0s autopkgtest [01:27:27]: starting date and time: 2025-03-16 01:27:27+0000 0s autopkgtest [01:27:27]: git checkout: 325255d2 Merge branch 'pin-any-arch' into 'ubuntu/production' 0s autopkgtest [01:27:27]: host juju-7f2275-prod-proposed-migration-environment-2; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.4713xjz1/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:scikit-learn --apt-upgrade xgboost --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=scikit-learn/1.4.2+dfsg-8 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-2@bos03-arm64-34.secgroup --name adt-plucky-arm64-xgboost-20250316-012726-juju-7f2275-prod-proposed-migration-environment-2-b6ad1b1e-b4bc-4837-a956-9dd053d1eba8 --image adt/ubuntu-plucky-arm64-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-2 --net-id=net_prod-proposed-migration -e TERM=linux -e ''"'"'http_proxy=http://squid.internal:3128'"'"'' -e ''"'"'https_proxy=http://squid.internal:3128'"'"'' -e ''"'"'no_proxy=127.0.0.1,127.0.1.1,login.ubuntu.com,localhost,localdomain,novalocal,internal,archive.ubuntu.com,ports.ubuntu.com,security.ubuntu.com,ddebs.ubuntu.com,changelogs.ubuntu.com,keyserver.ubuntu.com,launchpadlibrarian.net,launchpadcontent.net,launchpad.net,10.24.0.0/24,keystone.ps5.canonical.com,objectstorage.prodstack5.canonical.com,radosgw.ps5.canonical.com'"'"'' --mirror=http://ftpmaster.internal/ubuntu/ 156s autopkgtest [01:30:03]: testbed dpkg architecture: arm64 156s autopkgtest [01:30:03]: testbed apt version: 2.9.33 156s autopkgtest [01:30:03]: @@@@@@@@@@@@@@@@@@@@ test bed setup 157s autopkgtest [01:30:04]: testbed release detected to be: None 157s autopkgtest [01:30:04]: updating testbed package index (apt update) 158s Get:1 http://ftpmaster.internal/ubuntu plucky-proposed InRelease [126 kB] 158s Hit:2 http://ftpmaster.internal/ubuntu plucky InRelease 158s Hit:3 http://ftpmaster.internal/ubuntu plucky-updates InRelease 158s Hit:4 http://ftpmaster.internal/ubuntu plucky-security InRelease 158s Get:5 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse Sources [17.7 kB] 158s Get:6 http://ftpmaster.internal/ubuntu plucky-proposed/universe Sources [365 kB] 159s Get:7 http://ftpmaster.internal/ubuntu plucky-proposed/main Sources [41.4 kB] 159s Get:8 http://ftpmaster.internal/ubuntu plucky-proposed/main arm64 Packages [72.2 kB] 159s Get:9 http://ftpmaster.internal/ubuntu plucky-proposed/main arm64 c-n-f Metadata [1816 B] 159s Get:10 http://ftpmaster.internal/ubuntu plucky-proposed/restricted arm64 c-n-f Metadata [116 B] 159s Get:11 http://ftpmaster.internal/ubuntu plucky-proposed/universe arm64 Packages [316 kB] 159s Get:12 http://ftpmaster.internal/ubuntu plucky-proposed/universe arm64 c-n-f Metadata [13.9 kB] 159s Get:13 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse arm64 Packages [16.8 kB] 159s Get:14 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse arm64 c-n-f Metadata [268 B] 160s Fetched 972 kB in 2s (590 kB/s) 160s Reading package lists... 161s Reading package lists... 161s Building dependency tree... 161s Reading state information... 162s Calculating upgrade... 162s Calculating upgrade... 163s The following packages will be upgraded: 163s pinentry-curses python3-jinja2 strace 163s 3 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 163s Need to get 647 kB of archives. 163s After this operation, 11.3 kB of additional disk space will be used. 163s Get:1 http://ftpmaster.internal/ubuntu plucky/main arm64 strace arm64 6.13+ds-1ubuntu1 [499 kB] 164s Get:2 http://ftpmaster.internal/ubuntu plucky/main arm64 pinentry-curses arm64 1.3.1-2ubuntu3 [39.2 kB] 164s Get:3 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-jinja2 all 3.1.5-2ubuntu1 [109 kB] 164s Fetched 647 kB in 1s (567 kB/s) 165s (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 ... 117701 files and directories currently installed.) 165s Preparing to unpack .../strace_6.13+ds-1ubuntu1_arm64.deb ... 165s Unpacking strace (6.13+ds-1ubuntu1) over (6.11-0ubuntu1) ... 165s Preparing to unpack .../pinentry-curses_1.3.1-2ubuntu3_arm64.deb ... 165s Unpacking pinentry-curses (1.3.1-2ubuntu3) over (1.3.1-2ubuntu2) ... 165s Preparing to unpack .../python3-jinja2_3.1.5-2ubuntu1_all.deb ... 165s Unpacking python3-jinja2 (3.1.5-2ubuntu1) over (3.1.5-2) ... 165s Setting up pinentry-curses (1.3.1-2ubuntu3) ... 165s Setting up python3-jinja2 (3.1.5-2ubuntu1) ... 165s Setting up strace (6.13+ds-1ubuntu1) ... 165s Processing triggers for man-db (2.13.0-1) ... 166s Reading package lists... 166s Building dependency tree... 166s Reading state information... 166s Solving dependencies... 167s The following packages will be REMOVED: 167s libnsl2* libpython3.12-minimal* libpython3.12-stdlib* libpython3.12t64* 167s libunwind8* linux-headers-6.11.0-8* linux-headers-6.11.0-8-generic* 167s linux-image-6.11.0-8-generic* linux-modules-6.11.0-8-generic* 167s linux-tools-6.11.0-8* linux-tools-6.11.0-8-generic* 167s 0 upgraded, 0 newly installed, 11 to remove and 0 not upgraded. 167s After this operation, 267 MB disk space will be freed. 167s (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 ... 117701 files and directories currently installed.) 167s Removing linux-tools-6.11.0-8-generic (6.11.0-8.8) ... 167s Removing linux-tools-6.11.0-8 (6.11.0-8.8) ... 167s Removing libpython3.12t64:arm64 (3.12.9-1) ... 167s Removing libpython3.12-stdlib:arm64 (3.12.9-1) ... 167s Removing libnsl2:arm64 (1.3.0-3build3) ... 167s Removing libpython3.12-minimal:arm64 (3.12.9-1) ... 167s Removing libunwind8:arm64 (1.6.2-3.1) ... 167s Removing linux-headers-6.11.0-8-generic (6.11.0-8.8) ... 168s Removing linux-headers-6.11.0-8 (6.11.0-8.8) ... 170s Removing linux-image-6.11.0-8-generic (6.11.0-8.8) ... 170s I: /boot/vmlinuz.old is now a symlink to vmlinuz-6.14.0-10-generic 170s I: /boot/initrd.img.old is now a symlink to initrd.img-6.14.0-10-generic 170s /etc/kernel/postrm.d/initramfs-tools: 170s update-initramfs: Deleting /boot/initrd.img-6.11.0-8-generic 170s /etc/kernel/postrm.d/zz-flash-kernel: 170s flash-kernel: Kernel 6.11.0-8-generic has been removed. 170s flash-kernel: A higher version (6.14.0-10-generic) is still installed, no reflashing required. 170s /etc/kernel/postrm.d/zz-update-grub: 170s Sourcing file `/etc/default/grub' 170s Sourcing file `/etc/default/grub.d/50-cloudimg-settings.cfg' 170s Generating grub configuration file ... 170s Found linux image: /boot/vmlinuz-6.14.0-10-generic 170s Found initrd image: /boot/initrd.img-6.14.0-10-generic 171s Warning: os-prober will not be executed to detect other bootable partitions. 171s Systems on them will not be added to the GRUB boot configuration. 171s Check GRUB_DISABLE_OS_PROBER documentation entry. 171s Adding boot menu entry for UEFI Firmware Settings ... 171s done 171s Removing linux-modules-6.11.0-8-generic (6.11.0-8.8) ... 171s Processing triggers for libc-bin (2.41-1ubuntu1) ... 171s (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 ... 81650 files and directories currently installed.) 171s Purging configuration files for linux-image-6.11.0-8-generic (6.11.0-8.8) ... 171s Purging configuration files for libpython3.12-minimal:arm64 (3.12.9-1) ... 171s Purging configuration files for linux-modules-6.11.0-8-generic (6.11.0-8.8) ... 171s autopkgtest [01:30:18]: upgrading testbed (apt dist-upgrade and autopurge) 172s Reading package lists... 172s Building dependency tree... 172s Reading state information... 172s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 172s Starting 2 pkgProblemResolver with broken count: 0 172s Done 173s Entering ResolveByKeep 173s 174s Calculating upgrade... 174s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 174s Reading package lists... 175s Building dependency tree... 175s Reading state information... 175s Starting pkgProblemResolver with broken count: 0 175s Starting 2 pkgProblemResolver with broken count: 0 175s Done 175s Solving dependencies... 176s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 176s autopkgtest [01:30:23]: rebooting testbed after setup commands that affected boot 199s autopkgtest [01:30:46]: testbed running kernel: Linux 6.14.0-10-generic #10-Ubuntu SMP PREEMPT_DYNAMIC Wed Mar 12 15:45:31 UTC 2025 202s autopkgtest [01:30:49]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost 208s Get:1 http://ftpmaster.internal/ubuntu plucky/universe xgboost 2.1.4-1build1 (dsc) [2340 B] 208s Get:2 http://ftpmaster.internal/ubuntu plucky/universe xgboost 2.1.4-1build1 (tar) [2138 kB] 208s Get:3 http://ftpmaster.internal/ubuntu plucky/universe xgboost 2.1.4-1build1 (diff) [23.2 kB] 208s gpgv: Signature made Wed Mar 5 01:20:21 2025 UTC 208s gpgv: using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2 208s gpgv: Can't check signature: No public key 208s dpkg-source: warning: cannot verify inline signature for ./xgboost_2.1.4-1build1.dsc: no acceptable signature found 209s autopkgtest [01:30:56]: testing package xgboost version 2.1.4-1build1 209s autopkgtest [01:30:56]: build not needed 210s autopkgtest [01:30:57]: test run-demos: preparing testbed 211s Reading package lists... 211s Building dependency tree... 211s Reading state information... 211s Starting pkgProblemResolver with broken count: 0 211s Starting 2 pkgProblemResolver with broken count: 0 211s Done 212s The following NEW packages will be installed: 212s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3 212s libdeflate0 libdmlc0t64 libfontconfig1 libgfortran5 libgomp1 libgraphite2-3 212s libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery 212s libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libopenjp2-7 212s libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7 212s libwebpdemux2 libwebpmux3 libxft2 libxgboost-dev libxgboost0 libxrender1 212s libxslt1.1 libxss1 python-matplotlib-data python3-brotli python3-contourpy 212s python3-cycler python3-dateutil python3-decorator python3-fonttools 212s python3-fs python3-joblib python3-kiwisolver python3-lxml python3-lz4 212s python3-matplotlib python3-mpmath python3-numpy python3-numpy-dev 212s python3-packaging python3-pandas python3-pandas-lib python3-pil 212s python3-pil.imagetk python3-platformdirs python3-pytz python3-scipy 212s python3-sklearn python3-sklearn-lib python3-sympy python3-threadpoolctl 212s python3-tk python3-tz python3-ufolib2 python3-unicodedata2 python3-xgboost 212s python3.12-tk python3.13-tk tk8.6-blt2.5 unicode-data x11-common 212s 0 upgraded, 77 newly installed, 0 to remove and 0 not upgraded. 212s Need to get 86.1 MB of archives. 212s After this operation, 366 MB of additional disk space will be used. 212s Get:1 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-numpy-dev arm64 1:2.2.3+ds-5 [146 kB] 213s Get:2 http://ftpmaster.internal/ubuntu plucky/main arm64 libblas3 arm64 3.12.1-2 [161 kB] 213s Get:3 http://ftpmaster.internal/ubuntu plucky/main arm64 libgfortran5 arm64 15-20250222-0ubuntu1 [444 kB] 213s Get:4 http://ftpmaster.internal/ubuntu plucky/main arm64 liblapack3 arm64 3.12.1-2 [2307 kB] 213s Get:5 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-numpy arm64 1:2.2.3+ds-5 [3981 kB] 214s Get:6 http://ftpmaster.internal/ubuntu plucky/main arm64 libtcl8.6 arm64 8.6.16+dfsg-1 [987 kB] 214s Get:7 http://ftpmaster.internal/ubuntu plucky/main arm64 fonts-dejavu-mono all 2.37-8 [502 kB] 214s Get:8 http://ftpmaster.internal/ubuntu plucky/main arm64 fonts-dejavu-core all 2.37-8 [835 kB] 214s Get:9 http://ftpmaster.internal/ubuntu plucky/main arm64 fontconfig-config arm64 2.15.0-2ubuntu1 [37.5 kB] 214s Get:10 http://ftpmaster.internal/ubuntu plucky/main arm64 libfontconfig1 arm64 2.15.0-2ubuntu1 [144 kB] 214s Get:11 http://ftpmaster.internal/ubuntu plucky/main arm64 libxrender1 arm64 1:0.9.10-1.1build1 [18.8 kB] 214s Get:12 http://ftpmaster.internal/ubuntu plucky/main arm64 libxft2 arm64 2.3.6-1build1 [44.1 kB] 214s Get:13 http://ftpmaster.internal/ubuntu plucky/main arm64 x11-common all 1:7.7+23ubuntu3 [21.7 kB] 214s Get:14 http://ftpmaster.internal/ubuntu plucky/main arm64 libxss1 arm64 1:1.2.3-1build3 [7244 B] 214s Get:15 http://ftpmaster.internal/ubuntu plucky/main arm64 libtk8.6 arm64 8.6.16-1 [776 kB] 214s Get:16 http://ftpmaster.internal/ubuntu plucky/main arm64 tk8.6-blt2.5 arm64 2.5.3+dfsg-8 [624 kB] 214s Get:17 http://ftpmaster.internal/ubuntu plucky/main arm64 blt arm64 2.5.3+dfsg-8 [4824 B] 214s Get:18 http://ftpmaster.internal/ubuntu plucky/universe arm64 fonts-lyx all 2.4.3-1 [171 kB] 214s Get:19 http://ftpmaster.internal/ubuntu plucky/main arm64 