348s [64] validation_0-logloss:0.00549 348s [65] validation_0-logloss:0.00546 348s [66] validation_0-logloss:0.00543 348s [67] validation_0-logloss:0.00540 348s [68] validation_0-logloss:0.00537 348s [69] validation_0-logloss:0.00534 348s [70] validation_0-logloss:0.00531 348s [71] validation_0-logloss:0.00528 348s [72] validation_0-logloss:0.00525 348s [73] validation_0-logloss:0.00523 348s [74] validation_0-logloss:0.00520 348s [75] validation_0-logloss:0.00517 348s [76] validation_0-logloss:0.00515 348s [77] validation_0-logloss:0.00512 348s [78] validation_0-logloss:0.00510 348s [79] validation_0-logloss:0.00507 348s [80] validation_0-logloss:0.00505 348s [81] validation_0-logloss:0.00502 348s [82] validation_0-logloss:0.00500 348s [83] validation_0-logloss:0.00498 348s [84] validation_0-logloss:0.00496 348s [85] validation_0-logloss:0.00493 348s [86] validation_0-logloss:0.00491 348s [87] validation_0-logloss:0.00489 348s [88] validation_0-logloss:0.00486 348s [89] validation_0-logloss:0.00484 348s [90] validation_0-logloss:0.00482 348s [91] validation_0-logloss:0.00480 348s [92] validation_0-logloss:0.00478 348s [93] validation_0-logloss:0.00476 348s [94] validation_0-logloss:0.00474 348s [95] validation_0-logloss:0.00472 348s [96] validation_0-logloss:0.00470 348s [97] validation_0-logloss:0.00468 348s [98] validation_0-logloss:0.00466 348s [99] validation_0-logloss:0.00464 348s [100] validation_0-logloss:0.00463 348s [101] validation_0-logloss:0.00461 348s [102] validation_0-logloss:0.00459 348s [103] validation_0-logloss:0.00457 348s [104] validation_0-logloss:0.00456 348s [105] validation_0-logloss:0.00454 348s [106] validation_0-logloss:0.00452 348s [107] validation_0-logloss:0.00451 348s [108] validation_0-logloss:0.00449 348s [109] validation_0-logloss:0.00448 348s [110] validation_0-logloss:0.00446 348s [111] validation_0-logloss:0.00444 348s [112] validation_0-logloss:0.00443 348s [113] validation_0-logloss:0.00441 348s [114] validation_0-logloss:0.00440 348s [115] validation_0-logloss:0.00438 348s [116] validation_0-logloss:0.00437 348s [117] validation_0-logloss:0.00435 348s [118] validation_0-logloss:0.00434 348s [119] validation_0-logloss:0.00433 348s [120] validation_0-logloss:0.00431 348s [121] validation_0-logloss:0.00430 348s [122] validation_0-logloss:0.00429 348s [123] validation_0-logloss:0.00427 348s [124] validation_0-logloss:0.00426 348s [125] validation_0-logloss:0.00425 348s [126] validation_0-logloss:0.00423 348s [127] validation_0-logloss:0.00422 348s [0] validation_0-logloss:0.00421 348s [1] validation_0-logloss:0.00420 348s [2] validation_0-logloss:0.00419 348s [3] validation_0-logloss:0.00417 348s [4] validation_0-logloss:0.00416 348s [5] 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348s [31] validation_0-logloss:0.00391 348s [32] validation_0-logloss:0.00390 348s [33] validation_0-logloss:0.00389 348s [34] validation_0-logloss:0.00388 348s [35] validation_0-logloss:0.00388 348s [36] validation_0-logloss:0.00387 348s [37] validation_0-logloss:0.00386 348s [38] validation_0-logloss:0.00385 348s [39] validation_0-logloss:0.00385 348s [40] validation_0-logloss:0.00384 348s [41] validation_0-logloss:0.00383 348s [42] validation_0-logloss:0.00383 348s [43] validation_0-logloss:0.00382 348s [44] validation_0-logloss:0.00381 348s [45] validation_0-logloss:0.00381 348s [46] validation_0-logloss:0.00380 348s [47] validation_0-logloss:0.00380 348s [48] validation_0-logloss:0.00379 348s [49] validation_0-logloss:0.00379 348s [50] validation_0-logloss:0.00378 348s [51] validation_0-logloss:0.00378 348s [52] validation_0-logloss:0.00377 348s [53] validation_0-logloss:0.00377 348s [54] validation_0-logloss:0.00376 348s [55] validation_0-logloss:0.00376 348s [56] validation_0-logloss:0.00375 348s [57] validation_0-logloss:0.00375 348s [58] validation_0-logloss:0.00374 348s [59] validation_0-logloss:0.00374 348s [60] validation_0-logloss:0.00373 348s [61] validation_0-logloss:0.00373 348s [62] validation_0-logloss:0.00373 348s [63] validation_0-logloss:0.00372 348s [64] validation_0-logloss:0.00372 348s [65] validation_0-logloss:0.00372 348s [66] validation_0-logloss:0.00371 348s [67] validation_0-logloss:0.00371 348s [68] validation_0-logloss:0.00371 348s [69] validation_0-logloss:0.00371 348s [70] validation_0-logloss:0.00371 348s [71] validation_0-logloss:0.00371 348s Total boosted rounds: 195 348s [0] validation_0-logloss:0.43281 348s [1] validation_0-logloss:0.30816 348s [2] validation_0-logloss:0.22816 348s [3] validation_0-logloss:0.17470 348s [4] validation_0-logloss:0.13438 348s [5] validation_0-logloss:0.10538 348s [6] validation_0-logloss:0.08467 348s [7] validation_0-logloss:0.06909 348s [8] validation_0-logloss:0.05766 348s [9] validation_0-logloss:0.04842 348s [10] validation_0-logloss:0.04121 348s [11] validation_0-logloss:0.03545 348s [12] validation_0-logloss:0.03077 348s [13] validation_0-logloss:0.02742 348s [14] validation_0-logloss:0.02444 348s [15] validation_0-logloss:0.02208 348s [16] validation_0-logloss:0.01993 348s [17] validation_0-logloss:0.01819 348s [18] validation_0-logloss:0.01676 348s [19] validation_0-logloss:0.01575 348s [20] validation_0-logloss:0.01461 348s [21] validation_0-logloss:0.01383 348s [22] validation_0-logloss:0.01304 348s [23] validation_0-logloss:0.01243 348s [24] validation_0-logloss:0.01179 348s [25] validation_0-logloss:0.01142 348s [26] validation_0-logloss:0.01103 348s [27] validation_0-logloss:0.01066 348s [28] validation_0-logloss:0.01037 348s [29] validation_0-logloss:0.00993 348s [30] validation_0-logloss:0.00966 348s [31] validation_0-logloss:0.00920 348s [32] validation_0-logloss:0.00900 348s [33] validation_0-logloss:0.00876 