libdeflate0 arm64 1.23-1 [46.2 kB] 214s Get:20 http://ftpmaster.internal/ubuntu plucky/main arm64 libgomp1 arm64 15-20250222-0ubuntu1 [146 kB] 214s Get:21 http://ftpmaster.internal/ubuntu plucky/universe arm64 libdmlc0t64 arm64 0.5+git20240614.1334185-1 [174 kB] 214s Get:22 http://ftpmaster.internal/ubuntu plucky/main arm64 libgraphite2-3 arm64 1.3.14-2ubuntu1 [70.6 kB] 214s Get:23 http://ftpmaster.internal/ubuntu plucky/main arm64 libharfbuzz0b arm64 10.2.0-1 [490 kB] 214s Get:24 http://ftpmaster.internal/ubuntu plucky/main arm64 libimagequant0 arm64 2.18.0-1build1 [37.1 kB] 214s Get:25 http://ftpmaster.internal/ubuntu plucky/main arm64 libjpeg-turbo8 arm64 2.1.5-3ubuntu2 [165 kB] 214s Get:26 http://ftpmaster.internal/ubuntu plucky/main arm64 libjpeg8 arm64 8c-2ubuntu11 [2148 B] 214s Get:27 http://ftpmaster.internal/ubuntu plucky/main arm64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 214s Get:28 http://ftpmaster.internal/ubuntu plucky/universe arm64 libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 214s Get:29 http://ftpmaster.internal/ubuntu plucky/universe arm64 liblbfgsb0 arm64 3.0+dfsg.4-1build1 [27.7 kB] 214s Get:30 http://ftpmaster.internal/ubuntu plucky/main arm64 liblcms2-2 arm64 2.16-2 [170 kB] 214s Get:31 http://ftpmaster.internal/ubuntu plucky/main arm64 liblerc4 arm64 4.0.0+ds-5ubuntu1 [167 kB] 214s Get:32 http://ftpmaster.internal/ubuntu plucky/universe arm64 libqhull-r8.0 arm64 2020.2-6build1 [189 kB] 214s Get:33 http://ftpmaster.internal/ubuntu plucky/main arm64 libraqm0 arm64 0.10.2-1 [14.9 kB] 214s Get:34 http://ftpmaster.internal/ubuntu plucky/main arm64 libsharpyuv0 arm64 1.5.0-0.1 [16.9 kB] 214s Get:35 http://ftpmaster.internal/ubuntu plucky/main arm64 libjbig0 arm64 2.1-6.1ubuntu2 [29.3 kB] 214s Get:36 http://ftpmaster.internal/ubuntu plucky/main arm64 libwebp7 arm64 1.5.0-0.1 [194 kB] 214s Get:37 http://ftpmaster.internal/ubuntu plucky/main arm64 libtiff6 arm64 4.5.1+git230720-4ubuntu4 [193 kB] 214s Get:38 http://ftpmaster.internal/ubuntu plucky/main arm64 libwebpdemux2 arm64 1.5.0-0.1 [12.5 kB] 214s Get:39 http://ftpmaster.internal/ubuntu plucky/main arm64 libwebpmux3 arm64 1.5.0-0.1 [25.4 kB] 214s Get:40 http://ftpmaster.internal/ubuntu plucky/universe arm64 libxgboost0 arm64 2.1.4-1build1 [2039 kB] 215s Get:41 http://ftpmaster.internal/ubuntu plucky/universe arm64 libxgboost-dev arm64 2.1.4-1build1 [74.3 kB] 215s Get:42 http://ftpmaster.internal/ubuntu plucky/main arm64 libxslt1.1 arm64 1.1.39-0exp1ubuntu2 [168 kB] 215s Get:43 http://ftpmaster.internal/ubuntu plucky/universe arm64 python-matplotlib-data all 3.8.3-7build1 [2934 kB] 215s Get:44 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-brotli arm64 1.1.0-2build4 [342 kB] 215s Get:45 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-contourpy arm64 1.3.1-1build1 [182 kB] 215s Get:46 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-cycler all 0.12.1-1 [9716 B] 215s Get:47 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-dateutil all 2.9.0-3 [80.2 kB] 215s Get:48 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-decorator all 5.1.1-5 [10.1 kB] 215s Get:49 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-platformdirs all 4.3.6-1 [16.8 kB] 215s Get:50 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-fs all 2.4.16-7 [90.8 kB] 215s Get:51 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-lxml arm64 5.3.1-1build1 [1258 kB] 215s Get:52 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-lz4 arm64 4.4.0+dfsg-1build1 [27.1 kB] 215s Get:53 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-scipy arm64 1.14.1-4ubuntu2 [16.7 MB] 217s Get:54 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-mpmath all 1.3.0-1 [425 kB] 217s Get:55 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-sympy all 1.13.3-5 [4229 kB] 218s Get:56 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB] 218s Get:57 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-unicodedata2 arm64 15.1.0+ds-1build3 [360 kB] 218s Get:58 http://ftpmaster.internal/ubuntu plucky/universe arm64 unicode-data all 15.1.0-1 [8878 kB] 219s Get:59 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-fonttools arm64 4.55.3-2build1 [1466 kB] 219s Get:60 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-joblib all 1.4.2-3 [205 kB] 219s Get:61 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-kiwisolver arm64 1.4.7-3build1 [50.7 kB] 219s Get:62 http://ftpmaster.internal/ubuntu plucky/main arm64 libopenjp2-7 arm64 2.5.3-2 [183 kB] 219s Get:63 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-pil arm64 11.1.0-5build1 [463 kB] 219s Get:64 http://ftpmaster.internal/ubuntu plucky/main arm64 python3.12-tk arm64 3.12.9-1 [115 kB] 219s Get:65 http://ftpmaster.internal/ubuntu plucky/main arm64 python3.13-tk arm64 3.13.2-2 [106 kB] 219s Get:66 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-tk arm64 3.13.1-1 [9770 B] 219s Get:67 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-pil.imagetk arm64 11.1.0-5build1 [9892 B] 219s Get:68 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-packaging all 24.2-1 [51.5 kB] 219s Get:69 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-matplotlib arm64 3.8.3-7build1 [17.3 MB] 221s Get:70 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-pytz all 2025.1-3 [162 kB] 221s Get:71 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-tz all 2025.1-3 [1866 B] 221s Get:72 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-pandas-lib arm64 2.2.3+dfsg-8build1 [4586 kB] 222s Get:73 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-pandas all 2.2.3+dfsg-8build1 [3112 kB] 222s Get:74 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-threadpoolctl all 3.1.0-1 [21.3 kB] 222s Get:75 http://ftpmaster.internal/ubuntu plucky-proposed/universe arm64 python3-sklearn-lib arm64 1.4.2+dfsg-8 [4109 kB] 222s Get:76 http://ftpmaster.internal/ubuntu plucky-proposed/universe arm64 python3-sklearn all 1.4.2+dfsg-8 [2258 kB] 223s Get:77 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-xgboost arm64 2.1.4-1build1 [119 kB] 223s Fetched 86.1 MB in 11s (8065 kB/s) 223s Selecting previously unselected package python3-numpy-dev:arm64. 223s (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 ... 81647 files and directories currently installed.) 223s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.3+ds-5_arm64.deb ... 223s Unpacking python3-numpy-dev:arm64 (1:2.2.3+ds-5) ... 224s Selecting previously unselected package libblas3:arm64. 224s Preparing to unpack .../01-libblas3_3.12.1-2_arm64.deb ... 224s Unpacking libblas3:arm64 (3.12.1-2) ... 224s Selecting previously unselected package libgfortran5:arm64. 224s Preparing to unpack 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unselected package liblcms2-2:arm64. 225s Preparing to unpack .../29-liblcms2-2_2.16-2_arm64.deb ... 225s Unpacking liblcms2-2:arm64 (2.16-2) ... 225s Selecting previously unselected package liblerc4:arm64. 225s Preparing to unpack .../30-liblerc4_4.0.0+ds-5ubuntu1_arm64.deb ... 225s Unpacking liblerc4:arm64 (4.0.0+ds-5ubuntu1) ... 225s Selecting previously unselected package libqhull-r8.0:arm64. 225s Preparing to unpack .../31-libqhull-r8.0_2020.2-6build1_arm64.deb ... 225s Unpacking libqhull-r8.0:arm64 (2020.2-6build1) ... 225s Selecting previously unselected package libraqm0:arm64. 225s Preparing to unpack .../32-libraqm0_0.10.2-1_arm64.deb ... 225s Unpacking libraqm0:arm64 (0.10.2-1) ... 225s Selecting previously unselected package libsharpyuv0:arm64. 225s Preparing to unpack .../33-libsharpyuv0_1.5.0-0.1_arm64.deb ... 225s Unpacking libsharpyuv0:arm64 (1.5.0-0.1) ... 225s Selecting previously unselected package libjbig0:arm64. 225s Preparing to unpack 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python3-xgboost (2.1.4-1build1) ... 229s Setting up libgraphite2-3:arm64 (1.3.14-2ubuntu1) ... 229s Setting up liblcms2-2:arm64 (2.16-2) ... 229s Setting up libsharpyuv0:arm64 (1.5.0-0.1) ... 229s Setting up liblerc4:arm64 (4.0.0+ds-5ubuntu1) ... 229s Setting up libxrender1:arm64 (1:0.9.10-1.1build1) ... 229s Setting up python3-joblib (1.4.2-3) ... 229s Setting up python3-lz4 (4.4.0+dfsg-1build1) ... 229s Setting up python3-unicodedata2 (15.1.0+ds-1build3) ... 229s Setting up fonts-lyx (2.4.3-1) ... 229s Setting up python3-threadpoolctl (3.1.0-1) ... 230s Setting up x11-common (1:7.7+23ubuntu3) ... 230s Setting up libdeflate0:arm64 (1.23-1) ... 230s Setting up libqhull-r8.0:arm64 (2020.2-6build1) ... 230s Setting up python3-pytz (2025.1-3) ... 230s Setting up libgomp1:arm64 (15-20250222-0ubuntu1) ... 230s Setting up libjbig0:arm64 (2.1-6.1ubuntu2) ... 230s Setting up python3-platformdirs (4.3.6-1) ... 230s Setting up python3-tz (2025.1-3) ... 230s Setting up python3-fs (2.4.16-7) ... 230s Setting up unicode-data (15.1.0-1) ... 230s Setting up python3-decorator (5.1.1-5) ... 230s Setting up libblas3:arm64 (3.12.1-2) ... 231s 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 231s Setting up python3-packaging (24.2-1) ... 231s Setting up python3-brotli (1.1.0-2build4) ... 231s Setting up python3-cycler (0.12.1-1) ... 231s Setting up libimagequant0:arm64 (2.18.0-1build1) ... 231s Setting up fonts-dejavu-mono (2.37-8) ... 231s Setting up python3-kiwisolver (1.4.7-3build1) ... 231s Setting up python3-numpy-dev:arm64 (1:2.2.3+ds-5) ... 231s Setting up libtcl8.6:arm64 (8.6.16+dfsg-1) ... 231s Setting up fonts-dejavu-core (2.37-8) ... 231s Setting up libjpeg-turbo8:arm64 (2.1.5-3ubuntu2) ... 231s Setting up libgfortran5:arm64 (15-20250222-0ubuntu1) ... 231s Setting up libwebp7:arm64 (1.5.0-0.1) ... 231s Setting up libxslt1.1:arm64 (1.1.39-0exp1ubuntu2) ... 231s Setting up libopenjp2-7:arm64 (2.5.3-2) ... 231s Setting up libharfbuzz0b:arm64 (10.2.0-1) ... 231s Setting up python3-dateutil (2.9.0-3) ... 231s Setting up libxss1:arm64 (1:1.2.3-1build3) ... 231s Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 231s Setting up python3-mpmath (1.3.0-1) ... 232s Setting up python-matplotlib-data (3.8.3-7build1) ... 232s Setting up libwebpmux3:arm64 (1.5.0-0.1) ... 232s Setting up libjpeg8:arm64 (8c-2ubuntu11) ... 232s Setting up python3-sympy (1.13.3-5) ... 238s Setting up liblapack3:arm64 (3.12.1-2) ... 238s 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 238s Setting up libdmlc0t64:arm64 (0.5+git20240614.1334185-1) ... 238s Setting up fontconfig-config (2.15.0-2ubuntu1) ... 238s Setting up libwebpdemux2:arm64 (1.5.0-0.1) ... 238s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... 238s Setting up libraqm0:arm64 (0.10.2-1) ... 238s Setting up python3-numpy (1:2.2.3+ds-5) ... 240s Setting up python3-lxml:arm64 (5.3.1-1build1) ... 240s Setting up libtiff6:arm64 (4.5.1+git230720-4ubuntu4) ... 240s Setting up libxgboost0 (2.1.4-1build1) ... 240s Setting up python3-contourpy (1.3.1-1build1) ... 240s Setting up libfontconfig1:arm64 (2.15.0-2ubuntu1) ... 240s Setting up liblbfgsb0:arm64 (3.0+dfsg.4-1build1) ... 240s Setting up libxft2:arm64 (2.3.6-1build1) ... 240s Setting up python3-scipy (1.14.1-4ubuntu2) ... 244s Setting up libtk8.6:arm64 (8.6.16-1) ... 244s Setting up python3-pandas-lib:arm64 (2.2.3+dfsg-8build1) ... 244s Setting up python3.12-tk (3.12.9-1) ... 244s Setting up python3-sklearn-lib:arm64 (1.4.2+dfsg-8) ... 244s Setting up python3.13-tk (3.13.2-2) ... 244s Setting up python3-pil:arm64 (11.1.0-5build1) ... 244s Setting up python3-xgboost (2.1.4-1build1) ... 245s Setting up python3-pandas (2.2.3+dfsg-8build1) ... 250s Setting up libxgboost-dev (2.1.4-1build1) ... 250s Setting up python3-sklearn (1.4.2+dfsg-8) ... 252s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... 252s Setting up blt (2.5.3+dfsg-8) ... 252s Setting up python3-tk:arm64 (3.13.1-1) ... 252s Setting up python3-pil.imagetk:arm64 (11.1.0-5build1) ... 252s Setting up python3-fonttools (4.55.3-2build1) ... 253s Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... 253s Setting up python3-matplotlib (3.8.3-7build1) ... 254s Processing triggers for libc-bin (2.41-1ubuntu1) ... 254s Processing triggers for man-db (2.13.0-1) ... 257s autopkgtest [01:31:44]: test run-demos: [----------------------- 257s ========================================== 257s Running case basic_walkthrough.py... 259s [0] eval-logloss:0.22646 train-logloss:0.23316 259s [1] eval-logloss:0.13776 train-logloss:0.13654 259s error=0.021726 259s ========================================== 259s Running case boost_from_prediction.py... 260s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 260s warnings.warn(msg, FutureWarning) 260s start running example to start from a initial prediction 260s [0] eval-logloss:0.22646 train-logloss:0.23316 260s this is result of running from initial prediction 260s [0] eval-logloss:0.13776 train-logloss:0.13654 260s ========================================== 260s Running case callbacks.py... 262s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [01:31:48] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 262s warnings.warn(smsg, UserWarning) 262s [0] Train-error:0.03052 Train-rmse:0.35870 Valid-error:0.06993 Valid-rmse:0.37215 262s [1] Train-error:0.01174 Train-rmse:0.27804 Valid-error:0.04895 Valid-rmse:0.29761 262s [2] Train-error:0.01174 Train-rmse:0.21911 Valid-error:0.04895 Valid-rmse:0.25064 262s [3] Train-error:0.00939 Train-rmse:0.17913 Valid-error:0.02797 Valid-rmse:0.21447 262s [4] Train-error:0.00939 Train-rmse:0.14893 Valid-error:0.02797 Valid-rmse:0.19740 262s [5] Train-error:0.00939 Train-rmse:0.12816 Valid-error:0.03497 Valid-rmse:0.18098 262s [6] Train-error:0.00704 Train-rmse:0.11060 Valid-error:0.03497 Valid-rmse:0.17131 262s [7] Train-error:0.00704 Train-rmse:0.09947 Valid-error:0.03497 Valid-rmse:0.16077 262s [8] Train-error:0.00469 Train-rmse:0.08816 Valid-error:0.02797 Valid-rmse:0.14865 262s [9] Train-error:0.00469 Train-rmse:0.07863 Valid-error:0.03497 Valid-rmse:0.15073 262s [10] Train-error:0.00469 Train-rmse:0.07164 Valid-error:0.02098 Valid-rmse:0.14161 262s [11] Train-error:0.00469 Train-rmse:0.06692 Valid-error:0.01399 Valid-rmse:0.14028 262s [12] Train-error:0.00235 Train-rmse:0.06216 Valid-error:0.01399 Valid-rmse:0.13727 262s [13] Train-error:0.00235 Train-rmse:0.05811 Valid-error:0.01399 Valid-rmse:0.13495 262s [14] Train-error:0.00000 Train-rmse:0.05532 Valid-error:0.02098 Valid-rmse:0.13500 262s [15] Train-error:0.00000 Train-rmse:0.05178 Valid-error:0.02098 Valid-rmse:0.13226 262s [16] Train-error:0.00000 Train-rmse:0.04924 Valid-error:0.02098 Valid-rmse:0.13329 262s [17] Train-error:0.00000 Train-rmse:0.04656 Valid-error:0.01399 Valid-rmse:0.13183 262s [18] Train-error:0.00000 Train-rmse:0.04437 Valid-error:0.01399 Valid-rmse:0.13353 262s [19] Train-error:0.00000 Train-rmse:0.04272 Valid-error:0.02098 Valid-rmse:0.13468 262s [20] Train-error:0.00000 Train-rmse:0.04030 Valid-error:0.02098 Valid-rmse:0.13419 262s [21] Train-error:0.00000 Train-rmse:0.03869 Valid-error:0.02797 Valid-rmse:0.13543 262s [22] Train-error:0.00000 Train-rmse:0.03548 Valid-error:0.03497 Valid-rmse:0.13316 262s [23] Train-error:0.00000 Train-rmse:0.03444 Valid-error:0.03497 Valid-rmse:0.13637 262s [24] Train-error:0.00000 Train-rmse:0.03369 Valid-error:0.04196 Valid-rmse:0.13663 262s [25] Train-error:0.00000 Train-rmse:0.03213 Valid-error:0.03497 Valid-rmse:0.13386 262s [26] Train-error:0.00000 Train-rmse:0.03100 Valid-error:0.03497 Valid-rmse:0.13180 262s [27] Train-error:0.00000 Train-rmse:0.03036 Valid-error:0.03497 Valid-rmse:0.13263 262s [28] Train-error:0.00000 Train-rmse:0.02957 Valid-error:0.04196 Valid-rmse:0.13493 262s [29] Train-error:0.00000 Train-rmse:0.02866 Valid-error:0.03497 Valid-rmse:0.13487 262s [30] Train-error:0.00000 Train-rmse:0.02851 Valid-error:0.04196 Valid-rmse:0.13384 262s [31] Train-error:0.00000 Train-rmse:0.02721 Valid-error:0.02797 Valid-rmse:0.13117 262s [32] Train-error:0.00000 Train-rmse:0.02615 Valid-error:0.03497 Valid-rmse:0.13188 262s [33] Train-error:0.00000 Train-rmse:0.02559 Valid-error:0.03497 Valid-rmse:0.13096 263s [34] Train-error:0.00000 Train-rmse:0.02520 Valid-error:0.04196 Valid-rmse:0.13283 263s [35] Train-error:0.00000 Train-rmse:0.02438 Valid-error:0.03497 Valid-rmse:0.13220 263s [36] Train-error:0.00000 Train-rmse:0.02356 Valid-error:0.03497 Valid-rmse:0.13030 263s [37] Train-error:0.00000 Train-rmse:0.02348 Valid-error:0.03497 Valid-rmse:0.12942 263s [38] Train-error:0.00000 Train-rmse:0.02337 Valid-error:0.03497 Valid-rmse:0.12955 263s [39] Train-error:0.00000 Train-rmse:0.02265 Valid-error:0.02797 Valid-rmse:0.12785 263s [40] Train-error:0.00000 Train-rmse:0.02283 Valid-error:0.03497 Valid-rmse:0.12889 263s [41] Train-error:0.00000 Train-rmse:0.02255 Valid-error:0.03497 Valid-rmse:0.13066 263s [42] Train-error:0.00000 Train-rmse:0.02190 Valid-error:0.03497 Valid-rmse:0.12905 263s [43] Train-error:0.00000 Train-rmse:0.02173 Valid-error:0.03497 Valid-rmse:0.12833 263s [44] Train-error:0.00000 Train-rmse:0.02180 Valid-error:0.03497 Valid-rmse:0.12884 263s [45] Train-error:0.00000 Train-rmse:0.02153 Valid-error:0.03497 Valid-rmse:0.13050 263s [46] Train-error:0.00000 Train-rmse:0.02149 Valid-error:0.03497 Valid-rmse:0.12927 263s [47] Train-error:0.00000 Train-rmse:0.02134 Valid-error:0.02797 Valid-rmse:0.13012 263s [48] Train-error:0.00000 Train-rmse:0.02119 Valid-error:0.03497 Valid-rmse:0.12936 263s [49] Train-error:0.00000 Train-rmse:0.02124 Valid-error:0.02797 Valid-rmse:0.12989 263s [50] Train-error:0.00000 Train-rmse:0.02116 Valid-error:0.02797 Valid-rmse:0.13014 263s [51] Train-error:0.00000 Train-rmse:0.02107 Valid-error:0.02797 Valid-rmse:0.12953 263s [52] Train-error:0.00000 Train-rmse:0.02121 Valid-error:0.02797 Valid-rmse:0.12976 263s [53] Train-error:0.00000 Train-rmse:0.02080 Valid-error:0.02797 Valid-rmse:0.12903 263s [54] Train-error:0.00000 Train-rmse:0.02060 Valid-error:0.02797 Valid-rmse:0.13032 263s [55] Train-error:0.00000 Train-rmse:0.02069 Valid-error:0.02797 Valid-rmse:0.13027 263s [56] Train-error:0.00000 Train-rmse:0.02039 Valid-error:0.02797 Valid-rmse:0.12900 263s [57] Train-error:0.00000 Train-rmse:0.02031 Valid-error:0.02797 Valid-rmse:0.12845 263s [58] Train-error:0.00000 Train-rmse:0.02047 Valid-error:0.02797 Valid-rmse:0.12928 263s [59] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12865 263s [60] Train-error:0.00000 Train-rmse:0.02027 Valid-error:0.02797 Valid-rmse:0.12884 263s [61] Train-error:0.00000 Train-rmse:0.02023 Valid-error:0.02797 Valid-rmse:0.12917 263s [62] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12947 263s [63] Train-error:0.00000 Train-rmse:0.01986 Valid-error:0.02797 Valid-rmse:0.12827 263s [64] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12780 263s [65] Train-error:0.00000 Train-rmse:0.01971 Valid-error:0.02797 Valid-rmse:0.12888 263s [66] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12928 263s [67] Train-error:0.00000 Train-rmse:0.01977 Valid-error:0.02797 Valid-rmse:0.12962 263s [68] Train-error:0.00000 Train-rmse:0.01969 Valid-error:0.02797 Valid-rmse:0.12991 264s [69] Train-error:0.00000 Train-rmse:0.01940 Valid-error:0.02797 Valid-rmse:0.12920 264s [70] Train-error:0.00000 Train-rmse:0.01941 Valid-error:0.02797 Valid-rmse:0.12825 264s [71] Train-error:0.00000 Train-rmse:0.01936 Valid-error:0.02797 Valid-rmse:0.12785 264s [72] Train-error:0.00000 Train-rmse:0.01950 Valid-error:0.02797 Valid-rmse:0.12858 264s [73] Train-error:0.00000 Train-rmse:0.01921 Valid-error:0.02797 Valid-rmse:0.12791 264s [74] Train-error:0.00000 Train-rmse:0.01914 Valid-error:0.02797 Valid-rmse:0.12832 264s [75] Train-error:0.00000 Train-rmse:0.01912 Valid-error:0.02797 Valid-rmse:0.12821 264s [76] Train-error:0.00000 Train-rmse:0.01906 Valid-error:0.02797 Valid-rmse:0.12814 264s [77] Train-error:0.00000 Train-rmse:0.01897 Valid-error:0.02797 Valid-rmse:0.12845 264s [78] Train-error:0.00000 Train-rmse:0.01875 Valid-error:0.02797 Valid-rmse:0.12734 264s [79] Train-error:0.00000 Train-rmse:0.01873 Valid-error:0.02797 Valid-rmse:0.12765 264s [80] Train-error:0.00000 Train-rmse:0.01866 Valid-error:0.02797 Valid-rmse:0.12793 264s [81] Train-error:0.00000 Train-rmse:0.01869 Valid-error:0.02797 Valid-rmse:0.12708 264s [82] Train-error:0.00000 Train-rmse:0.01844 Valid-error:0.02797 Valid-rmse:0.12642 264s [83] Train-error:0.00000 Train-rmse:0.01857 Valid-error:0.02797 Valid-rmse:0.12709 264s [84] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12674 264s [85] Train-error:0.00000 Train-rmse:0.01862 Valid-error:0.02797 Valid-rmse:0.12712 264s [86] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12754 264s [87] Train-error:0.00000 Train-rmse:0.01829 Valid-error:0.02797 Valid-rmse:0.12693 264s [88] Train-error:0.00000 Train-rmse:0.01821 Valid-error:0.02797 Valid-rmse:0.12788 264s [89] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12782 264s [90] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12768 264s [91] Train-error:0.00000 Train-rmse:0.01809 Valid-error:0.02797 Valid-rmse:0.12797 264s [92] Train-error:0.00000 Train-rmse:0.01807 Valid-error:0.02797 Valid-rmse:0.12768 264s [93] Train-error:0.00000 Train-rmse:0.01798 Valid-error:0.02797 Valid-rmse:0.12858 264s [94] Train-error:0.00000 Train-rmse:0.01776 Valid-error:0.02797 Valid-rmse:0.12801 264s [95] Train-error:0.00000 Train-rmse:0.01786 Valid-error:0.02797 Valid-rmse:0.12804 264s [96] Train-error:0.00000 Train-rmse:0.01779 Valid-error:0.02797 Valid-rmse:0.12844 264s [97] Train-error:0.00000 Train-rmse:0.01778 Valid-error:0.02797 Valid-rmse:0.12875 264s [98] Train-error:0.00000 Train-rmse:0.01759 Valid-error:0.02797 Valid-rmse:0.12806 264s [99] Train-error:0.00000 Train-rmse:0.01771 Valid-error:0.02797 Valid-rmse:0.12865 265s ========================================== 265s Skip case cat_in_the_dat.py... 265s ========================================== 265s Running case cat_pipeline.py... 266s ========================================== 266s Running case categorical.py... 267s [0] validation_0-rmse:2.94171 267s [1] validation_0-rmse:2.40095 267s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [01:31:54] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 267s warnings.warn(smsg, UserWarning) 267s [2] validation_0-rmse:1.96121 267s [3] validation_0-rmse:1.61285 267s [4] validation_0-rmse:1.35854 267s [5] validation_0-rmse:1.12286 267s [6] validation_0-rmse:0.96789 267s [7] validation_0-rmse:0.79707 267s [8] validation_0-rmse:0.66201 267s [9] validation_0-rmse:0.55282 267s [10] validation_0-rmse:0.46038 267s [11] validation_0-rmse:0.38278 267s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [01:31:54] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 267s warnings.warn(smsg, UserWarning) 267s [12] validation_0-rmse:0.32840 267s [13] validation_0-rmse:0.27462 267s [14] validation_0-rmse:0.23398 267s [15] validation_0-rmse:0.19823 267s [16] validation_0-rmse:0.16984 267s [17] validation_0-rmse:0.14636 267s [18] validation_0-rmse:0.12447 267s [19] validation_0-rmse:0.10444 267s [20] validation_0-rmse:0.08984 267s [21] validation_0-rmse:0.07610 267s [22] validation_0-rmse:0.06622 267s [23] validation_0-rmse:0.05653 267s [24] validation_0-rmse:0.04906 267s [25] validation_0-rmse:0.04173 267s [26] validation_0-rmse:0.03550 267s [27] validation_0-rmse:0.03046 267s [28] validation_0-rmse:0.02585 267s [29] validation_0-rmse:0.02187 267s [30] validation_0-rmse:0.01863 267s [31] validation_0-rmse:0.01597 267s [32] validation_0-rmse:0.01361 267s [33] validation_0-rmse:0.01166 267s [34] validation_0-rmse:0.01041 267s [35] validation_0-rmse:0.00909 267s [36] validation_0-rmse:0.00780 267s [37] validation_0-rmse:0.00666 267s [38] validation_0-rmse:0.00569 267s [39] validation_0-rmse:0.00493 267s [40] validation_0-rmse:0.00426 267s [41] validation_0-rmse:0.00365 267s [42] validation_0-rmse:0.00314 267s [43] validation_0-rmse:0.00268 267s [44] validation_0-rmse:0.00233 267s [45] validation_0-rmse:0.00200 267s [46] validation_0-rmse:0.00170 267s [47] validation_0-rmse:0.00148 267s [48] validation_0-rmse:0.00130 267s [49] validation_0-rmse:0.00116 267s [50] validation_0-rmse:0.00100 267s [51] validation_0-rmse:0.00090 267s [52] validation_0-rmse:0.00082 267s [53] validation_0-rmse:0.00075 267s [54] validation_0-rmse:0.00075 267s [55] validation_0-rmse:0.00075 267s [56] validation_0-rmse:0.00075 267s [57] validation_0-rmse:0.00075 267s [58] validation_0-rmse:0.00075 267s [59] validation_0-rmse:0.00075 267s [60] validation_0-rmse:0.00075 267s [61] validation_0-rmse:0.00075 267s [62] validation_0-rmse:0.00075 267s [63] validation_0-rmse:0.00075 267s [64] validation_0-rmse:0.00075 267s [65] validation_0-rmse:0.00075 267s [66] validation_0-rmse:0.00075 267s [67] validation_0-rmse:0.00075 267s [68] validation_0-rmse:0.00075 267s [69] validation_0-rmse:0.00075 267s [70] validation_0-rmse:0.00075 267s [71] validation_0-rmse:0.00075 267s [72] validation_0-rmse:0.00075 267s [73] validation_0-rmse:0.00075 267s [74] validation_0-rmse:0.00075 267s [75] validation_0-rmse:0.00075 267s [76] validation_0-rmse:0.00075 267s [77] validation_0-rmse:0.00075 