348s [34] 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validation_0-logloss:0.00566 348s [60] validation_0-logloss:0.00563 348s [61] validation_0-logloss:0.00559 348s [62] validation_0-logloss:0.00556 348s [63] validation_0-logloss:0.00553 348s [64] validation_0-logloss:0.00549 348s [65] validation_0-logloss:0.00546 348s [66] validation_0-logloss:0.00543 348s [67] validation_0-logloss:0.00540 348s [68] validation_0-logloss:0.00537 348s [69] validation_0-logloss:0.00534 348s [70] validation_0-logloss:0.00531 348s [71] validation_0-logloss:0.00528 348s [72] validation_0-logloss:0.00525 348s [73] validation_0-logloss:0.00523 348s [74] validation_0-logloss:0.00520 348s [75] validation_0-logloss:0.00517 348s [76] validation_0-logloss:0.00515 348s [77] validation_0-logloss:0.00512 348s [78] validation_0-logloss:0.00510 348s [79] validation_0-logloss:0.00507 348s [80] validation_0-logloss:0.00505 348s [81] validation_0-logloss:0.00502 348s [82] validation_0-logloss:0.00500 348s [83] validation_0-logloss:0.00498 348s [84] validation_0-logloss:0.00496 348s [85] validation_0-logloss:0.00493 348s [86] validation_0-logloss:0.00491 348s [87] validation_0-logloss:0.00489 348s [88] validation_0-logloss:0.00486 348s [89] validation_0-logloss:0.00484 348s [90] validation_0-logloss:0.00482 348s [91] validation_0-logloss:0.00480 348s [92] validation_0-logloss:0.00478 348s [93] validation_0-logloss:0.00476 348s [94] validation_0-logloss:0.00474 348s [95] validation_0-logloss:0.00472 348s [96] validation_0-logloss:0.00470 348s [97] validation_0-logloss:0.00468 348s [98] validation_0-logloss:0.00466 348s [99] validation_0-logloss:0.00464 348s [100] validation_0-logloss:0.00463 348s [101] validation_0-logloss:0.00461 348s [102] validation_0-logloss:0.00459 348s [103] validation_0-logloss:0.00457 348s [104] validation_0-logloss:0.00456 348s [105] validation_0-logloss:0.00454 348s [106] validation_0-logloss:0.00452 348s [107] validation_0-logloss:0.00451 348s [108] validation_0-logloss:0.00449 348s [109] validation_0-logloss:0.00448 348s [110] validation_0-logloss:0.00446 348s [111] validation_0-logloss:0.00444 348s [112] validation_0-logloss:0.00443 348s [113] validation_0-logloss:0.00441 348s [114] validation_0-logloss:0.00440 348s [115] validation_0-logloss:0.00438 348s [116] validation_0-logloss:0.00437 348s [117] validation_0-logloss:0.00435 348s [118] validation_0-logloss:0.00434 348s [119] validation_0-logloss:0.00433 348s [120] validation_0-logloss:0.00431 348s [121] validation_0-logloss:0.00430 348s [122] validation_0-logloss:0.00429 348s [123] validation_0-logloss:0.00427 348s [124] validation_0-logloss:0.00426 348s [125] validation_0-logloss:0.00425 348s [126] validation_0-logloss:0.00423 348s [127] validation_0-logloss:0.00422 348s Total boosted rounds: 128 348s [0] validation_0-logloss:0.43281 348s [1] validation_0-logloss:0.30816 348s [2] validation_0-logloss:0.22816 348s [3] validation_0-logloss:0.17470 348s [4] validation_0-logloss:0.13438 348s [5] validation_0-logloss:0.10538 348s [6] validation_0-logloss:0.08467 348s [7] validation_0-logloss:0.06909 348s [8] validation_0-logloss:0.05766 348s [9] validation_0-logloss:0.04842 348s [10] validation_0-logloss:0.04121 348s [11] validation_0-logloss:0.03545 348s [12] validation_0-logloss:0.03077 348s [13] validation_0-logloss:0.02742 348s [14] validation_0-logloss:0.02444 348s [15] validation_0-logloss:0.02208 348s [16] validation_0-logloss:0.01993 348s [17] validation_0-logloss:0.01819 348s [18] validation_0-logloss:0.01676 348s [19] validation_0-logloss:0.01575 348s [20] validation_0-logloss:0.01461 348s [21] validation_0-logloss:0.01383 348s [22] validation_0-logloss:0.01304 348s [23] validation_0-logloss:0.01243 348s [24] validation_0-logloss:0.01179 348s [25] validation_0-logloss:0.01142 348s [26] validation_0-logloss:0.01103 348s [27] validation_0-logloss:0.01066 348s [28] validation_0-logloss:0.01037 348s [29] validation_0-logloss:0.00993 348s [30] validation_0-logloss:0.00966 348s [31] validation_0-logloss:0.00920 348s [0] validation_0-logloss:0.00900 348s [1] validation_0-logloss:0.00876 348s [2] validation_0-logloss:0.00852 348s [3] validation_0-logloss:0.00835 348s [4] validation_0-logloss:0.00810 348s [5] validation_0-logloss:0.00791 348s [6] validation_0-logloss:0.00764 348s [7] validation_0-logloss:0.00753 348s [8] validation_0-logloss:0.00739 348s [9] validation_0-logloss:0.00723 348s [10] validation_0-logloss:0.00706 348s [11] validation_0-logloss:0.00695 348s [12] validation_0-logloss:0.00688 348s [13] validation_0-logloss:0.00671 348s [14] validation_0-logloss:0.00662 348s [15] validation_0-logloss:0.00650 348s [16] validation_0-logloss:0.00637 348s [17] validation_0-logloss:0.00628 348s [18] validation_0-logloss:0.00623 348s [19] validation_0-logloss:0.00618 348s [20] validation_0-logloss:0.00614 348s [21] validation_0-logloss:0.00609 348s [22] validation_0-logloss:0.00600 348s [23] validation_0-logloss:0.00590 348s [24] validation_0-logloss:0.00582 348s [25] validation_0-logloss:0.00578 348s [26] validation_0-logloss:0.00570 348s [27] validation_0-logloss:0.00566 348s [28] validation_0-logloss:0.00563 348s [29] validation_0-logloss:0.00559 348s [30] validation_0-logloss:0.00556 348s [31] validation_0-logloss:0.00553 348s [32] validation_0-logloss:0.00549 348s [33] validation_0-logloss:0.00546 348s [34] validation_0-logloss:0.00543 348s [35] validation_0-logloss:0.00540 348s [36] validation_0-logloss:0.00537 348s [37] validation_0-logloss:0.00534 348s [38] validation_0-logloss:0.00531 348s [39] validation_0-logloss:0.00528 348s [40] validation_0-logloss:0.00525 348s [41] validation_0-logloss:0.00523 348s [42] validation_0-logloss:0.00520 348s [43] validation_0-logloss:0.00517 348s [44] validation_0-logloss:0.00515 348s [45] validation_0-logloss:0.00512 348s [46] validation_0-logloss:0.00510 348s [47] validation_0-logloss:0.00507 348s [48] validation_0-logloss:0.00505 348s [49] validation_0-logloss:0.00502 348s [50] validation_0-logloss:0.00500 348s [51] validation_0-logloss:0.00498 348s [52] validation_0-logloss:0.00496 348s [53] validation_0-logloss:0.00493 348s [54] validation_0-logloss:0.00491 348s [55] validation_0-logloss:0.00489 348s [56] validation_0-logloss:0.00486 348s [57] validation_0-logloss:0.00484 348s [58] validation_0-logloss:0.00482 348s [59] validation_0-logloss:0.00480 348s [60] validation_0-logloss:0.00478 348s [61] validation_0-logloss:0.00476 348s [62] validation_0-logloss:0.00474 348s [63] validation_0-logloss:0.00472 348s [64] validation_0-logloss:0.00470 348s [65] validation_0-logloss:0.00468 348s [66] validation_0-logloss:0.00466 348s [67] validation_0-logloss:0.00464 348s [68] validation_0-logloss:0.00463 348s [69] validation_0-logloss:0.00461 348s [70] validation_0-logloss:0.00459 348s [71] validation_0-logloss:0.00457 348s [72] validation_0-logloss:0.00456 348s [73] validation_0-logloss:0.00454 348s [74] validation_0-logloss:0.00452 348s [75] validation_0-logloss:0.00451 348s [76] validation_0-logloss:0.00449 348s [77] validation_0-logloss:0.00448 348s [78] validation_0-logloss:0.00446 348s [79] validation_0-logloss:0.00444 348s [80] validation_0-logloss:0.00443 348s [81] validation_0-logloss:0.00441 348s [82] validation_0-logloss:0.00440 348s [83] validation_0-logloss:0.00438 348s [84] validation_0-logloss:0.00437 348s [85] validation_0-logloss:0.00435 348s [86] validation_0-logloss:0.00434 348s [87] validation_0-logloss:0.00433 348s [88] validation_0-logloss:0.00431 348s [89] validation_0-logloss:0.00430 348s [90] validation_0-logloss:0.00429 348s [91] validation_0-logloss:0.00427 348s [92] validation_0-logloss:0.00426 348s [93] validation_0-logloss:0.00425 348s [94] validation_0-logloss:0.00423 348s [95] validation_0-logloss:0.00422 348s Total boosted rounds: 128 348s [0] validation_0-logloss:0.43281 348s [1] validation_0-logloss:0.30816 348s [2] validation_0-logloss:0.22816 348s [3] validation_0-logloss:0.17470 348s [4] validation_0-logloss:0.13438 348s [5] validation_0-logloss:0.10538 348s [6] validation_0-logloss:0.08467 348s [7] validation_0-logloss:0.06909 348s [8] validation_0-logloss:0.05766 348s [9] validation_0-logloss:0.04842 348s [10] validation_0-logloss:0.04121 348s [11] validation_0-logloss:0.03545 348s [12] validation_0-logloss:0.03077 348s [13] validation_0-logloss:0.02742 348s [14] validation_0-logloss:0.02444 348s [15] validation_0-logloss:0.02208 348s [16] validation_0-logloss:0.01993 348s [17] validation_0-logloss:0.01819 348s [18] validation_0-logloss:0.01676 348s [19] validation_0-logloss:0.01575 348s [20] validation_0-logloss:0.01461 348s [21] validation_0-logloss:0.01383 348s [22] validation_0-logloss:0.01304 348s [23] validation_0-logloss:0.01243 348s [24] validation_0-logloss:0.01179 348s [25] validation_0-logloss:0.01142 348s [26] validation_0-logloss:0.01103 348s [27] validation_0-logloss:0.01066 348s [28] validation_0-logloss:0.01037 348s [29] validation_0-logloss:0.00993 348s [30] validation_0-logloss:0.00966 348s [31] validation_0-logloss:0.00920 348s [32] validation_0-logloss:0.00900 348s [33] validation_0-logloss:0.00876 348s [34] validation_0-logloss:0.00852 348s [35] validation_0-logloss:0.00835 348s [36] validation_0-logloss:0.00810 348s [37] validation_0-logloss:0.00791 348s [38] validation_0-logloss:0.00764 348s [39] validation_0-logloss:0.00753 348s [40] validation_0-logloss:0.00739 348s [41] validation_0-logloss:0.00723 348s [42] validation_0-logloss:0.00706 348s [43] validation_0-logloss:0.00695 348s [44] validation_0-logloss:0.00688 348s [45] validation_0-logloss:0.00671 348s [46] validation_0-logloss:0.00662 348s [47] validation_0-logloss:0.00650 348s [48] validation_0-logloss:0.00637 348s [49] validation_0-logloss:0.00628 348s [50] validation_0-logloss:0.00623 348s [51] validation_0-logloss:0.00618 348s [52] validation_0-logloss:0.00614 348s [53] validation_0-logloss:0.00609 348s [54] validation_0-logloss:0.00600 348s [55] validation_0-logloss:0.00590 348s [56] validation_0-logloss:0.00582 348s [57] validation_0-logloss:0.00578 348s [58] validation_0-logloss:0.00570 348s [59] validation_0-logloss:0.00566 348s [60] validation_0-logloss:0.00563 348s [61] validation_0-logloss:0.00559 348s [62] validation_0-logloss:0.00556 348s [63] validation_0-logloss:0.00553 348s [64] validation_0-logloss:0.00549 348s [65] validation_0-logloss:0.00546 348s [66] validation_0-logloss:0.00543 348s [67] validation_0-logloss:0.00540 348s [68] validation_0-logloss:0.00537 348s [69] validation_0-logloss:0.00534 348s [70] validation_0-logloss:0.00531 348s [71] validation_0-logloss:0.00528 348s [72] validation_0-logloss:0.00525 348s [73] validation_0-logloss:0.00523 348s [74] validation_0-logloss:0.00520 348s [75] validation_0-logloss:0.00517 348s [76] validation_0-logloss:0.00515 348s [77] validation_0-logloss:0.00512 348s [78] validation_0-logloss:0.00510 348s [79] validation_0-logloss:0.00507 348s [80] validation_0-logloss:0.00505 348s [81] validation_0-logloss:0.00502 348s [82] validation_0-logloss:0.00500 348s [83] validation_0-logloss:0.00498 348s [84] validation_0-logloss:0.00496 348s [85] validation_0-logloss:0.00493 348s [86] validation_0-logloss:0.00491 348s [87] validation_0-logloss:0.00489 348s [88] validation_0-logloss:0.00486 348s [89] validation_0-logloss:0.00484 348s [90] validation_0-logloss:0.00482 348s [91] validation_0-logloss:0.00480 348s [92] validation_0-logloss:0.00478 348s [93] validation_0-logloss:0.00476 348s [94] validation_0-logloss:0.00474 348s [95] validation_0-logloss:0.00472 348s [96] validation_0-logloss:0.00470 348s [97] validation_0-logloss:0.00468 348s [98] validation_0-logloss:0.00466 348s [99] validation_0-logloss:0.00464 348s [100] validation_0-logloss:0.00463 348s [101] validation_0-logloss:0.00461 348s [102] validation_0-logloss:0.00459 348s [103] validation_0-logloss:0.00457 348s [104] validation_0-logloss:0.00456 348s [105] validation_0-logloss:0.00454 348s [106] validation_0-logloss:0.00452 348s [107] validation_0-logloss:0.00451 348s [108] validation_0-logloss:0.00449 348s [109] validation_0-logloss:0.00448 348s [110] validation_0-logloss:0.00446 348s [111] validation_0-logloss:0.00444 348s [112] validation_0-logloss:0.00443 348s [113] validation_0-logloss:0.00441 348s [114] validation_0-logloss:0.00440 348s [115] validation_0-logloss:0.00438 348s [116] validation_0-logloss:0.00437 348s [117] validation_0-logloss:0.00435 348s [118] validation_0-logloss:0.00434 348s [119] validation_0-logloss:0.00433 348s [120] validation_0-logloss:0.00431 348s [121] validation_0-logloss:0.00430 348s [122] validation_0-logloss:0.00429 348s [123] validation_0-logloss:0.00427 348s [124] validation_0-logloss:0.00426 348s [125] validation_0-logloss:0.00425 348s [126] validation_0-logloss:0.00423 348s [127] validation_0-logloss:0.00422 348s Total boosted rounds: 128 348s [0] validation_0-logloss:0.43281 348s [1] validation_0-logloss:0.30816 348s [2] validation_0-logloss:0.22816 348s [3] validation_0-logloss:0.17470 348s [4] validation_0-logloss:0.13438 348s [5] validation_0-logloss:0.10538 348s [6] validation_0-logloss:0.08467 349s [7] validation_0-logloss:0.06909 349s [8] validation_0-logloss:0.05766 349s [9] validation_0-logloss:0.04842 349s [10] validation_0-logloss:0.04121 349s [11] validation_0-logloss:0.03545 349s [12] validation_0-logloss:0.03077 349s [13] validation_0-logloss:0.02742 349s [14] validation_0-logloss:0.02444 349s [15] validation_0-logloss:0.02208 349s [16] validation_0-logloss:0.01993 349s [17] validation_0-logloss:0.01819 349s [18] validation_0-logloss:0.01676 349s [19] validation_0-logloss:0.01575 349s [20] validation_0-logloss:0.01461 349s [21] validation_0-logloss:0.01383 349s [22] validation_0-logloss:0.01304 349s [23] validation_0-logloss:0.01243 349s [24] validation_0-logloss:0.01179 349s [25] validation_0-logloss:0.01142 349s [26] validation_0-logloss:0.01103 349s [27] validation_0-logloss:0.01066 349s [28] validation_0-logloss:0.01037 349s [29] validation_0-logloss:0.00993 349s [30] validation_0-logloss:0.00966 349s [31] validation_0-logloss:0.00920 349s [0] validation_0-logloss:0.00900 349s [1] validation_0-logloss:0.00876 349s [2] validation_0-logloss:0.00852 349s [3] validation_0-logloss:0.00835 349s [4] validation_0-logloss:0.00810 349s [5] validation_0-logloss:0.00791 349s [6] validation_0-logloss:0.00764 349s [7] validation_0-logloss:0.00753 349s [8] validation_0-logloss:0.00739 349s [9] validation_0-logloss:0.00723 349s [10] validation_0-logloss:0.00706 349s [11] validation_0-logloss:0.00695 349s [12] validation_0-logloss:0.00688 349s [13] validation_0-logloss:0.00671 349s [14] validation_0-logloss:0.00662 349s [15] validation_0-logloss:0.00650 349s [16] validation_0-logloss:0.00637 349s [17] validation_0-logloss:0.00628 349s [18] validation_0-logloss:0.00623 349s [19] validation_0-logloss:0.00618 349s [20] validation_0-logloss:0.00614 349s [21] validation_0-logloss:0.00609 349s [22] validation_0-logloss:0.00600 349s [23] validation_0-logloss:0.00590 349s [24] validation_0-logloss:0.00582 349s [25] validation_0-logloss:0.00578 349s [26] validation_0-logloss:0.00570 349s [27] validation_0-logloss:0.00566 349s [28] validation_0-logloss:0.00563 349s [29] validation_0-logloss:0.00559 349s [30] validation_0-logloss:0.00556 349s [31] validation_0-logloss:0.00553 349s [32] validation_0-logloss:0.00549 349s [33] validation_0-logloss:0.00546 349s [34] validation_0-logloss:0.00543 349s [35] validation_0-logloss:0.00540 349s [36] validation_0-logloss:0.00537 349s [37] validation_0-logloss:0.00534 349s [38] validation_0-logloss:0.00531 349s [39] validation_0-logloss:0.00528 349s [40] validation_0-logloss:0.00525 349s [41] validation_0-logloss:0.00523 349s [42] validation_0-logloss:0.00520 349s [43] validation_0-logloss:0.00517 349s [44] validation_0-logloss:0.00515 349s [45] validation_0-logloss:0.00512 349s [46] validation_0-logloss:0.00510 349s [47] validation_0-logloss:0.00507 349s [48] validation_0-logloss:0.00505 349s [49] validation_0-logloss:0.00502 349s [50] validation_0-logloss:0.00500 349s [51] validation_0-logloss:0.00498 349s [52] validation_0-logloss:0.00496 349s [53] validation_0-logloss:0.00493 349s [54] validation_0-logloss:0.00491 349s [55] validation_0-logloss:0.00489 349s [56] validation_0-logloss:0.00486 349s [57] validation_0-logloss:0.00484 349s [58] validation_0-logloss:0.00482 349s [59] validation_0-logloss:0.00480 349s [60] validation_0-logloss:0.00478 349s [61] validation_0-logloss:0.00476 349s [62] validation_0-logloss:0.00474 349s [63] validation_0-logloss:0.00472 349s [64] validation_0-logloss:0.00470 349s [65] validation_0-logloss:0.00468 349s [66] validation_0-logloss:0.00466 349s [67] validation_0-logloss:0.00464 349s [68] validation_0-logloss:0.00463 349s [69] validation_0-logloss:0.00461 349s [70] validation_0-logloss:0.00459 349s [71] validation_0-logloss:0.00457 349s [72] validation_0-logloss:0.00456 349s [73] validation_0-logloss:0.00454 349s [74] validation_0-logloss:0.00452 349s [75] validation_0-logloss:0.00451 349s [76] validation_0-logloss:0.00449 349s [77] validation_0-logloss:0.00448 349s [78] validation_0-logloss:0.00446 349s [79] validation_0-logloss:0.00444 349s [80] validation_0-logloss:0.00443 349s [81] validation_0-logloss:0.00441 349s [82] validation_0-logloss:0.00440 349s [83] validation_0-logloss:0.00438 349s [84] validation_0-logloss:0.00437 349s [85] validation_0-logloss:0.00435 349s [86] validation_0-logloss:0.00434 349s [87] validation_0-logloss:0.00433 349s [88] validation_0-logloss:0.00431 349s [89] validation_0-logloss:0.00430 349s [90] validation_0-logloss:0.00429 349s [91] validation_0-logloss:0.00427 349s [92] validation_0-logloss:0.00426 349s [93] validation_0-logloss:0.00425 349s [94] validation_0-logloss:0.00423 349s [95] validation_0-logloss:0.00422 349s Total boosted rounds: 128 349s ========================================== 349s Running case cross_validation.py... 350s running cross validation 350s [0] train-error:0.05067+0.00920 test-error:0.05573+0.01589 350s [1] train-error:0.02130+0.00206 test-error:0.02119+0.00365 350s running cross validation, disable standard deviation display 350s [0] train-error:0.05067 test-error:0.05573 350s [1] train-error:0.02130 test-error:0.02119 350s [2] train-error:0.00994 test-error:0.00998 350s [3] train-error:0.01413 test-error:0.01443 350s [4] train-error:0.00599 test-error:0.00630 350s [5] train-error:0.00203 test-error:0.00169 350s [6] train-error:0.00123 test-error:0.00123 350s [7] train-error:0.00123 test-error:0.00123 350s [8] train-error:0.00092 test-error:0.00123 350s [9] train-error:0.00061 test-error:0.00123 350s /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`. 350s warnings.warn( 350s train-error-mean train-error-std test-error-mean test-error-std 350s 0 0.050668 0.009201 0.055732 0.015889 350s 1 0.021303 0.002055 0.021188 0.003653 350s 2 0.009942 0.006076 0.009979 0.004828 350s 3 0.014126 0.001706 0.014433 0.003517 350s 4 0.005988 0.001878 0.006295 0.003123 350s 5 0.002034 0.001469 0.001689 0.000574 350s 6 0.001228 0.000260 0.001228 0.001041 350s running cross validation, with preprocessing function 350s running cross validation, with customized loss function 350s ========================================== 350s Running case custom_rmsle.py... 350s /tmp/autopkgtest.x09hLw/build.j3F/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s' 350s :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}` 351s Squared Error 351s [0] dtrain-rmse:682.95908 dtest-rmse:745.95555 351s [1] dtrain-rmse:627.66199 dtest-rmse:751.49583 351s [2] dtrain-rmse:596.74396 dtest-rmse:766.33054 351s [3] dtrain-rmse:555.92371 dtest-rmse:776.92703 351s [4] dtrain-rmse:519.58613 dtest-rmse:789.74145 351s [5] dtrain-rmse:501.26007 dtest-rmse:805.22881 351s [6] dtrain-rmse:453.81757 dtest-rmse:810.70817 351s [7] dtrain-rmse:423.51474 dtest-rmse:822.61798 351s [8] dtrain-rmse:383.34479 dtest-rmse:826.43243 351s [9] dtrain-rmse:371.08179 dtest-rmse:827.23674 351s [10] dtrain-rmse:353.11776 dtest-rmse:828.84174 351s [11] dtrain-rmse:316.42149 dtest-rmse:832.98904 351s [12] dtrain-rmse:300.24359 dtest-rmse:834.90637 351s [13] dtrain-rmse:285.81935 dtest-rmse:836.55001 351s [14] dtrain-rmse:278.47432 dtest-rmse:838.29965 351s [15] dtrain-rmse:266.08310 dtest-rmse:840.16158 351s [16] dtrain-rmse:261.48875 dtest-rmse:841.45332 351s [17] dtrain-rmse:253.15765 dtest-rmse:841.96773 351s [18] dtrain-rmse:246.41335 dtest-rmse:842.26433 351s [19] dtrain-rmse:242.90377 dtest-rmse:843.24280 351s Finished Squared Error in: 0.04773426055908203 351s 351s Squared Log Error 351s [0] dtrain-rmsle:1.31939 dtest-rmsle:1.26056 351s [1] dtrain-rmsle:1.22093 dtest-rmsle:1.16061 351s [2] dtrain-rmsle:1.13670 dtest-rmsle:1.07549 351s [3] dtrain-rmsle:1.06691 dtest-rmsle:1.00568 351s [4] dtrain-rmsle:1.01079 dtest-rmsle:0.95190 351s [5] dtrain-rmsle:0.96709 dtest-rmsle:0.91206 351s [6] dtrain-rmsle:0.93453 dtest-rmsle:0.88458 351s [7] dtrain-rmsle:0.90925 dtest-rmsle:0.86580 351s [8] dtrain-rmsle:0.89139 dtest-rmsle:0.85326 351s [9] dtrain-rmsle:0.87620 dtest-rmsle:0.84621 351s [10] dtrain-rmsle:0.86538 dtest-rmsle:0.84136 351s [11] dtrain-rmsle:0.85715 dtest-rmsle:0.83849 351s [12] dtrain-rmsle:0.84866 dtest-rmsle:0.83767 351s [13] dtrain-rmsle:0.84230 dtest-rmsle:0.83693 351s [14] dtrain-rmsle:0.83639 dtest-rmsle:0.83785 351s [15] dtrain-rmsle:0.83076 dtest-rmsle:0.83853 351s [16] dtrain-rmsle:0.82671 dtest-rmsle:0.83887 351s [17] dtrain-rmsle:0.82297 dtest-rmsle:0.83883 351s [18] dtrain-rmsle:0.81919 dtest-rmsle:0.83945 351s [19] dtrain-rmsle:0.81638 dtest-rmsle:0.83981 351s Finished Squared Log Error in: 0.04091358184814453 351s [0] dtrain-PyRMSLE:1.37154 dtest-PyRMSLE:1.31491 351s [1] dtrain-PyRMSLE:1.26642 dtest-PyRMSLE:1.20792 351s [2] dtrain-PyRMSLE:1.17525 dtest-PyRMSLE:1.11539 351s [3] dtrain-PyRMSLE:1.09848 dtest-PyRMSLE:1.03800 351s [4] dtrain-PyRMSLE:1.03565 dtest-PyRMSLE:0.97673 351s [5] dtrain-PyRMSLE:0.98595 dtest-PyRMSLE:0.93063 351s [6] dtrain-PyRMSLE:0.94774 dtest-PyRMSLE:0.89723 351s [7] dtrain-PyRMSLE:0.91977 dtest-PyRMSLE:0.87448 351s [8] dtrain-PyRMSLE:0.89796 dtest-PyRMSLE:0.85932 351s [9] dtrain-PyRMSLE:0.88141 dtest-PyRMSLE:0.85028 351s [10] dtrain-PyRMSLE:0.86816 dtest-PyRMSLE:0.84450 351s [11] dtrain-PyRMSLE:0.85991 dtest-PyRMSLE:0.84015 351s [12] dtrain-PyRMSLE:0.85120 dtest-PyRMSLE:0.83900 351s [13] dtrain-PyRMSLE:0.84384 dtest-PyRMSLE:0.83775 351s [14] dtrain-PyRMSLE:0.83741 dtest-PyRMSLE:0.83732 351s [15] dtrain-PyRMSLE:0.83253 dtest-PyRMSLE:0.83800 351s [16] dtrain-PyRMSLE:0.82842 dtest-PyRMSLE:0.83827 351s [17] dtrain-PyRMSLE:0.82535 dtest-PyRMSLE:0.83844 351s [18] dtrain-PyRMSLE:0.82169 dtest-PyRMSLE:0.83953 351s [19] dtrain-PyRMSLE:0.81857 dtest-PyRMSLE:0.84046 352s ========================================== 352s Running case custom_softmax.py... 353s /tmp/autopkgtest.x09hLw/build.j3F/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.) 