267s [78] validation_0-rmse:0.00075 267s [79] validation_0-rmse:0.00075 267s [80] validation_0-rmse:0.00075 267s [81] 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validation_0-rmse:0.55282 267s [10] validation_0-rmse:0.46038 267s [11] validation_0-rmse:0.38278 267s [12] validation_0-rmse:0.32840 267s [13] validation_0-rmse:0.27462 267s [14] validation_0-rmse:0.23398 267s [15] validation_0-rmse:0.19823 267s [16] validation_0-rmse:0.16984 267s [17] validation_0-rmse:0.14636 267s [18] validation_0-rmse:0.12447 267s [19] validation_0-rmse:0.10444 267s [20] validation_0-rmse:0.08984 267s [21] validation_0-rmse:0.07610 267s [22] validation_0-rmse:0.06622 267s [23] validation_0-rmse:0.05653 267s [24] validation_0-rmse:0.04906 267s [25] validation_0-rmse:0.04173 267s [26] validation_0-rmse:0.03550 267s [27] validation_0-rmse:0.03046 267s [28] validation_0-rmse:0.02585 267s [29] validation_0-rmse:0.02187 267s [30] validation_0-rmse:0.01863 267s [31] validation_0-rmse:0.01597 267s [32] validation_0-rmse:0.01361 267s [33] validation_0-rmse:0.01166 267s [34] validation_0-rmse:0.01041 267s [35] validation_0-rmse:0.00909 267s [36] validation_0-rmse:0.00780 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validation_0-logloss:0.00385 268s [167] validation_0-logloss:0.00385 268s [168] validation_0-logloss:0.00384 268s [169] validation_0-logloss:0.00383 268s [170] validation_0-logloss:0.00383 268s [171] validation_0-logloss:0.00382 268s [172] validation_0-logloss:0.00381 268s [173] validation_0-logloss:0.00381 268s [174] validation_0-logloss:0.00380 268s [175] validation_0-logloss:0.00380 268s [176] validation_0-logloss:0.00379 268s [177] validation_0-logloss:0.00379 268s [178] validation_0-logloss:0.00378 268s [179] validation_0-logloss:0.00378 268s [180] validation_0-logloss:0.00377 268s [181] validation_0-logloss:0.00377 268s [182] validation_0-logloss:0.00376 268s [183] validation_0-logloss:0.00376 268s [184] validation_0-logloss:0.00375 268s [185] validation_0-logloss:0.00375 268s [186] validation_0-logloss:0.00374 268s [187] validation_0-logloss:0.00374 268s [188] validation_0-logloss:0.00373 268s [189] validation_0-logloss:0.00373 268s [190] validation_0-logloss:0.00373 268s [191] validation_0-logloss:0.00372 268s [192] validation_0-logloss:0.00372 268s [193] validation_0-logloss:0.00372 268s [194] validation_0-logloss:0.00371 268s [195] validation_0-logloss:0.00371 268s [196] validation_0-logloss:0.00371 268s [197] validation_0-logloss:0.00371 268s [198] validation_0-logloss:0.00371 268s [199] validation_0-logloss:0.00371 268s Total boosted rounds: 195 268s [0] validation_0-logloss:0.43281 268s [1] validation_0-logloss:0.30816 268s [2] validation_0-logloss:0.22816 268s [3] validation_0-logloss:0.17470 268s [4] validation_0-logloss:0.13438 268s [5] validation_0-logloss:0.10538 268s [6] validation_0-logloss:0.08467 268s [7] validation_0-logloss:0.06909 268s [8] validation_0-logloss:0.05766 268s [9] validation_0-logloss:0.04842 268s [10] validation_0-logloss:0.04121 268s [11] validation_0-logloss:0.03545 268s [12] validation_0-logloss:0.03077 268s [13] validation_0-logloss:0.02742 268s [14] validation_0-logloss:0.02444 268s [15] validation_0-logloss:0.02208 268s 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validation_0-logloss:0.00437 268s [117] validation_0-logloss:0.00435 268s [118] validation_0-logloss:0.00434 268s [119] validation_0-logloss:0.00433 268s [120] validation_0-logloss:0.00431 268s [121] validation_0-logloss:0.00430 268s [122] validation_0-logloss:0.00429 268s [123] validation_0-logloss:0.00427 268s [124] validation_0-logloss:0.00426 268s [125] validation_0-logloss:0.00425 268s [126] validation_0-logloss:0.00423 268s [127] validation_0-logloss:0.00422 268s [0] validation_0-logloss:0.00421 268s [1] validation_0-logloss:0.00420 268s [2] validation_0-logloss:0.00419 268s [3] validation_0-logloss:0.00417 268s [4] validation_0-logloss:0.00416 268s [5] validation_0-logloss:0.00415 268s [6] validation_0-logloss:0.00414 268s [7] validation_0-logloss:0.00413 268s [8] validation_0-logloss:0.00412 268s [9] validation_0-logloss:0.00411 268s [10] validation_0-logloss:0.00410 268s [11] validation_0-logloss:0.00409 268s [12] validation_0-logloss:0.00408 268s [13] validation_0-logloss:0.00407 268s [14] validation_0-logloss:0.00406 268s [15] validation_0-logloss:0.00405 268s [16] validation_0-logloss:0.00404 268s [17] validation_0-logloss:0.00403 268s [18] validation_0-logloss:0.00402 268s [19] validation_0-logloss:0.00401 268s [20] validation_0-logloss:0.00400 268s [21] validation_0-logloss:0.00399 268s [22] validation_0-logloss:0.00398 268s [23] validation_0-logloss:0.00397 268s [24] validation_0-logloss:0.00396 268s [25] validation_0-logloss:0.00396 268s [26] validation_0-logloss:0.00395 268s [27] validation_0-logloss:0.00394 268s [28] validation_0-logloss:0.00393 268s [29] validation_0-logloss:0.00392 268s [30] validation_0-logloss:0.00391 268s [31] validation_0-logloss:0.00391 268s [32] validation_0-logloss:0.00390 268s [33] validation_0-logloss:0.00389 268s [34] validation_0-logloss:0.00388 268s [35] validation_0-logloss:0.00388 268s [36] validation_0-logloss:0.00387 268s [37] validation_0-logloss:0.00386 268s [38] validation_0-logloss:0.00385 268s [39] validation_0-logloss:0.00385 268s [40] validation_0-logloss:0.00384 268s [41] validation_0-logloss:0.00383 268s [42] validation_0-logloss:0.00383 268s [43] validation_0-logloss:0.00382 268s [44] validation_0-logloss:0.00381 268s [45] validation_0-logloss:0.00381 268s [46] validation_0-logloss:0.00380 268s [47] validation_0-logloss:0.00380 268s [48] validation_0-logloss:0.00379 268s [49] validation_0-logloss:0.00379 268s [50] validation_0-logloss:0.00378 268s [51] validation_0-logloss:0.00378 268s [52] validation_0-logloss:0.00377 268s [53] validation_0-logloss:0.00377 268s [54] validation_0-logloss:0.00376 268s [55] validation_0-logloss:0.00376 268s [56] validation_0-logloss:0.00375 268s [57] validation_0-logloss:0.00375 268s [58] validation_0-logloss:0.00374 268s [59] validation_0-logloss:0.00374 268s [60] validation_0-logloss:0.00373 268s [61] validation_0-logloss:0.00373 268s [62] validation_0-logloss:0.00373 268s [63] validation_0-logloss:0.00372 268s [64] validation_0-logloss:0.00372 268s [65] validation_0-logloss:0.00372 268s [66] validation_0-logloss:0.00371 268s [67] validation_0-logloss:0.00371 268s [68] validation_0-logloss:0.00371 268s [69] validation_0-logloss:0.00371 268s [70] validation_0-logloss:0.00371 268s Total boosted rounds: 195 268s [0] validation_0-logloss:0.43281 268s [1] validation_0-logloss:0.30816 268s [2] validation_0-logloss:0.22816 268s [3] validation_0-logloss:0.17470 268s [4] validation_0-logloss:0.13438 268s [5] validation_0-logloss:0.10538 268s [6] validation_0-logloss:0.08467 268s [7] validation_0-logloss:0.06909 268s [8] validation_0-logloss:0.05766 268s [9] validation_0-logloss:0.04842 268s [10] validation_0-logloss:0.04121 268s [11] validation_0-logloss:0.03545 268s [12] validation_0-logloss:0.03077 268s [13] validation_0-logloss:0.02742 268s [14] validation_0-logloss:0.02444 268s [15] validation_0-logloss:0.02208 268s [16] validation_0-logloss:0.01993 268s [17] validation_0-logloss:0.01819 268s [18] validation_0-logloss:0.01676 268s [19] validation_0-logloss:0.01575 268s [20] validation_0-logloss:0.01461 268s [21] validation_0-logloss:0.01383 268s [22] validation_0-logloss:0.01304 268s [23] validation_0-logloss:0.01243 268s [24] validation_0-logloss:0.01179 268s [25] validation_0-logloss:0.01142 268s [26] validation_0-logloss:0.01103 268s [27] validation_0-logloss:0.01066 268s [28] validation_0-logloss:0.01037 268s [29] validation_0-logloss:0.00993 268s [30] validation_0-logloss:0.00966 268s [31] validation_0-logloss:0.00920 268s [32] validation_0-logloss:0.00900 268s [33] validation_0-logloss:0.00876 268s [34] validation_0-logloss:0.00852 268s [35] validation_0-logloss:0.00835 268s [36] validation_0-logloss:0.00810 268s [37] validation_0-logloss:0.00791 268s [38] validation_0-logloss:0.00764 268s [39] validation_0-logloss:0.00753 268s [40] validation_0-logloss:0.00739 268s [41] validation_0-logloss:0.00723 268s [42] validation_0-logloss:0.00706 268s [43] validation_0-logloss:0.00695 268s [44] validation_0-logloss:0.00688 268s [45] validation_0-logloss:0.00671 268s [46] validation_0-logloss:0.00662 268s [47] validation_0-logloss:0.00650 268s [48] validation_0-logloss:0.00637 268s [49] validation_0-logloss:0.00628 268s [50] validation_0-logloss:0.00623 268s [51] validation_0-logloss:0.00618 268s [52] validation_0-logloss:0.00614 268s [53] validation_0-logloss:0.00609 268s [54] validation_0-logloss:0.00600 268s [55] validation_0-logloss:0.00590 268s [56] validation_0-logloss:0.00582 268s [57] validation_0-logloss:0.00578 268s [58] validation_0-logloss:0.00570 268s [59] validation_0-logloss:0.00566 268s [60] validation_0-logloss:0.00563 268s [61] validation_0-logloss:0.00559 268s [62] validation_0-logloss:0.00556 268s [63] validation_0-logloss:0.00553 268s [64] validation_0-logloss:0.00549 268s [65] validation_0-logloss:0.00546 268s [66] validation_0-logloss:0.00543 268s [67] validation_0-logloss:0.00540 268s [68] validation_0-logloss:0.00537 268s [69] validation_0-logloss:0.00534 268s [70] validation_0-logloss:0.00531 268s [71] validation_0-logloss:0.00528 268s [72] validation_0-logloss:0.00525 268s [73] validation_0-logloss:0.00523 268s [74] validation_0-logloss:0.00520 268s [75] validation_0-logloss:0.00517 268s [76] validation_0-logloss:0.00515 268s [77] validation_0-logloss:0.00512 268s [78] validation_0-logloss:0.00510 268s [79] validation_0-logloss:0.00507 268s [80] validation_0-logloss:0.00505 268s [81] validation_0-logloss:0.00502 268s [82] validation_0-logloss:0.00500 268s [83] validation_0-logloss:0.00498 268s [84] validation_0-logloss:0.00496 268s [85] validation_0-logloss:0.00493 268s [86] validation_0-logloss:0.00491 268s [87] validation_0-logloss:0.00489 268s [88] validation_0-logloss:0.00486 268s [89] validation_0-logloss:0.00484 268s [90] validation_0-logloss:0.00482 268s [91] validation_0-logloss:0.00480 268s [92] validation_0-logloss:0.00478 268s [93] validation_0-logloss:0.00476 268s [94] validation_0-logloss:0.00474 268s [95] validation_0-logloss:0.00472 268s [96] validation_0-logloss:0.00470 268s [97] validation_0-logloss:0.00468 268s [98] validation_0-logloss:0.00466 268s [99] validation_0-logloss:0.00464 268s [100] validation_0-logloss:0.00463 268s [101] validation_0-logloss:0.00461 268s [102] validation_0-logloss:0.00459 268s [103] validation_0-logloss:0.00457 268s [104] validation_0-logloss:0.00456 268s [105] validation_0-logloss:0.00454 268s [106] validation_0-logloss:0.00452 268s [107] validation_0-logloss:0.00451 268s [108] validation_0-logloss:0.00449 268s [109] validation_0-logloss:0.00448 268s [110] validation_0-logloss:0.00446 268s [111] validation_0-logloss:0.00444 268s [112] validation_0-logloss:0.00443 268s [113] validation_0-logloss:0.00441 268s [114] validation_0-logloss:0.00440 268s [115] validation_0-logloss:0.00438 268s [116] validation_0-logloss:0.00437 268s [117] validation_0-logloss:0.00435 268s [118] validation_0-logloss:0.00434 268s [119] validation_0-logloss:0.00433 268s [120] validation_0-logloss:0.00431 268s [121] validation_0-logloss:0.00430 268s [122] validation_0-logloss:0.00429 268s [123] validation_0-logloss:0.00427 268s [124] validation_0-logloss:0.00426 268s [125] validation_0-logloss:0.00425 268s [126] validation_0-logloss:0.00423 268s [127] validation_0-logloss:0.00422 268s [128] validation_0-logloss:0.00421 268s [129] validation_0-logloss:0.00420 268s [130] validation_0-logloss:0.00419 268s [131] validation_0-logloss:0.00417 268s [132] validation_0-logloss:0.00416 268s [133] validation_0-logloss:0.00415 268s [134] validation_0-logloss:0.00414 268s [135] validation_0-logloss:0.00413 268s [136] validation_0-logloss:0.00412 268s [137] validation_0-logloss:0.00411 268s [138] validation_0-logloss:0.00410 268s [139] validation_0-logloss:0.00409 268s [140] validation_0-logloss:0.00408 268s [141] validation_0-logloss:0.00407 268s [142] validation_0-logloss:0.00406 268s [143] validation_0-logloss:0.00405 268s [144] validation_0-logloss:0.00404 268s [145] validation_0-logloss:0.00403 268s [146] validation_0-logloss:0.00402 268s [147] validation_0-logloss:0.00401 268s [148] validation_0-logloss:0.00400 268s [149] validation_0-logloss:0.00399 268s [150] validation_0-logloss:0.00398 268s [151] validation_0-logloss:0.00397 268s [152] validation_0-logloss:0.00396 268s [153] validation_0-logloss:0.00396 268s [154] validation_0-logloss:0.00395 268s [155] validation_0-logloss:0.00394 268s [156] validation_0-logloss:0.00393 268s [157] validation_0-logloss:0.00392 268s [158] validation_0-logloss:0.00391 268s [159] validation_0-logloss:0.00391 268s [160] validation_0-logloss:0.00390 268s [161] validation_0-logloss:0.00389 268s [162] validation_0-logloss:0.00388 268s [163] validation_0-logloss:0.00388 268s [164] validation_0-logloss:0.00387 268s [165] validation_0-logloss:0.00386 268s [166] validation_0-logloss:0.00385 268s [167] validation_0-logloss:0.00385 268s [168] validation_0-logloss:0.00384 268s [169] validation_0-logloss:0.00383 268s [170] validation_0-logloss:0.00383 268s [171] validation_0-logloss:0.00382 268s [172] validation_0-logloss:0.00381 268s [173] validation_0-logloss:0.00381 268s [174] validation_0-logloss:0.00380 268s [175] validation_0-logloss:0.00380 268s [176] validation_0-logloss:0.00379 268s [177] validation_0-logloss:0.00379 268s [178] validation_0-logloss:0.00378 268s [179] validation_0-logloss:0.00378 268s [180] validation_0-logloss:0.00377 268s [181] validation_0-logloss:0.00377 268s [182] validation_0-logloss:0.00376 268s [183] validation_0-logloss:0.00376 268s [184] validation_0-logloss:0.00375 268s [185] validation_0-logloss:0.00375 268s [186] validation_0-logloss:0.00374 268s [187] validation_0-logloss:0.00374 268s [188] validation_0-logloss:0.00373 268s [189] validation_0-logloss:0.00373 268s [190] validation_0-logloss:0.00373 268s [191] validation_0-logloss:0.00372 268s [192] validation_0-logloss:0.00372 268s [193] validation_0-logloss:0.00372 268s [194] validation_0-logloss:0.00371 268s [195] validation_0-logloss:0.00371 268s [196] validation_0-logloss:0.00371 268s [197] validation_0-logloss:0.00371 268s [198] validation_0-logloss:0.00371 268s Total boosted rounds: 195 268s [0] validation_0-logloss:0.43281 268s [1] validation_0-logloss:0.30816 268s [2] validation_0-logloss:0.22816 268s [3] validation_0-logloss:0.17470 268s [4] validation_0-logloss:0.13438 268s [5] validation_0-logloss:0.10538 268s [6] validation_0-logloss:0.08467 268s [7] validation_0-logloss:0.06909 268s [8] validation_0-logloss:0.05766 269s [9] validation_0-logloss:0.04842 269s [10] validation_0-logloss:0.04121 269s [11] validation_0-logloss:0.03545 269s [12] validation_0-logloss:0.03077 269s [13] validation_0-logloss:0.02742 269s [14] validation_0-logloss:0.02444 269s [15] validation_0-logloss:0.02208 269s [16] validation_0-logloss:0.01993 269s [17] validation_0-logloss:0.01819 269s [18] validation_0-logloss:0.01676 269s [19] validation_0-logloss:0.01575 269s [20] validation_0-logloss:0.01461 269s [21] validation_0-logloss:0.01383 269s [22] validation_0-logloss:0.01304 269s [23] validation_0-logloss:0.01243 269s [24] validation_0-logloss:0.01179 269s [25] validation_0-logloss:0.01142 269s [26] validation_0-logloss:0.01103 269s [27] validation_0-logloss:0.01066 269s [28] validation_0-logloss:0.01037 269s [29] validation_0-logloss:0.00993 269s [30] validation_0-logloss:0.00966 269s [31] validation_0-logloss:0.00920 269s [32] validation_0-logloss:0.00900 269s [33] validation_0-logloss:0.00876 269s [34] validation_0-logloss:0.00852 269s [35] validation_0-logloss:0.00835 269s [36] validation_0-logloss:0.00810 269s [37] validation_0-logloss:0.00791 269s [38] validation_0-logloss:0.00764 269s [39] validation_0-logloss:0.00753 269s [40] validation_0-logloss:0.00739 269s [41] validation_0-logloss:0.00723 269s [42] validation_0-logloss:0.00706 269s [43] validation_0-logloss:0.00695 269s [44] validation_0-logloss:0.00688 269s [45] validation_0-logloss:0.00671 269s [46] validation_0-logloss:0.00662 269s [47] validation_0-logloss:0.00650 269s [48] validation_0-logloss:0.00637 269s [49] validation_0-logloss:0.00628 269s [50] validation_0-logloss:0.00623 269s [51] validation_0-logloss:0.00618 269s [52] validation_0-logloss:0.00614 269s [53] validation_0-logloss:0.00609 269s [54] validation_0-logloss:0.00600 269s [55] validation_0-logloss:0.00590 269s [56] validation_0-logloss:0.00582 269s [57] validation_0-logloss:0.00578 269s [58] validation_0-logloss:0.00570 269s [59] validation_0-logloss:0.00566 269s [60] validation_0-logloss:0.00563 269s [61] validation_0-logloss:0.00559 269s [62] validation_0-logloss:0.00556 269s [63] validation_0-logloss:0.00553 269s [64] validation_0-logloss:0.00549 269s [65] validation_0-logloss:0.00546 269s [66] validation_0-logloss:0.00543 269s [67] validation_0-logloss:0.00540 269s [68] validation_0-logloss:0.00537 269s [69] validation_0-logloss:0.00534 269s [70] validation_0-logloss:0.00531 269s [71] validation_0-logloss:0.00528 269s [72] validation_0-logloss:0.00525 269s [73] validation_0-logloss:0.00523 269s [74] validation_0-logloss:0.00520 269s [75] validation_0-logloss:0.00517 269s [76] validation_0-logloss:0.00515 269s [77] validation_0-logloss:0.00512 269s [78] validation_0-logloss:0.00510 269s [79] validation_0-logloss:0.00507 269s [80] validation_0-logloss:0.00505 269s [81] validation_0-logloss:0.00502 269s [82] validation_0-logloss:0.00500 269s [83] validation_0-logloss:0.00498 269s [84] validation_0-logloss:0.00496 269s [85] validation_0-logloss:0.00493 269s [86] validation_0-logloss:0.00491 269s [87] validation_0-logloss:0.00489 269s [88] validation_0-logloss:0.00486 269s [89] validation_0-logloss:0.00484 269s [90] validation_0-logloss:0.00482 269s [91] validation_0-logloss:0.00480 269s [92] validation_0-logloss:0.00478 269s [93] validation_0-logloss:0.00476 269s [94] validation_0-logloss:0.00474 269s [95] validation_0-logloss:0.00472 269s [96] validation_0-logloss:0.00470 269s [97] validation_0-logloss:0.00468 269s [98] validation_0-logloss:0.00466 269s [99] validation_0-logloss:0.00464 269s [100] validation_0-logloss:0.00463 269s [101] validation_0-logloss:0.00461 269s [102] validation_0-logloss:0.00459 269s [103] validation_0-logloss:0.00457 269s [104] validation_0-logloss:0.00456 269s [105] validation_0-logloss:0.00454 269s [106] validation_0-logloss:0.00452 269s [107] validation_0-logloss:0.00451 269s [108] validation_0-logloss:0.00449 269s [109] validation_0-logloss:0.00448 269s [110] validation_0-logloss:0.00446 269s [111] validation_0-logloss:0.00444 269s [112] validation_0-logloss:0.00443 269s [113] validation_0-logloss:0.00441 269s [114] validation_0-logloss:0.00440 269s [115] validation_0-logloss:0.00438 269s [116] validation_0-logloss:0.00437 269s [117] validation_0-logloss:0.00435 269s [118] validation_0-logloss:0.00434 269s [119] validation_0-logloss:0.00433 269s [120] validation_0-logloss:0.00431 269s [121] validation_0-logloss:0.00430 269s [122] validation_0-logloss:0.00429 269s [123] validation_0-logloss:0.00427 269s [124] validation_0-logloss:0.00426 269s [125] validation_0-logloss:0.00425 269s [126] validation_0-logloss:0.00423 269s [127] validation_0-logloss:0.00422 269s [0] validation_0-logloss:0.00421 269s [1] validation_0-logloss:0.00420 269s [2] validation_0-logloss:0.00419 269s [3] validation_0-logloss:0.00417 269s [4] validation_0-logloss:0.00416 269s [5] validation_0-logloss:0.00415 269s [6] validation_0-logloss:0.00414 269s [7] validation_0-logloss:0.00413 269s [8] validation_0-logloss:0.00412 269s [9] validation_0-logloss:0.00411 269s [10] validation_0-logloss:0.00410 269s [11] validation_0-logloss:0.00409 269s [12] validation_0-logloss:0.00408 269s [13] validation_0-logloss:0.00407 269s [14] validation_0-logloss:0.00406 269s [15] validation_0-logloss:0.00405 269s [16] validation_0-logloss:0.00404 269s [17] validation_0-logloss:0.00403 269s [18] validation_0-logloss:0.00402 269s [19] validation_0-logloss:0.00401 269s [20] validation_0-logloss:0.00400 269s [21] validation_0-logloss:0.00399 269s [22] validation_0-logloss:0.00398 269s [23] validation_0-logloss:0.00397 269s [24] validation_0-logloss:0.00396 269s [25] validation_0-logloss:0.00396 269s [26] validation_0-logloss:0.00395 269s [27] validation_0-logloss:0.00394 269s [28] validation_0-logloss:0.00393 269s [29] validation_0-logloss:0.00392 269s [30] validation_0-logloss:0.00391 269s [31] validation_0-logloss:0.00391 269s [32] validation_0-logloss:0.00390 269s [33] validation_0-logloss:0.00389 269s [34] validation_0-logloss:0.00388 269s [35] validation_0-logloss:0.00388 269s [36] validation_0-logloss:0.00387 269s [37] validation_0-logloss:0.00386 269s [38] validation_0-logloss:0.00385 269s [39] validation_0-logloss:0.00385 269s [40] validation_0-logloss:0.00384 269s [41] validation_0-logloss:0.00383 269s [42] validation_0-logloss:0.00383 269s [43] validation_0-logloss:0.00382 269s [44] validation_0-logloss:0.00381 269s [45] validation_0-logloss:0.00381 269s [46] validation_0-logloss:0.00380 269s [47] validation_0-logloss:0.00380 269s [48] validation_0-logloss:0.00379 269s [49] validation_0-logloss:0.00379 269s [50] validation_0-logloss:0.00378 269s [51] validation_0-logloss:0.00378 269s [52] validation_0-logloss:0.00377 269s [53] validation_0-logloss:0.00377 269s [54] validation_0-logloss:0.00376 269s [55] validation_0-logloss:0.00376 269s [56] validation_0-logloss:0.00375 269s [57] validation_0-logloss:0.00375 269s [58] validation_0-logloss:0.00374 269s [59] validation_0-logloss:0.00374 269s [60] validation_0-logloss:0.00373 269s [61] validation_0-logloss:0.00373 269s [62] validation_0-logloss:0.00373 269s [63] validation_0-logloss:0.00372 269s [64] validation_0-logloss:0.00372 269s [65] validation_0-logloss:0.00372 269s [66] validation_0-logloss:0.00371 269s [67] validation_0-logloss:0.00371 269s [68] validation_0-logloss:0.00371 269s [69] validation_0-logloss:0.00371 269s [70] validation_0-logloss:0.00371 269s Total boosted rounds: 195 269s [0] validation_0-logloss:0.43281 269s [1] validation_0-logloss:0.30816 269s [2] validation_0-logloss:0.22816 269s [3] validation_0-logloss:0.17470 269s [4] validation_0-logloss:0.13438 269s [5] validation_0-logloss:0.10538 269s [6] validation_0-logloss:0.08467 269s [7] validation_0-logloss:0.06909 269s [8] validation_0-logloss:0.05766 269s [9] validation_0-logloss:0.04842 269s [10] validation_0-logloss:0.04121 269s [11] validation_0-logloss:0.03545 269s [12] validation_0-logloss:0.03077 269s [13] validation_0-logloss:0.02742 269s [14] validation_0-logloss:0.02444 269s [15] validation_0-logloss:0.02208 269s [16] validation_0-logloss:0.01993 269s [17] validation_0-logloss:0.01819 269s [18] validation_0-logloss:0.01676 269s [19] validation_0-logloss:0.01575 269s [20] validation_0-logloss:0.01461 269s [21] validation_0-logloss:0.01383 269s [22] validation_0-logloss:0.01304 269s [23] validation_0-logloss:0.01243 269s [24] validation_0-logloss:0.01179 269s [25] validation_0-logloss:0.01142 269s [26] validation_0-logloss:0.01103 269s [27] validation_0-logloss:0.01066 269s [28] validation_0-logloss:0.01037 269s [29] validation_0-logloss:0.00993 269s [30] validation_0-logloss:0.00966 269s [31] validation_0-logloss:0.00920 269s [32] validation_0-logloss:0.00900 269s [33] validation_0-logloss:0.00876 269s [34] validation_0-logloss:0.00852 269s [35] validation_0-logloss:0.00835 269s [36] validation_0-logloss:0.00810 269s [37] validation_0-logloss:0.00791 269s [38] validation_0-logloss:0.00764 269s [39] validation_0-logloss:0.00753 269s [40] validation_0-logloss:0.00739 269s [41] validation_0-logloss:0.00723 269s [42] validation_0-logloss:0.00706 269s [43] validation_0-logloss:0.00695 269s [44] validation_0-logloss:0.00688 269s [45] validation_0-logloss:0.00671 269s [46] validation_0-logloss:0.00662 269s [47] validation_0-logloss:0.00650 269s [48] validation_0-logloss:0.00637 269s [49] validation_0-logloss:0.00628 269s [50] validation_0-logloss:0.00623 269s [51] validation_0-logloss:0.00618 269s [52] validation_0-logloss:0.00614 269s [53] validation_0-logloss:0.00609 269s [54] validation_0-logloss:0.00600 269s [55] validation_0-logloss:0.00590 269s [56] validation_0-logloss:0.00582 269s [57] validation_0-logloss:0.00578 269s [58] validation_0-logloss:0.00570 269s [59] validation_0-logloss:0.00566 269s [60] validation_0-logloss:0.00563 269s [61] validation_0-logloss:0.00559 269s [62] validation_0-logloss:0.00556 269s [63] validation_0-logloss:0.00553 269s [64] validation_0-logloss:0.00549 269s [65] validation_0-logloss:0.00546 269s [66] validation_0-logloss:0.00543 269s [67] validation_0-logloss:0.00540 269s [68] validation_0-logloss:0.00537 269s [69] 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validation_0-logloss:0.00474 