353s grad[r, c] = g 353s [0] train-PyMError:0.14000 353s [1] train-PyMError:0.00000 353s [2] train-PyMError:0.01000 353s [3] train-PyMError:0.00000 353s [4] train-PyMError:0.00000 353s [5] train-PyMError:0.00000 353s [6] train-PyMError:0.00000 353s [7] train-PyMError:0.00000 353s [8] train-PyMError:0.00000 353s [9] train-PyMError:0.00000 353s [0] train-merror:0.14000 353s [1] train-merror:0.00000 353s [2] train-merror:0.01000 353s [3] train-merror:0.00000 353s [4] train-merror:0.00000 353s [5] train-merror:0.00000 353s [6] train-merror:0.00000 353s [7] train-merror:0.00000 353s [8] train-merror:0.00000 353s [9] train-merror:0.00000 353s ========================================== 353s Running case evals_result.py... 354s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 354s warnings.warn(msg, FutureWarning) 354s [0] eval-logloss:0.47977 eval-error:0.04283 train-logloss:0.48196 train-error:0.04652 354s [1] eval-logloss:0.35740 eval-error:0.04283 train-logloss:0.35919 train-error:0.04652 354s Access logloss metric directly from evals_result: 354s [0.4797663698279288, 0.35739665886839306] 354s 354s Access metrics through a loop: 354s - eval 354s - logloss 354s - [0.4797663698279288, 0.35739665886839306] 354s - error 354s - [0.04283054003724395, 0.04283054003724395] 354s - train 354s - logloss 354s - [0.4819583435789261, 0.35919429156594646] 354s - error 354s - [0.04652233993551359, 0.04652233993551359] 354s 354s Access complete dictionary: 354s {'eval': OrderedDict({'logloss': [0.4797663698279288, 0.35739665886839306], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.4819583435789261, 0.35919429156594646], 'error': [0.04652233993551359, 0.04652233993551359]})} 354s ========================================== 354s Running case external_memory.py... 355s [0] Train-rmse:170.67905 355s [1] Train-rmse:166.88130 355s [2] Train-rmse:163.67251 355s [3] Train-rmse:160.83024 355s [4] Train-rmse:158.26351 355s [5] Train-rmse:155.91569 355s [6] Train-rmse:153.74380 355s [7] Train-rmse:151.74583 355s [8] Train-rmse:149.92400 355s [9] Train-rmse:148.14658 355s ========================================== 355s Running case feature_weights.py... 356s [0] d-rmse:1.00430 356s [1] d-rmse:0.99638 356s [2] d-rmse:0.98161 356s [3] d-rmse:0.97086 356s [4] d-rmse:0.96269 356s [5] d-rmse:0.94829 356s [6] d-rmse:0.93914 356s [7] d-rmse:0.93187 356s [8] d-rmse:0.92274 356s [9] d-rmse:0.91749 357s ========================================== 357s Skip case gamma_regression.py... 357s ========================================== 357s Running case generalized_linear_model.py... 358s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 358s warnings.warn(msg, FutureWarning) 358s [0] eval-logloss:0.57138 train-logloss:0.56878 358s [1] eval-logloss:0.53008 train-logloss:0.52646 358s [2] eval-logloss:0.51440 train-logloss:0.51040 358s [3] eval-logloss:0.50817 train-logloss:0.50403 358s error=0.118560 358s ========================================== 358s Running case individual_trees.py... 359s ========================================== 359s Skip case learning_to_rank.py... 359s ========================================== 359s Running case multioutput_regression.py... 360s [0] validation_0-rmse:0.29417 360s [1] validation_0-rmse:0.26360 360s [2] validation_0-rmse:0.23619 360s [3] validation_0-rmse:0.22068 360s [4] validation_0-rmse:0.20681 360s [5] validation_0-rmse:0.19295 360s [6] validation_0-rmse:0.17849 360s [7] validation_0-rmse:0.16562 360s [8] validation_0-rmse:0.15492 360s [9] validation_0-rmse:0.14493 360s [10] validation_0-rmse:0.13892 360s [11] validation_0-rmse:0.13172 360s [12] validation_0-rmse:0.12253 360s [13] validation_0-rmse:0.11744 360s [14] validation_0-rmse:0.10981 360s [15] validation_0-rmse:0.10176 360s [16] validation_0-rmse:0.09476 360s [17] validation_0-rmse:0.08947 360s [18] validation_0-rmse:0.08399 360s [19] validation_0-rmse:0.07952 360s [20] validation_0-rmse:0.07442 360s [21] validation_0-rmse:0.07048 360s [22] validation_0-rmse:0.06749 360s [23] validation_0-rmse:0.06505 360s [24] validation_0-rmse:0.06060 360s [25] validation_0-rmse:0.05737 360s [26] validation_0-rmse:0.05539 360s [27] validation_0-rmse:0.05326 360s [28] validation_0-rmse:0.05026 360s [29] validation_0-rmse:0.04692 360s [30] validation_0-rmse:0.04501 360s [31] validation_0-rmse:0.04175 360s [32] validation_0-rmse:0.03970 360s [33] validation_0-rmse:0.03683 360s [34] validation_0-rmse:0.03430 360s [35] validation_0-rmse:0.03219 360s [36] validation_0-rmse:0.03058 360s [37] validation_0-rmse:0.02914 360s [38] validation_0-rmse:0.02778 360s [39] validation_0-rmse:0.02611 360s [40] validation_0-rmse:0.02504 360s [41] validation_0-rmse:0.02322 360s [42] validation_0-rmse:0.02212 360s [43] validation_0-rmse:0.02129 360s [44] validation_0-rmse:0.01992 360s [45] validation_0-rmse:0.01930 360s [46] validation_0-rmse:0.01864 360s [47] validation_0-rmse:0.01744 360s [48] validation_0-rmse:0.01618 360s [49] validation_0-rmse:0.01521 360s [50] validation_0-rmse:0.01428 360s [51] validation_0-rmse:0.01346 360s [52] validation_0-rmse:0.01276 360s [53] validation_0-rmse:0.01209 360s [54] validation_0-rmse:0.01154 360s [55] validation_0-rmse:0.01094 360s [56] validation_0-rmse:0.01023 360s [57] validation_0-rmse:0.00979 360s [58] validation_0-rmse:0.00934 360s [59] validation_0-rmse:0.00879 360s [60] validation_0-rmse:0.00845 360s [61] validation_0-rmse:0.00822 360s [62] validation_0-rmse:0.00790 360s [63] validation_0-rmse:0.00742 360s [64] validation_0-rmse:0.00711 360s [65] validation_0-rmse:0.00682 360s [66] validation_0-rmse:0.00644 360s [67] validation_0-rmse:0.00615 360s [68] validation_0-rmse:0.00577 360s [69] validation_0-rmse:0.00553 360s [70] validation_0-rmse:0.00514 360s [71] validation_0-rmse:0.00493 360s [72] 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validation_0-rmse:0.00093 360s [110] validation_0-rmse:0.00091 360s [111] validation_0-rmse:0.00087 360s [112] validation_0-rmse:0.00086 360s [113] validation_0-rmse:0.00084 360s [114] validation_0-rmse:0.00084 360s [115] validation_0-rmse:0.00083 360s [116] validation_0-rmse:0.00083 360s [117] validation_0-rmse:0.00082 360s [118] validation_0-rmse:0.00082 360s [119] validation_0-rmse:0.00081 360s [120] validation_0-rmse:0.00080 360s [121] validation_0-rmse:0.00079 360s [122] validation_0-rmse:0.00079 360s [123] validation_0-rmse:0.00078 360s [124] validation_0-rmse:0.00078 360s [125] validation_0-rmse:0.00077 360s [126] validation_0-rmse:0.00077 360s [127] validation_0-rmse:0.00076 360s [0] Train-rmse:0.28597 Train-PyRMSE:4.04424 360s [1] Train-rmse:0.25494 Train-PyRMSE:3.60534 360s [2] Train-rmse:0.23359 Train-PyRMSE:3.30341 360s [3] Train-rmse:0.21640 Train-PyRMSE:3.06038 360s [4] Train-rmse:0.20574 Train-PyRMSE:2.90962 360s [5] Train-rmse:0.19311 Train-PyRMSE:2.73098 360s [6] 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Train-PyRMSE:0.14109 361s [98] Train-rmse:0.00954 Train-PyRMSE:0.13496 361s [99] Train-rmse:0.00948 Train-PyRMSE:0.13406 361s [100] Train-rmse:0.00926 Train-PyRMSE:0.13098 361s [101] Train-rmse:0.00901 Train-PyRMSE:0.12747 361s [102] Train-rmse:0.00885 Train-PyRMSE:0.12510 361s [103] Train-rmse:0.00847 Train-PyRMSE:0.11979 361s [104] Train-rmse:0.00833 Train-PyRMSE:0.11784 361s [105] Train-rmse:0.00791 Train-PyRMSE:0.11187 361s [106] Train-rmse:0.00787 Train-PyRMSE:0.11125 361s [107] Train-rmse:0.00755 Train-PyRMSE:0.10682 361s [108] Train-rmse:0.00724 Train-PyRMSE:0.10245 361s [109] Train-rmse:0.00705 Train-PyRMSE:0.09976 361s [110] Train-rmse:0.00683 Train-PyRMSE:0.09662 361s [111] Train-rmse:0.00656 Train-PyRMSE:0.09274 361s [112] Train-rmse:0.00641 Train-PyRMSE:0.09058 361s [113] Train-rmse:0.00631 Train-PyRMSE:0.08921 361s [114] Train-rmse:0.00606 Train-PyRMSE:0.08569 361s [115] Train-rmse:0.00583 Train-PyRMSE:0.08241 361s [116] Train-rmse:0.00578 Train-PyRMSE:0.08175 361s [117] Train-rmse:0.00562 Train-PyRMSE:0.07946 361s [118] Train-rmse:0.00553 Train-PyRMSE:0.07818 361s [119] Train-rmse:0.00533 Train-PyRMSE:0.07539 361s [120] Train-rmse:0.00514 Train-PyRMSE:0.07262 361s [121] Train-rmse:0.00510 Train-PyRMSE:0.07211 361s [122] Train-rmse:0.00501 Train-PyRMSE:0.07088 361s [123] Train-rmse:0.00489 Train-PyRMSE:0.06912 361s [124] Train-rmse:0.00475 Train-PyRMSE:0.06722 361s [125] Train-rmse:0.00473 Train-PyRMSE:0.06690 361s [126] Train-rmse:0.00467 Train-PyRMSE:0.06603 361s [127] Train-rmse:0.00443 Train-PyRMSE:0.06259 361s ========================================== 361s Running case predict_first_ntree.py... 362s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 362s warnings.warn(msg, FutureWarning) 362s [0] eval-logloss:0.22646 train-logloss:0.23316 362s [1] eval-logloss:0.13776 train-logloss:0.13654 362s [2] eval-logloss:0.08036 train-logloss:0.08243 362s start testing prediction from first n trees 362s error of ypred1=0.042831 362s error of ypred2=0.006207 362s [0] validation_0-logloss:0.22646 362s [1] validation_0-logloss:0.13776 362s [2] validation_0-logloss:0.08036 362s start testing prediction from first n trees 362s error of ypred1=0.042831 362s error of ypred2=0.006207 362s ========================================== 362s Running case predict_leaf_indices.py... 363s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 363s warnings.warn(msg, FutureWarning) 363s [0] eval-logloss:0.22646 train-logloss:0.23316 363s [1] eval-logloss:0.13776 train-logloss:0.13654 363s [2] eval-logloss:0.08036 train-logloss:0.08243 363s start testing predict the leaf indices 363s (1611, 2, 1, 1) 363s [[[[5.]] 363s 363s [[4.]]] 363s 363s 363s [[[6.]] 363s 363s [[4.]]] 363s 363s 363s [[[5.]] 363s 363s [[4.]]] 363s 363s 363s ... 363s 363s 363s [[[6.]] 363s 363s [[4.]]] 363s 363s 363s [[[4.]] 363s 363s [[3.]]] 363s 363s 363s [[[6.]] 363s 363s [[4.]]]] 363s (1611, 3) 363s ========================================== 363s Skip case quantile_data_iterator.py... 363s ========================================== 363s Running case quantile_regression.py... 364s [0] Train-quantile:1.50159 Test-quantile:1.45489 364s [1] Train-quantile:1.41395 Test-quantile:1.36960 364s [2] Train-quantile:1.33178 Test-quantile:1.28702 364s [3] Train-quantile:1.25429 Test-quantile:1.21133 364s [4] Train-quantile:1.18373 Test-quantile:1.13959 364s [5] Train-quantile:1.11898 Test-quantile:1.07261 364s [6] Train-quantile:1.05770 Test-quantile:1.01264 364s [7] Train-quantile:1.00142 Test-quantile:0.96139 364s [8] Train-quantile:0.94844 Test-quantile:0.91339 364s [9] Train-quantile:0.89917 Test-quantile:0.86934 364s [10] Train-quantile:0.85692 Test-quantile:0.82830 364s [11] Train-quantile:0.81823 Test-quantile:0.79270 364s [12] Train-quantile:0.78400 Test-quantile:0.75817 364s [13] Train-quantile:0.75333 Test-quantile:0.72983 364s [14] Train-quantile:0.72555 Test-quantile:0.70335 364s [15] Train-quantile:0.69885 Test-quantile:0.67960 364s [16] Train-quantile:0.67482 Test-quantile:0.65947 364s [17] Train-quantile:0.65359 Test-quantile:0.64055 364s [18] Train-quantile:0.63363 Test-quantile:0.62346 364s [19] Train-quantile:0.61495 Test-quantile:0.60855 364s [20] Train-quantile:0.59783 Test-quantile:0.59489 364s [21] Train-quantile:0.58197 Test-quantile:0.58130 364s [22] Train-quantile:0.56682 Test-quantile:0.56949 364s [23] Train-quantile:0.55237 Test-quantile:0.55744 364s [24] Train-quantile:0.53809 Test-quantile:0.54622 364s [25] Train-quantile:0.52441 Test-quantile:0.53571 364s [26] Train-quantile:0.51174 Test-quantile:0.52520 364s [27] Train-quantile:0.49974 Test-quantile:0.51546 364s [28] Train-quantile:0.48865 Test-quantile:0.50628 364s [29] Train-quantile:0.47833 Test-quantile:0.49784 364s [30] Train-quantile:0.46895 Test-quantile:0.48966 364s [31] Train-quantile:0.45900 Test-quantile:0.48302 364s [0] Train-rmse:4.32523 Test-rmse:4.63143 364s [1] Train-rmse:4.21367 Test-rmse:4.53399 364s [2] Train-rmse:4.10813 Test-rmse:4.44222 364s [3] Train-rmse:4.00795 Test-rmse:4.35559 364s [4] Train-rmse:3.91314 Test-rmse:4.27507 364s [5] Train-rmse:3.82342 Test-rmse:4.19994 364s [6] Train-rmse:3.73860 Test-rmse:4.12864 364s [7] Train-rmse:3.65855 Test-rmse:4.06333 364s [8] Train-rmse:3.58302 Test-rmse:3.99920 364s [9] Train-rmse:3.51166 Test-rmse:3.94100 364s [10] Train-rmse:3.44443 Test-rmse:3.88581 364s [11] Train-rmse:3.38085 Test-rmse:3.83491 364s [12] Train-rmse:3.32121 Test-rmse:3.78659 364s [13] Train-rmse:3.26491 Test-rmse:3.74137 364s [14] Train-rmse:3.21217 Test-rmse:3.69918 364s [15] Train-rmse:3.16233 Test-rmse:3.66047 364s [16] Train-rmse:3.11625 Test-rmse:3.62292 364s [17] Train-rmse:3.07250 Test-rmse:3.58980 364s [18] Train-rmse:3.03120 Test-rmse:3.55971 364s [19] Train-rmse:2.99260 Test-rmse:3.53039 364s [20] Train-rmse:2.95471 Test-rmse:3.50273 364s [21] Train-rmse:2.92082 Test-rmse:3.47765 364s [22] Train-rmse:2.88707 Test-rmse:3.45409 364s [23] Train-rmse:2.85719 Test-rmse:3.43196 364s [24] Train-rmse:2.82955 Test-rmse:3.41116 364s [25] Train-rmse:2.80145 Test-rmse:3.39262 364s [26] Train-rmse:2.77526 Test-rmse:3.37544 364s [27] Train-rmse:2.75237 Test-rmse:3.35703 364s [28] Train-rmse:2.73071 Test-rmse:3.34065 364s [29] Train-rmse:2.70895 Test-rmse:3.32714 364s [30] Train-rmse:2.69007 Test-rmse:3.31295 364s [31] Train-rmse:2.67125 Test-rmse:3.30119 364s ========================================== 364s Running case sklearn_evals_result.py... 365s [0] validation_0-logloss:0.63169 validation_1-logloss:0.65974 365s [1] validation_0-logloss:0.58449 validation_1-logloss:0.62161 365s Access logloss metric directly from validation_0: 365s [0.6316909282654524, 0.5844871088303626] 365s 365s Access metrics through a loop: 365s - validation_0 365s - logloss 365s - [0.6316909282654524, 0.5844871088303626] 365s - validation_1 365s - logloss 365s - [0.6597448766976595, 0.6216080508381129] 365s 365s Access complete dict: 365s {'validation_0': OrderedDict({'logloss': [0.6316909282654524, 0.5844871088303626]}), 'validation_1': OrderedDict({'logloss': [0.6597448766976595, 0.6216080508381129]})} 365s ========================================== 365s Running case sklearn_examples.py... 368s Zeros and Ones from the Digits dataset: binary classification 368s [[87 0] 368s [ 1 92]] 368s [[91 0] 368s [ 3 86]] 368s Iris: multiclass classification 368s [[19 0 0] 368s [ 1 31 2] 368s [ 0 3 19]] 368s [[31 0 0] 368s [ 0 16 0] 368s [ 0 1 27]] 368s California Housing: regression 368s 0.2310805601814026 368s 0.23533764411819863 368s Parameter optimization 368s Fitting 3 folds for each of 4 candidates, totalling 12 fits 368s 0.6838972456687431 368s {'max_depth': 4, 'n_estimators': 100} 368s Pickling sklearn API models 368s True 368s [0] validation_0-auc:0.99020 368s [1] validation_0-auc:0.99975 368s [2] validation_0-auc:0.99975 368s [3] validation_0-auc:0.99975 368s [4] validation_0-auc:0.99975 368s [5] validation_0-auc:0.99975 368s [6] validation_0-auc:1.00000 368s [7] validation_0-auc:1.00000 368s [8] validation_0-auc:1.00000 368s [9] validation_0-auc:1.00000 368s [10] validation_0-auc:1.00000 368s [11] validation_0-auc:1.00000 368s [12] validation_0-auc:1.00000 368s [13] validation_0-auc:1.00000 368s [14] validation_0-auc:1.00000 368s [15] validation_0-auc:1.00000 369s ========================================== 369s Running case sklearn_parallel.py... 370s Parallel Parameter optimization 370s Fitting 5 folds for each of 9 candidates, totalling 45 fits 375s 0.688555675183378 375s {'max_depth': 4, 'n_estimators': 50} 375s Exception ignored in: 375s Traceback (most recent call last): 375s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 375s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 375s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 375s ChildProcessError: [Errno 10] No child processes 375s Exception ignored in: 375s Traceback (most recent call last): 375s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 375s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 375s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 375s ChildProcessError: [Errno 10] No child processes 376s ========================================== 376s Skip case spark_estimator_examples.py... 376s ========================================== 376s Skip case update_process.py... 376s ========================================== 376s All cases passed. 376s /tmp/autopkgtest.x09hLw/wrapper.sh: Killing leaked background processes: 9037 376s PID TTY STAT TIME COMMAND 376s 9037 ? R 0:00 /usr/bin/python3 -c from joblib.externals.loky.backend.resource_tracker import main; main(3, False) 376s autopkgtest [18:34:24]: test run-demos: -----------------------] 376s autopkgtest [18:34:24]: test run-demos: - - - - - - - - - - results - - - - - - - - - - 376s run-demos PASS 377s autopkgtest [18:34:25]: @@@@@@@@@@@@@@@@@@@@ summary 377s run-demos PASS 380s nova [W] Using flock in prodstack7-arm64 380s Creating nova instance adt-questing-arm64-xgboost-20250501-182808-juju-7f2275-prod-proposed-migration-environment-21-61a38d00-4221-4ea5-83e3-1f899af6fac0 from image adt/ubuntu-questing-arm64-server-20250501.img (UUID 137c3127-57d2-4bf2-a106-d904ad6e43f4)... 380s nova [W] Timed out waiting for 50909965-9f65-4ff8-a363-f3af899fc505 to get deleted.