269s [95] validation_0-logloss:0.00472 269s [96] validation_0-logloss:0.00470 269s [97] validation_0-logloss:0.00468 269s [98] validation_0-logloss:0.00466 269s [99] validation_0-logloss:0.00464 269s [100] validation_0-logloss:0.00463 269s [101] validation_0-logloss:0.00461 269s [102] validation_0-logloss:0.00459 269s [103] validation_0-logloss:0.00457 269s [104] validation_0-logloss:0.00456 269s [105] validation_0-logloss:0.00454 269s [106] validation_0-logloss:0.00452 269s [107] validation_0-logloss:0.00451 269s [108] validation_0-logloss:0.00449 269s [109] validation_0-logloss:0.00448 269s [110] validation_0-logloss:0.00446 269s [111] validation_0-logloss:0.00444 269s [112] validation_0-logloss:0.00443 269s [113] validation_0-logloss:0.00441 269s [114] validation_0-logloss:0.00440 269s [115] validation_0-logloss:0.00438 269s [116] validation_0-logloss:0.00437 269s [117] validation_0-logloss:0.00435 269s [118] validation_0-logloss:0.00434 269s [119] validation_0-logloss:0.00433 269s [120] validation_0-logloss:0.00431 269s [121] validation_0-logloss:0.00430 269s [122] validation_0-logloss:0.00429 269s [123] validation_0-logloss:0.00427 269s [124] validation_0-logloss:0.00426 269s [125] validation_0-logloss:0.00425 269s [126] validation_0-logloss:0.00423 269s [127] validation_0-logloss:0.00422 269s Total boosted rounds: 128 269s [0] validation_0-logloss:0.43281 269s [1] validation_0-logloss:0.30816 269s [2] validation_0-logloss:0.22816 269s [3] validation_0-logloss:0.17470 269s [4] validation_0-logloss:0.13438 269s [5] validation_0-logloss:0.10538 269s [6] validation_0-logloss:0.08467 269s [7] validation_0-logloss:0.06909 269s [8] validation_0-logloss:0.05766 269s [9] validation_0-logloss:0.04842 269s [10] validation_0-logloss:0.04121 269s [11] validation_0-logloss:0.03545 269s [12] validation_0-logloss:0.03077 269s [13] validation_0-logloss:0.02742 269s [14] validation_0-logloss:0.02444 269s [15] validation_0-logloss:0.02208 269s [16] validation_0-logloss:0.01993 269s [17] validation_0-logloss:0.01819 269s [18] validation_0-logloss:0.01676 269s [19] validation_0-logloss:0.01575 269s [20] validation_0-logloss:0.01461 269s [21] validation_0-logloss:0.01383 269s [22] validation_0-logloss:0.01304 269s [23] validation_0-logloss:0.01243 269s [24] validation_0-logloss:0.01179 269s [25] validation_0-logloss:0.01142 269s [26] validation_0-logloss:0.01103 269s [27] validation_0-logloss:0.01066 269s [28] validation_0-logloss:0.01037 269s [29] validation_0-logloss:0.00993 269s [30] validation_0-logloss:0.00966 269s [31] validation_0-logloss:0.00920 269s [0] validation_0-logloss:0.00900 269s [1] validation_0-logloss:0.00876 269s [2] validation_0-logloss:0.00852 269s [3] validation_0-logloss:0.00835 269s [4] validation_0-logloss:0.00810 269s [5] validation_0-logloss:0.00791 269s [6] validation_0-logloss:0.00764 269s [7] validation_0-logloss:0.00753 269s [8] validation_0-logloss:0.00739 269s [9] validation_0-logloss:0.00723 269s [10] validation_0-logloss:0.00706 269s [11] validation_0-logloss:0.00695 269s [12] validation_0-logloss:0.00688 269s [13] validation_0-logloss:0.00671 269s [14] validation_0-logloss:0.00662 269s [15] validation_0-logloss:0.00650 269s [16] validation_0-logloss:0.00637 269s [17] validation_0-logloss:0.00628 269s [18] validation_0-logloss:0.00623 269s [19] validation_0-logloss:0.00618 269s [20] validation_0-logloss:0.00614 269s [21] validation_0-logloss:0.00609 269s [22] validation_0-logloss:0.00600 269s [23] validation_0-logloss:0.00590 269s [24] validation_0-logloss:0.00582 269s [25] validation_0-logloss:0.00578 269s [26] validation_0-logloss:0.00570 269s [27] validation_0-logloss:0.00566 269s [28] validation_0-logloss:0.00563 269s [29] validation_0-logloss:0.00559 269s [30] validation_0-logloss:0.00556 269s [31] validation_0-logloss:0.00553 269s [32] validation_0-logloss:0.00549 269s [33] validation_0-logloss:0.00546 269s [34] validation_0-logloss:0.00543 269s [35] validation_0-logloss:0.00540 269s [36] validation_0-logloss:0.00537 269s [37] validation_0-logloss:0.00534 269s [38] validation_0-logloss:0.00531 269s [39] validation_0-logloss:0.00528 269s [40] validation_0-logloss:0.00525 269s [41] validation_0-logloss:0.00523 269s [42] validation_0-logloss:0.00520 269s [43] validation_0-logloss:0.00517 269s [44] validation_0-logloss:0.00515 269s [45] validation_0-logloss:0.00512 269s [46] validation_0-logloss:0.00510 269s [47] validation_0-logloss:0.00507 269s [48] validation_0-logloss:0.00505 269s [49] validation_0-logloss:0.00502 269s [50] validation_0-logloss:0.00500 269s [51] validation_0-logloss:0.00498 269s [52] validation_0-logloss:0.00496 269s [53] validation_0-logloss:0.00493 269s [54] validation_0-logloss:0.00491 269s [55] validation_0-logloss:0.00489 269s [56] validation_0-logloss:0.00486 269s [57] validation_0-logloss:0.00484 269s [58] validation_0-logloss:0.00482 269s [59] validation_0-logloss:0.00480 269s [60] validation_0-logloss:0.00478 269s [61] validation_0-logloss:0.00476 269s [62] validation_0-logloss:0.00474 269s [63] validation_0-logloss:0.00472 269s [64] validation_0-logloss:0.00470 269s [65] validation_0-logloss:0.00468 269s [66] validation_0-logloss:0.00466 269s [67] validation_0-logloss:0.00464 269s [68] validation_0-logloss:0.00463 269s [69] validation_0-logloss:0.00461 269s [70] validation_0-logloss:0.00459 269s [71] validation_0-logloss:0.00457 269s [72] validation_0-logloss:0.00456 269s [73] validation_0-logloss:0.00454 269s [74] validation_0-logloss:0.00452 269s [75] validation_0-logloss:0.00451 269s [76] validation_0-logloss:0.00449 269s [77] validation_0-logloss:0.00448 269s [78] validation_0-logloss:0.00446 269s [79] validation_0-logloss:0.00444 269s [80] validation_0-logloss:0.00443 269s [81] validation_0-logloss:0.00441 269s [82] validation_0-logloss:0.00440 269s [83] validation_0-logloss:0.00438 269s [84] validation_0-logloss:0.00437 269s [85] validation_0-logloss:0.00435 269s [86] validation_0-logloss:0.00434 269s [87] validation_0-logloss:0.00433 269s [88] validation_0-logloss:0.00431 269s [89] validation_0-logloss:0.00430 269s [90] validation_0-logloss:0.00429 269s [91] validation_0-logloss:0.00427 269s [92] validation_0-logloss:0.00426 269s [93] validation_0-logloss:0.00425 269s [94] validation_0-logloss:0.00423 269s [95] validation_0-logloss:0.00422 269s Total boosted rounds: 128 269s [0] validation_0-logloss:0.43281 269s [1] validation_0-logloss:0.30816 269s [2] validation_0-logloss:0.22816 269s [3] validation_0-logloss:0.17470 269s [4] validation_0-logloss:0.13438 269s [5] validation_0-logloss:0.10538 269s [6] validation_0-logloss:0.08467 269s [7] validation_0-logloss:0.06909 269s [8] validation_0-logloss:0.05766 269s [9] validation_0-logloss:0.04842 269s [10] validation_0-logloss:0.04121 269s [11] validation_0-logloss:0.03545 269s [12] validation_0-logloss:0.03077 269s [13] validation_0-logloss:0.02742 269s [14] validation_0-logloss:0.02444 269s [15] validation_0-logloss:0.02208 269s [16] validation_0-logloss:0.01993 269s [17] validation_0-logloss:0.01819 269s [18] validation_0-logloss:0.01676 269s [19] validation_0-logloss:0.01575 269s [20] validation_0-logloss:0.01461 269s [21] validation_0-logloss:0.01383 269s [22] validation_0-logloss:0.01304 269s [23] validation_0-logloss:0.01243 269s [24] validation_0-logloss:0.01179 269s [25] validation_0-logloss:0.01142 269s [26] validation_0-logloss:0.01103 269s [27] validation_0-logloss:0.01066 269s [28] validation_0-logloss:0.01037 269s [29] validation_0-logloss:0.00993 269s [30] validation_0-logloss:0.00966 269s [31] validation_0-logloss:0.00920 269s [32] validation_0-logloss:0.00900 269s [33] validation_0-logloss:0.00876 269s [34] validation_0-logloss:0.00852 269s [35] validation_0-logloss:0.00835 269s [36] validation_0-logloss:0.00810 269s [37] validation_0-logloss:0.00791 269s [38] validation_0-logloss:0.00764 269s [39] validation_0-logloss:0.00753 269s [40] validation_0-logloss:0.00739 269s [41] validation_0-logloss:0.00723 269s [42] validation_0-logloss:0.00706 269s [43] validation_0-logloss:0.00695 269s [44] validation_0-logloss:0.00688 269s [45] validation_0-logloss:0.00671 269s [46] validation_0-logloss:0.00662 269s [47] validation_0-logloss:0.00650 269s [48] validation_0-logloss:0.00637 269s [49] validation_0-logloss:0.00628 269s [50] validation_0-logloss:0.00623 269s [51] validation_0-logloss:0.00618 269s [52] validation_0-logloss:0.00614 269s [53] validation_0-logloss:0.00609 269s [54] validation_0-logloss:0.00600 269s [55] validation_0-logloss:0.00590 269s [56] validation_0-logloss:0.00582 269s [57] validation_0-logloss:0.00578 269s [58] validation_0-logloss:0.00570 269s [59] validation_0-logloss:0.00566 269s [60] validation_0-logloss:0.00563 269s [61] validation_0-logloss:0.00559 269s [62] validation_0-logloss:0.00556 269s [63] validation_0-logloss:0.00553 269s [64] 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validation_0-logloss:0.00484 269s [90] validation_0-logloss:0.00482 269s [91] validation_0-logloss:0.00480 269s [92] validation_0-logloss:0.00478 269s [93] validation_0-logloss:0.00476 269s [94] validation_0-logloss:0.00474 269s [95] validation_0-logloss:0.00472 269s [96] validation_0-logloss:0.00470 269s [97] validation_0-logloss:0.00468 269s [98] validation_0-logloss:0.00466 269s [99] validation_0-logloss:0.00464 269s [100] validation_0-logloss:0.00463 269s [101] validation_0-logloss:0.00461 269s [102] validation_0-logloss:0.00459 269s [103] validation_0-logloss:0.00457 269s [104] validation_0-logloss:0.00456 269s [105] validation_0-logloss:0.00454 269s [106] validation_0-logloss:0.00452 269s [107] validation_0-logloss:0.00451 269s [108] validation_0-logloss:0.00449 269s [109] validation_0-logloss:0.00448 269s [110] validation_0-logloss:0.00446 269s [111] validation_0-logloss:0.00444 269s [112] validation_0-logloss:0.00443 269s [113] validation_0-logloss:0.00441 269s [114] validation_0-logloss:0.00440 269s [115] validation_0-logloss:0.00438 269s [116] validation_0-logloss:0.00437 269s [117] validation_0-logloss:0.00435 269s [118] validation_0-logloss:0.00434 269s [119] validation_0-logloss:0.00433 269s [120] validation_0-logloss:0.00431 269s [121] validation_0-logloss:0.00430 269s [122] validation_0-logloss:0.00429 269s [123] validation_0-logloss:0.00427 269s [124] validation_0-logloss:0.00426 269s [125] validation_0-logloss:0.00425 269s [126] validation_0-logloss:0.00423 269s [127] validation_0-logloss:0.00422 269s Total boosted rounds: 128 269s [0] validation_0-logloss:0.43281 269s [1] validation_0-logloss:0.30816 269s [2] validation_0-logloss:0.22816 269s [3] validation_0-logloss:0.17470 269s [4] validation_0-logloss:0.13438 269s [5] validation_0-logloss:0.10538 269s [6] validation_0-logloss:0.08467 269s [7] validation_0-logloss:0.06909 269s [8] validation_0-logloss:0.05766 269s [9] validation_0-logloss:0.04842 269s [10] validation_0-logloss:0.04121 269s [11] validation_0-logloss:0.03545 269s [12] validation_0-logloss:0.03077 269s [13] validation_0-logloss:0.02742 269s [14] validation_0-logloss:0.02444 269s [15] validation_0-logloss:0.02208 269s [16] validation_0-logloss:0.01993 269s [17] validation_0-logloss:0.01819 269s [18] validation_0-logloss:0.01676 269s [19] validation_0-logloss:0.01575 269s [20] validation_0-logloss:0.01461 269s [21] validation_0-logloss:0.01383 269s [22] validation_0-logloss:0.01304 269s [23] validation_0-logloss:0.01243 269s [24] validation_0-logloss:0.01179 269s [25] validation_0-logloss:0.01142 269s [26] validation_0-logloss:0.01103 269s [27] validation_0-logloss:0.01066 269s [28] validation_0-logloss:0.01037 269s [29] validation_0-logloss:0.00993 269s [30] validation_0-logloss:0.00966 269s [31] validation_0-logloss:0.00920 269s [0] validation_0-logloss:0.00900 269s [1] validation_0-logloss:0.00876 269s [2] validation_0-logloss:0.00852 269s [3] validation_0-logloss:0.00835 269s [4] validation_0-logloss:0.00810 269s [5] validation_0-logloss:0.00791 269s [6] validation_0-logloss:0.00764 269s [7] validation_0-logloss:0.00753 269s [8] validation_0-logloss:0.00739 269s [9] validation_0-logloss:0.00723 269s [10] validation_0-logloss:0.00706 269s [11] validation_0-logloss:0.00695 269s [12] validation_0-logloss:0.00688 269s [13] validation_0-logloss:0.00671 269s [14] validation_0-logloss:0.00662 269s [15] validation_0-logloss:0.00650 269s [16] validation_0-logloss:0.00637 269s [17] validation_0-logloss:0.00628 269s [18] validation_0-logloss:0.00623 269s [19] validation_0-logloss:0.00618 269s [20] validation_0-logloss:0.00614 269s [21] validation_0-logloss:0.00609 269s [22] validation_0-logloss:0.00600 269s [23] validation_0-logloss:0.00590 269s [24] validation_0-logloss:0.00582 269s [25] validation_0-logloss:0.00578 269s [26] validation_0-logloss:0.00570 269s [27] validation_0-logloss:0.00566 269s [28] validation_0-logloss:0.00563 269s [29] validation_0-logloss:0.00559 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validation_0-logloss:0.00489 269s [56] validation_0-logloss:0.00486 269s [57] validation_0-logloss:0.00484 269s [58] validation_0-logloss:0.00482 269s [59] validation_0-logloss:0.00480 269s [60] validation_0-logloss:0.00478 269s [61] validation_0-logloss:0.00476 269s [62] validation_0-logloss:0.00474 269s [63] validation_0-logloss:0.00472 269s [64] validation_0-logloss:0.00470 269s [65] validation_0-logloss:0.00468 269s [66] validation_0-logloss:0.00466 269s [67] validation_0-logloss:0.00464 269s [68] validation_0-logloss:0.00463 269s [69] validation_0-logloss:0.00461 269s [70] validation_0-logloss:0.00459 269s [71] validation_0-logloss:0.00457 269s [72] validation_0-logloss:0.00456 269s [73] validation_0-logloss:0.00454 269s [74] validation_0-logloss:0.00452 269s [75] validation_0-logloss:0.00451 269s [76] validation_0-logloss:0.00449 269s [77] validation_0-logloss:0.00448 269s [78] validation_0-logloss:0.00446 269s [79] validation_0-logloss:0.00444 269s [80] validation_0-logloss:0.00443 269s [81] validation_0-logloss:0.00441 269s [82] validation_0-logloss:0.00440 269s [83] validation_0-logloss:0.00438 269s [84] validation_0-logloss:0.00437 269s [85] validation_0-logloss:0.00435 269s [86] validation_0-logloss:0.00434 269s [87] validation_0-logloss:0.00433 269s [88] validation_0-logloss:0.00431 269s [89] validation_0-logloss:0.00430 269s [90] validation_0-logloss:0.00429 269s [91] validation_0-logloss:0.00427 269s [92] validation_0-logloss:0.00426 269s [93] validation_0-logloss:0.00425 269s [94] validation_0-logloss:0.00423 269s [95] validation_0-logloss:0.00422 269s Total boosted rounds: 128 269s ========================================== 269s Running case cross_validation.py... 270s running cross validation 270s [0] train-error:0.05067+0.00920 test-error:0.05573+0.01589 270s [1] train-error:0.02130+0.00206 test-error:0.02119+0.00365 270s running cross validation, disable standard deviation display 270s [0] train-error:0.05067 test-error:0.05573 270s [1] train-error:0.02130 test-error:0.02119 270s [2] train-error:0.00994 test-error:0.00998 270s [3] train-error:0.01413 test-error:0.01443 270s [4] train-error:0.00599 test-error:0.00630 270s [5] train-error:0.00203 test-error:0.00169 270s [6] train-error:0.00123 test-error:0.00123 270s [7] train-error:0.00123 test-error:0.00123 270s [8] train-error:0.00092 test-error:0.00123 270s [9] train-error:0.00061 test-error:0.00123 270s /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`. 270s warnings.warn( 270s train-error-mean train-error-std test-error-mean test-error-std 270s 0 0.050668 0.009201 0.055732 0.015889 270s 1 0.021303 0.002055 0.021188 0.003653 270s 2 0.009942 0.006076 0.009979 0.004828 270s 3 0.014126 0.001706 0.014433 0.003517 270s 4 0.005988 0.001878 0.006295 0.003123 270s 5 0.002034 0.001469 0.001689 0.000574 270s 6 0.001228 0.000260 0.001228 0.001041 270s running cross validation, with preprocessing function 270s running cross validation, with customized loss function 271s ========================================== 271s Running case custom_rmsle.py... 271s /tmp/autopkgtest.ujOzR1/build.Jq4/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s' 271s :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}` 272s Squared Error 272s [0] dtrain-rmse:682.95908 dtest-rmse:745.95555 272s [1] dtrain-rmse:627.66199 dtest-rmse:751.49583 272s [2] dtrain-rmse:596.74396 dtest-rmse:766.33054 272s [3] dtrain-rmse:555.92371 dtest-rmse:776.92703 272s [4] dtrain-rmse:519.58613 dtest-rmse:789.74145 272s [5] dtrain-rmse:501.26007 dtest-rmse:805.22881 272s [6] dtrain-rmse:453.81757 dtest-rmse:810.70817 272s [7] dtrain-rmse:423.51474 dtest-rmse:822.61798 272s [8] dtrain-rmse:383.34479 dtest-rmse:826.43243 272s [9] dtrain-rmse:371.08179 dtest-rmse:827.23674 272s [10] dtrain-rmse:353.11776 dtest-rmse:828.84174 272s [11] dtrain-rmse:316.42149 dtest-rmse:832.98904 272s [12] dtrain-rmse:300.24359 dtest-rmse:834.90637 272s [13] dtrain-rmse:285.81935 dtest-rmse:836.55001 272s [14] dtrain-rmse:278.47432 dtest-rmse:838.29965 272s [15] dtrain-rmse:266.08310 dtest-rmse:840.16158 272s [16] dtrain-rmse:261.48875 dtest-rmse:841.45332 272s [17] dtrain-rmse:253.15765 dtest-rmse:841.96773 272s [18] dtrain-rmse:246.41335 dtest-rmse:842.26433 272s [19] dtrain-rmse:242.90377 dtest-rmse:843.24280 272s Finished Squared Error in: 0.05214047431945801 272s 272s Squared Log Error 272s [0] dtrain-rmsle:1.31939 dtest-rmsle:1.26056 272s [1] dtrain-rmsle:1.22093 dtest-rmsle:1.16061 272s [2] dtrain-rmsle:1.13670 dtest-rmsle:1.07549 272s [3] dtrain-rmsle:1.06691 dtest-rmsle:1.00568 272s [4] dtrain-rmsle:1.01079 dtest-rmsle:0.95190 272s [5] dtrain-rmsle:0.96709 dtest-rmsle:0.91206 272s [6] dtrain-rmsle:0.93453 dtest-rmsle:0.88458 272s [7] dtrain-rmsle:0.90925 dtest-rmsle:0.86580 272s [8] dtrain-rmsle:0.89139 dtest-rmsle:0.85326 272s [9] dtrain-rmsle:0.87620 dtest-rmsle:0.84621 272s [10] dtrain-rmsle:0.86538 dtest-rmsle:0.84136 272s [11] dtrain-rmsle:0.85715 dtest-rmsle:0.83849 272s [12] dtrain-rmsle:0.84866 dtest-rmsle:0.83767 272s [13] dtrain-rmsle:0.84230 dtest-rmsle:0.83693 272s [14] dtrain-rmsle:0.83639 dtest-rmsle:0.83785 272s [15] dtrain-rmsle:0.83076 dtest-rmsle:0.83853 272s [16] dtrain-rmsle:0.82671 dtest-rmsle:0.83887 272s [17] dtrain-rmsle:0.82297 dtest-rmsle:0.83883 272s [18] dtrain-rmsle:0.81919 dtest-rmsle:0.83945 272s [19] dtrain-rmsle:0.81638 dtest-rmsle:0.83981 272s Finished Squared Log Error in: 0.0441746711730957 272s [0] dtrain-PyRMSLE:1.37154 dtest-PyRMSLE:1.31491 272s [1] dtrain-PyRMSLE:1.26642 dtest-PyRMSLE:1.20792 272s [2] dtrain-PyRMSLE:1.17525 dtest-PyRMSLE:1.11539 272s [3] dtrain-PyRMSLE:1.09848 dtest-PyRMSLE:1.03800 272s [4] dtrain-PyRMSLE:1.03565 dtest-PyRMSLE:0.97673 272s [5] dtrain-PyRMSLE:0.98595 dtest-PyRMSLE:0.93063 272s [6] dtrain-PyRMSLE:0.94774 dtest-PyRMSLE:0.89723 272s [7] dtrain-PyRMSLE:0.91977 dtest-PyRMSLE:0.87448 272s [8] dtrain-PyRMSLE:0.89796 dtest-PyRMSLE:0.85932 272s [9] dtrain-PyRMSLE:0.88141 dtest-PyRMSLE:0.85028 272s [10] dtrain-PyRMSLE:0.86816 dtest-PyRMSLE:0.84450 272s [11] dtrain-PyRMSLE:0.85991 dtest-PyRMSLE:0.84015 272s [12] dtrain-PyRMSLE:0.85120 dtest-PyRMSLE:0.83900 272s [13] dtrain-PyRMSLE:0.84384 dtest-PyRMSLE:0.83775 272s [14] dtrain-PyRMSLE:0.83741 dtest-PyRMSLE:0.83732 272s [15] dtrain-PyRMSLE:0.83253 dtest-PyRMSLE:0.83800 272s [16] dtrain-PyRMSLE:0.82842 dtest-PyRMSLE:0.83827 272s [17] dtrain-PyRMSLE:0.82535 dtest-PyRMSLE:0.83844 272s [18] dtrain-PyRMSLE:0.82169 dtest-PyRMSLE:0.83953 272s [19] dtrain-PyRMSLE:0.81857 dtest-PyRMSLE:0.84046 273s ========================================== 273s Running case custom_softmax.py... 274s /tmp/autopkgtest.ujOzR1/build.Jq4/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.) 274s grad[r, c] = g 274s [0] train-PyMError:0.14000 274s [1] train-PyMError:0.00000 274s [2] train-PyMError:0.01000 274s [3] train-PyMError:0.00000 274s [4] train-PyMError:0.00000 274s [5] train-PyMError:0.00000 274s [6] train-PyMError:0.00000 274s [7] train-PyMError:0.00000 274s [8] train-PyMError:0.00000 274s [9] train-PyMError:0.00000 274s [0] train-merror:0.14000 274s [1] train-merror:0.00000 274s [2] train-merror:0.01000 274s [3] train-merror:0.00000 274s [4] train-merror:0.00000 274s [5] train-merror:0.00000 274s [6] train-merror:0.00000 274s [7] train-merror:0.00000 274s [8] train-merror:0.00000 274s [9] train-merror:0.00000 274s ========================================== 274s Running case evals_result.py... 275s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 275s warnings.warn(msg, FutureWarning) 275s [0] eval-logloss:0.47977 eval-error:0.04283 train-logloss:0.48196 train-error:0.04652 275s [1] eval-logloss:0.35740 eval-error:0.04283 train-logloss:0.35919 train-error:0.04652 275s Access logloss metric directly from evals_result: 275s [0.4797663698279288, 0.35739665886839306] 275s 275s Access metrics through a loop: 275s - eval 275s - logloss 275s - [0.4797663698279288, 0.35739665886839306] 275s - error 275s - [0.04283054003724395, 0.04283054003724395] 275s - train 275s - logloss 275s - [0.4819583435789261, 0.35919429156594646] 275s - error 275s - [0.04652233993551359, 0.04652233993551359] 275s 275s Access complete dictionary: 275s {'eval': OrderedDict({'logloss': [0.4797663698279288, 0.35739665886839306], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.4819583435789261, 0.35919429156594646], 'error': [0.04652233993551359, 0.04652233993551359]})} 276s ========================================== 276s Running case external_memory.py... 277s [0] Train-rmse:170.67905 277s [1] Train-rmse:166.88130 277s [2] Train-rmse:163.67251 277s [3] Train-rmse:160.83024 277s [4] Train-rmse:158.26351 277s [5] Train-rmse:155.91569 277s [6] Train-rmse:153.74380 277s [7] Train-rmse:151.74583 277s [8] Train-rmse:149.92400 277s [9] Train-rmse:148.14658 277s ========================================== 277s Running case feature_weights.py... 278s [0] d-rmse:1.00430 278s [1] d-rmse:0.99638 278s [2] d-rmse:0.98161 278s [3] d-rmse:0.97086 278s [4] d-rmse:0.96269 278s [5] d-rmse:0.94829 278s [6] d-rmse:0.93914 278s [7] d-rmse:0.93187 278s [8] d-rmse:0.92274 278s [9] d-rmse:0.91749 279s ========================================== 279s Skip case gamma_regression.py... 279s ========================================== 279s Running case generalized_linear_model.py... 280s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 280s warnings.warn(msg, FutureWarning) 280s [0] eval-logloss:0.57129 train-logloss:0.56868 280s [1] eval-logloss:0.53003 train-logloss:0.52641 280s [2] eval-logloss:0.51440 train-logloss:0.51040 280s [3] eval-logloss:0.50817 train-logloss:0.50403 280s error=0.118560 280s ========================================== 280s Running case individual_trees.py... 282s ========================================== 282s Skip case learning_to_rank.py... 282s ========================================== 282s Running case multioutput_regression.py... 283s [0] validation_0-rmse:0.29417 283s [1] validation_0-rmse:0.26360 283s [2] validation_0-rmse:0.23619 283s [3] validation_0-rmse:0.22068 283s [4] validation_0-rmse:0.20681 283s [5] validation_0-rmse:0.19295 283s [6] validation_0-rmse:0.17849 283s [7] validation_0-rmse:0.16562 283s [8] validation_0-rmse:0.15492 283s [9] validation_0-rmse:0.14493 283s [10] validation_0-rmse:0.13892 283s [11] validation_0-rmse:0.13172 283s [12] validation_0-rmse:0.12253 283s [13] validation_0-rmse:0.11744 283s [14] validation_0-rmse:0.10981 283s [15] validation_0-rmse:0.10176 283s [16] validation_0-rmse:0.09476 283s [17] 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validation_0-rmse:0.00093 283s [110] validation_0-rmse:0.00091 283s [111] validation_0-rmse:0.00087 283s [112] validation_0-rmse:0.00086 283s [113] validation_0-rmse:0.00084 283s [114] validation_0-rmse:0.00084 283s [115] validation_0-rmse:0.00083 283s [116] validation_0-rmse:0.00083 283s [117] validation_0-rmse:0.00082 283s [118] validation_0-rmse:0.00082 283s [119] validation_0-rmse:0.00081 283s [120] validation_0-rmse:0.00080 283s [121] validation_0-rmse:0.00079 283s [122] validation_0-rmse:0.00079 283s [123] validation_0-rmse:0.00078 283s [124] validation_0-rmse:0.00078 283s [125] validation_0-rmse:0.00077 283s [126] validation_0-rmse:0.00077 283s [127] validation_0-rmse:0.00076 283s [0] Train-rmse:0.28597 Train-PyRMSE:4.04424 283s [1] Train-rmse:0.25494 Train-PyRMSE:3.60534 283s [2] Train-rmse:0.23359 Train-PyRMSE:3.30341 283s [3] Train-rmse:0.21640 Train-PyRMSE:3.06038 283s [4] Train-rmse:0.20574 Train-PyRMSE:2.90962 283s [5] Train-rmse:0.19311 Train-PyRMSE:2.73098 283s [6] 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Train-PyRMSE:0.91694 283s [38] Train-rmse:0.06165 Train-PyRMSE:0.87181 283s [39] Train-rmse:0.05937 Train-PyRMSE:0.83965 283s [40] Train-rmse:0.05873 Train-PyRMSE:0.83051 283s [41] Train-rmse:0.05667 Train-PyRMSE:0.80140 283s [42] Train-rmse:0.05596 Train-PyRMSE:0.79141 283s [43] Train-rmse:0.05416 Train-PyRMSE:0.76589 283s [44] Train-rmse:0.05299 Train-PyRMSE:0.74934 283s [45] Train-rmse:0.05052 Train-PyRMSE:0.71453 283s [46] Train-rmse:0.04922 Train-PyRMSE:0.69609 283s [47] Train-rmse:0.04883 Train-PyRMSE:0.69062 283s [48] Train-rmse:0.04610 Train-PyRMSE:0.65199 283s [49] Train-rmse:0.04417 Train-PyRMSE:0.62469 283s [50] Train-rmse:0.04190 Train-PyRMSE:0.59254 283s [51] Train-rmse:0.04114 Train-PyRMSE:0.58181 283s [52] Train-rmse:0.03957 Train-PyRMSE:0.55954 283s [53] Train-rmse:0.03922 Train-PyRMSE:0.55469 283s [54] Train-rmse:0.03852 Train-PyRMSE:0.54478 283s [55] Train-rmse:0.03717 Train-PyRMSE:0.52562 283s [56] Train-rmse:0.03584 Train-PyRMSE:0.50680 283s [57] Train-rmse:0.03429 Train-PyRMSE:0.48498 283s [58] Train-rmse:0.03400 Train-PyRMSE:0.48083 283s [59] Train-rmse:0.03295 Train-PyRMSE:0.46597 283s [60] Train-rmse:0.03237 Train-PyRMSE:0.45775 283s [61] Train-rmse:0.03091 Train-PyRMSE:0.43707 283s [62] Train-rmse:0.02998 Train-PyRMSE:0.42399 283s [63] Train-rmse:0.02849 Train-PyRMSE:0.40286 283s [64] Train-rmse:0.02729 Train-PyRMSE:0.38595 283s [65] Train-rmse:0.02692 Train-PyRMSE:0.38069 283s [66] Train-rmse:0.02618 Train-PyRMSE:0.37018 283s [67] Train-rmse:0.02588 Train-PyRMSE:0.36600 283s [68] Train-rmse:0.02491 Train-PyRMSE:0.35229 283s [69] Train-rmse:0.02428 Train-PyRMSE:0.34344 283s [70] Train-rmse:0.02398 Train-PyRMSE:0.33907 283s [71] Train-rmse:0.02309 Train-PyRMSE:0.32650 283s [72] Train-rmse:0.02219 Train-PyRMSE:0.31381 283s [73] Train-rmse:0.02094 Train-PyRMSE:0.29616 283s [74] Train-rmse:0.02079 Train-PyRMSE:0.29398 283s [75] Train-rmse:0.02028 Train-PyRMSE:0.28685 283s [76] Train-rmse:0.01931 Train-PyRMSE:0.27311 283s [77] Train-rmse:0.01919 Train-PyRMSE:0.27140 283s [78] Train-rmse:0.01862 Train-PyRMSE:0.26336 283s [79] Train-rmse:0.01743 Train-PyRMSE:0.24652 283s [80] Train-rmse:0.01699 Train-PyRMSE:0.24033 283s [81] Train-rmse:0.01644 Train-PyRMSE:0.23256 283s [82] Train-rmse:0.01565 Train-PyRMSE:0.22127 283s [83] Train-rmse:0.01526 Train-PyRMSE:0.21582 283s [84] Train-rmse:0.01503 Train-PyRMSE:0.21258 283s [85] Train-rmse:0.01450 Train-PyRMSE:0.20508 283s [86] Train-rmse:0.01410 Train-PyRMSE:0.19936 283s [87] Train-rmse:0.01349 Train-PyRMSE:0.19080 283s [88] Train-rmse:0.01288 Train-PyRMSE:0.18211 283s [89] Train-rmse:0.01278 Train-PyRMSE:0.18071 283s [90] Train-rmse:0.01220 Train-PyRMSE:0.17252 283s [91] Train-rmse:0.01179 Train-PyRMSE:0.16679 283s [92] Train-rmse:0.01166 Train-PyRMSE:0.16490 283s [93] Train-rmse:0.01132 Train-PyRMSE:0.16008 283s [94] Train-rmse:0.01088 Train-PyRMSE:0.15388 283s [95] Train-rmse:0.01060 Train-PyRMSE:0.14993 283s [96] Train-rmse:0.01006 Train-PyRMSE:0.14229 283s [97] Train-rmse:0.00998 Train-PyRMSE:0.14109 283s [98] Train-rmse:0.00954 Train-PyRMSE:0.13496 283s [99] Train-rmse:0.00948 Train-PyRMSE:0.13406 283s [100] Train-rmse:0.00926 Train-PyRMSE:0.13098 283s [101] Train-rmse:0.00901 Train-PyRMSE:0.12747 283s [102] Train-rmse:0.00885 Train-PyRMSE:0.12510 283s [103] Train-rmse:0.00847 Train-PyRMSE:0.11979 283s [104] Train-rmse:0.00833 Train-PyRMSE:0.11784 283s [105] Train-rmse:0.00791 Train-PyRMSE:0.11187 283s [106] Train-rmse:0.00787 Train-PyRMSE:0.11125 283s [107] Train-rmse:0.00755 Train-PyRMSE:0.10682 283s [108] Train-rmse:0.00724 Train-PyRMSE:0.10245 283s [109] Train-rmse:0.00705 Train-PyRMSE:0.09976 283s [110] Train-rmse:0.00683 Train-PyRMSE:0.09662 283s [111] Train-rmse:0.00656 Train-PyRMSE:0.09274 283s [112] Train-rmse:0.00641 Train-PyRMSE:0.09058 283s [113] Train-rmse:0.00631 Train-PyRMSE:0.08921 283s [114] Train-rmse:0.00606 Train-PyRMSE:0.08569 283s [115] Train-rmse:0.00583 Train-PyRMSE:0.08241 283s [116] Train-rmse:0.00578 Train-PyRMSE:0.08175 283s [117] Train-rmse:0.00562 Train-PyRMSE:0.07946 283s [118] Train-rmse:0.00553 Train-PyRMSE:0.07818 283s [119] Train-rmse:0.00533 Train-PyRMSE:0.07539 283s [120] Train-rmse:0.00514 Train-PyRMSE:0.07262 283s [121] Train-rmse:0.00510 Train-PyRMSE:0.07211 283s [122] Train-rmse:0.00501 Train-PyRMSE:0.07088 283s [123] Train-rmse:0.00489 Train-PyRMSE:0.06912 283s [124] Train-rmse:0.00475 Train-PyRMSE:0.06722 283s [125] Train-rmse:0.00473 Train-PyRMSE:0.06690 283s [126] Train-rmse:0.00467 Train-PyRMSE:0.06603 283s [127] Train-rmse:0.00443 Train-PyRMSE:0.06259 284s ========================================== 284s Running case predict_first_ntree.py... 284s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 284s warnings.warn(msg, FutureWarning) 284s [0] eval-logloss:0.22646 train-logloss:0.23316 284s [1] eval-logloss:0.13776 train-logloss:0.13654 284s [2] eval-logloss:0.08036 train-logloss:0.08243 285s start testing prediction from first n trees 285s error of ypred1=0.042831 285s error of ypred2=0.006207 285s [0] validation_0-logloss:0.22646 285s [1] validation_0-logloss:0.13776 285s [2] validation_0-logloss:0.08036 285s start testing prediction from first n trees 285s error of ypred1=0.042831 285s error of ypred2=0.006207 285s ========================================== 285s Running case predict_leaf_indices.py... 286s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 286s warnings.warn(msg, FutureWarning) 286s [0] eval-logloss:0.22646 train-logloss:0.23316 286s [1] eval-logloss:0.13776 train-logloss:0.13654 286s [2] eval-logloss:0.08036 train-logloss:0.08243 286s start testing predict the leaf indices 286s (1611, 2, 1, 1) 286s [[[[5.]] 286s 286s [[4.]]] 286s 286s 286s [[[6.]] 286s 286s [[4.]]] 286s 286s 286s [[[5.]] 286s 286s [[4.]]] 286s 286s 286s ... 286s 286s 286s [[[6.]] 286s 286s [[4.]]] 286s 286s 286s [[[4.]] 286s 286s [[3.]]] 286s 286s 286s [[[6.]] 286s 286s [[4.]]]] 286s (1611, 3) 286s ========================================== 286s Skip case quantile_data_iterator.py... 286s ========================================== 286s Running case quantile_regression.py... 287s [0] Train-quantile:1.50159 Test-quantile:1.45489 287s [1] Train-quantile:1.41395 Test-quantile:1.36960 287s [2] Train-quantile:1.33178 Test-quantile:1.28702 287s [3] Train-quantile:1.25429 Test-quantile:1.21133 287s [4] Train-quantile:1.18373 Test-quantile:1.13959 287s [5] Train-quantile:1.11898 Test-quantile:1.07261 287s [6] Train-quantile:1.05770 Test-quantile:1.01264 287s [7] Train-quantile:1.00142 Test-quantile:0.96139 287s [8] Train-quantile:0.94844 Test-quantile:0.91339 287s [9] Train-quantile:0.89917 Test-quantile:0.86934 287s [10] Train-quantile:0.85692 Test-quantile:0.82830 287s [11] Train-quantile:0.81823 Test-quantile:0.79270 287s [12] Train-quantile:0.78400 Test-quantile:0.75817 287s [13] Train-quantile:0.75333 Test-quantile:0.72983 287s [14] Train-quantile:0.72555 Test-quantile:0.70335 287s [15] Train-quantile:0.69885 Test-quantile:0.67960 287s [16] Train-quantile:0.67482 Test-quantile:0.65947 287s [17] Train-quantile:0.65359 Test-quantile:0.64055 287s [18] Train-quantile:0.63363 Test-quantile:0.62346 287s [19] Train-quantile:0.61495 Test-quantile:0.60855 287s [20] Train-quantile:0.59783 Test-quantile:0.59489 287s [21] Train-quantile:0.58197 Test-quantile:0.58130 287s [22] Train-quantile:0.56682 Test-quantile:0.56949 287s [23] Train-quantile:0.55237 Test-quantile:0.55744 287s [24] Train-quantile:0.53809 Test-quantile:0.54622 287s [25] Train-quantile:0.52441 Test-quantile:0.53571 287s [26] Train-quantile:0.51174 Test-quantile:0.52520 287s [27] Train-quantile:0.49974 Test-quantile:0.51546 287s [28] Train-quantile:0.48865 Test-quantile:0.50628 287s [29] Train-quantile:0.47833 Test-quantile:0.49784 287s [30] Train-quantile:0.46895 Test-quantile:0.48966 287s [31] Train-quantile:0.45900 Test-quantile:0.48302 287s [0] Train-rmse:4.32523 Test-rmse:4.63143 287s [1] Train-rmse:4.21367 Test-rmse:4.53399 287s [2] Train-rmse:4.10813 Test-rmse:4.44222 287s [3] Train-rmse:4.00795 Test-rmse:4.35559 287s [4] Train-rmse:3.91314 Test-rmse:4.27507 287s [5] Train-rmse:3.82342 Test-rmse:4.19994 287s [6] Train-rmse:3.73860 Test-rmse:4.12864 287s [7] Train-rmse:3.65855 Test-rmse:4.06333 287s [8] Train-rmse:3.58302 Test-rmse:3.99920 287s [9] Train-rmse:3.51166 Test-rmse:3.94100 287s [10] Train-rmse:3.44443 Test-rmse:3.88581 287s [11] Train-rmse:3.38085 Test-rmse:3.83491 287s [12] Train-rmse:3.32121 Test-rmse:3.78659 287s [13] Train-rmse:3.26491 Test-rmse:3.74137 287s [14] Train-rmse:3.21217 Test-rmse:3.69918 287s [15] Train-rmse:3.16233 Test-rmse:3.66047 287s [16] Train-rmse:3.11625 Test-rmse:3.62292 287s [17] Train-rmse:3.07250 Test-rmse:3.58980 287s [18] Train-rmse:3.03120 Test-rmse:3.55971 287s [19] Train-rmse:2.99260 Test-rmse:3.53039 287s [20] Train-rmse:2.95471 Test-rmse:3.50273 287s [21] Train-rmse:2.92082 Test-rmse:3.47765 287s [22] Train-rmse:2.88707 Test-rmse:3.45409 287s [23] Train-rmse:2.85719 Test-rmse:3.43196 287s [24] Train-rmse:2.82955 Test-rmse:3.41116 287s [25] Train-rmse:2.80145 Test-rmse:3.39262 287s [26] Train-rmse:2.77526 Test-rmse:3.37544 287s [27] Train-rmse:2.75237 Test-rmse:3.35703 287s [28] Train-rmse:2.73071 Test-rmse:3.34065 287s [29] Train-rmse:2.70895 Test-rmse:3.32714 287s [30] Train-rmse:2.69007 Test-rmse:3.31295 287s [31] Train-rmse:2.67125 Test-rmse:3.30119 287s ========================================== 287s Running case sklearn_evals_result.py... 288s [0] validation_0-logloss:0.63169 validation_1-logloss:0.65974 288s [1] validation_0-logloss:0.58449 validation_1-logloss:0.62161 288s Access logloss metric directly from validation_0: 288s [0.6316909282654524, 0.5844871088303626] 288s 288s Access metrics through a loop: 288s - validation_0 288s - logloss 288s - [0.6316909282654524, 0.5844871088303626] 288s - validation_1 288s - logloss 288s - [0.6597448766976595, 0.6216080508381129] 288s 288s Access complete dict: 288s {'validation_0': OrderedDict({'logloss': [0.6316909282654524, 0.5844871088303626]}), 'validation_1': OrderedDict({'logloss': [0.6597448766976595, 0.6216080508381129]})} 288s ========================================== 288s Running case sklearn_examples.py... 292s Zeros and Ones from the Digits dataset: binary classification 292s [[87 0] 292s [ 1 92]] 292s [[91 0] 292s [ 3 86]] 292s Iris: multiclass classification 292s [[19 0 0] 292s [ 1 31 2] 292s [ 0 3 19]] 292s [[31 0 0] 292s [ 0 16 0] 292s [ 0 1 27]] 292s California Housing: regression 292s 0.2310805601814026 292s 0.23533764411819863 292s Parameter optimization 292s Fitting 3 folds for each of 4 candidates, totalling 12 fits 292s 0.6838972456687431 292s {'max_depth': 4, 'n_estimators': 100} 292s Pickling sklearn API models 292s True 292s [0] validation_0-auc:0.99020 292s [1] validation_0-auc:0.99975 292s [2] validation_0-auc:0.99975 292s [3] validation_0-auc:0.99975 292s [4] validation_0-auc:0.99975 292s [5] validation_0-auc:0.99975 292s [6] validation_0-auc:1.00000 292s [7] validation_0-auc:1.00000 292s [8] validation_0-auc:1.00000 292s [9] validation_0-auc:1.00000 292s [10] validation_0-auc:1.00000 292s [11] validation_0-auc:1.00000 292s [12] validation_0-auc:1.00000 292s [13] validation_0-auc:1.00000 292s [14] validation_0-auc:1.00000 292s [15] validation_0-auc:1.00000 292s [16] validation_0-auc:1.00000 293s ========================================== 293s Running case sklearn_parallel.py... 294s Parallel Parameter optimization 294s Fitting 5 folds for each of 9 candidates, totalling 45 fits 300s 0.688555675183378 300s {'max_depth': 4, 'n_estimators': 50} 301s ========================================== 301s Skip case spark_estimator_examples.py... 301s ========================================== 301s Skip case update_process.py... 301s ========================================== 301s All cases passed. 301s /tmp/autopkgtest.ujOzR1/wrapper.sh: Killing leaked background processes: 2715 2716 301s PID TTY STAT TIME COMMAND 301s 2715 ? R 0:00 /usr/bin/python3 -c from joblib.externals.loky.backend.resource_tracker import main; main(3, False) 301s /tmp/autopkgtest.ujOzR1/wrapper.sh: 235: kill: No such process 301s 301s /tmp/autopkgtest.ujOzR1/wrapper.sh: 237: kill: No such process 301s 301s autopkgtest [01:32:28]: test run-demos: -----------------------] 302s autopkgtest [01:32:29]: test run-demos: - - - - - - - - - - results - - - - - - - - - - 302s run-demos PASS 302s autopkgtest [01:32:29]: @@@@@@@@@@@@@@@@@@@@ summary 302s run-demos PASS 321s nova [W] Using flock in prodstack6-arm64 321s flock: timeout while waiting to get lock 321s Creating nova instance adt-plucky-arm64-xgboost-20250316-012726-juju-7f2275-prod-proposed-migration-environment-2-b6ad1b1e-b4bc-4837-a956-9dd053d1eba8 from image adt/ubuntu-plucky-arm64-server-20250315.img (UUID bd6e766c-b51f-4b53-86d6-23aa4d18f524)... 321s nova [W] Timed out waiting for c8babeca-7916-4e17-a9d4-0ccd9fc3cf0f to get deleted.