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Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: sql

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File: /var/www/openml/index.php
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Function: require_once

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Severity: Warning

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Backtrace:

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Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
Task
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 242 Supervised Classification mfeat-factors 308 runs submitted
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308 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 641.6384, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9745, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.2145, scimark_benchmark: 889.3151, usercpu_time_millis: 6450, usercpu_time_millis_testing: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9742, kappa: 0.9713, kb_relative_information_score: 196.8443, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9081, scimark_benchmark: 1318.5526, usercpu_time_millis: 12330, usercpu_time_millis_testing: 10250, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9788, kappa: 0.9764, kb_relative_information_score: 197.3004, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.979, predictive_accuracy: 0.9788, prior_entropy: 3.3219, recall: 0.9788, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9072, scimark_benchmark: 939.449, usercpu_time_millis: 1160, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 638.3591, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.982, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2002, scimark_benchmark: 915.9324, usercpu_time_millis: 16060, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 15990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9651, kappa: 0.9613, kb_relative_information_score: 635.9476, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9674, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2783, scimark_benchmark: 939.449, usercpu_time_millis: 5270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8401, kappa: 0.8213, kb_relative_information_score: 545.7438, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.846, predictive_accuracy: 0.8394, prior_entropy: 3.3219, recall: 0.8394, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5444, scimark_benchmark: 1335.4072, usercpu_time_millis: 1232250, usercpu_time_millis_testing: 5020, usercpu_time_millis_training: 1227230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9682, kappa: 0.9646, kb_relative_information_score: 586.9998, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9687, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.3283, scimark_benchmark: 825.5282, usercpu_time_millis: 2270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8499, kappa: 0.8315, kb_relative_information_score: 555.4243, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8557, predictive_accuracy: 0.8485, prior_entropy: 3.3219, recall: 0.8485, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5803, scimark_benchmark: 1321.527, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8148, kappa: 0.7913, kb_relative_information_score: 521.8696, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8334, predictive_accuracy: 0.8121, prior_entropy: 3.3219, recall: 0.8121, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5715, scimark_benchmark: 1066.7184, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8914, kappa: 0.8787, kb_relative_information_score: 582.0246, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8935, predictive_accuracy: 0.8909, prior_entropy: 3.3219, recall: 0.8909, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.473, scimark_benchmark: 1341.5768, usercpu_time_millis: 4770, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.923, kappa: 0.9141, kb_relative_information_score: 606.6664, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9272, predictive_accuracy: 0.9227, prior_entropy: 3.3219, recall: 0.9227, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4144, scimark_benchmark: 1280.6952, usercpu_time_millis: 4390, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.0328, kappa: 0.0052, kb_relative_information_score: 52.4149, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3057, predictive_accuracy: 0.1197, prior_entropy: 3.3219, recall: 0.1197, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3987, scimark_benchmark: 1368.9272, usercpu_time_millis: 8720, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 6910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.902, kappa: 0.8904, kb_relative_information_score: 590.7748, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9051, predictive_accuracy: 0.9015, prior_entropy: 3.3219, recall: 0.9015, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4589, scimark_benchmark: 1341.2341, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.3557, kappa: 0.2876, kb_relative_information_score: 216.5988, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3742, predictive_accuracy: 0.3576, prior_entropy: 3.3219, recall: 0.3576, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.1948, scimark_benchmark: 1465.2979, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8855, kappa: 0.8721, kb_relative_information_score: 580.5224, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8917, predictive_accuracy: 0.8848, prior_entropy: 3.3219, recall: 0.8848, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.5059, scimark_benchmark: 1028.5889, usercpu_time_millis: 78120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 78110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8976, kappa: 0.8855, kb_relative_information_score: 584.564, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8999, predictive_accuracy: 0.897, prior_entropy: 3.3219, recall: 0.897, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4715, scimark_benchmark: 1066.833, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 36.057, build_memory: 1109285320, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 646.4051, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9806, predictive_accuracy: 0.9803, prior_entropy: 3.3219, recall: 0.9803, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.2092, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 18.951, build_memory: 1194130664, f_measure: 0.9773, kappa: 0.9747, kb_relative_information_score: 644.313, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9774, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.2247, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 9.397, build_memory: 1127287592, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 646.2904, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 3.3219, recall: 0.9803, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2095, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 3.561, build_memory: 324625528, f_measure: 0.9502, kappa: 0.9444, kb_relative_information_score: 624.0607, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9517, predictive_accuracy: 0.95, prior_entropy: 3.3219, recall: 0.95, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3005, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 5.763, build_memory: 1154582504, f_measure: 0.9548, kappa: 0.9495, kb_relative_information_score: 629.8744, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9559, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 5.519, build_memory: 596097208, f_measure: 0.9548, kappa: 0.9495, kb_relative_information_score: 629.8744, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9559, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 5.298, build_memory: 190829296, f_measure: 0.9548, kappa: 0.9495, kb_relative_information_score: 629.8744, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9559, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 5.435, build_memory: 199485984, f_measure: 0.9548, kappa: 0.9495, kb_relative_information_score: 629.8744, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9559, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.023, build_memory: 187003680, f_measure: 0.8423, kappa: 0.8265, kb_relative_information_score: 552.287, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8455, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.038, build_memory: 2460156480, f_measure: 0.8423, kappa: 0.8265, kb_relative_information_score: 552.287, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8455, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.024, build_memory: 2856369608, f_measure: 0.8423, kappa: 0.8265, kb_relative_information_score: 552.287, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8455, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.035, build_memory: 913286512, f_measure: 0.8423, kappa: 0.8265, kb_relative_information_score: 552.287, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8455, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.033, build_memory: 464280144, f_measure: 0.8423, kappa: 0.8265, kb_relative_information_score: 552.287, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8455, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.126, build_memory: 1115843072, f_measure: 0.9728, kappa: 0.9697, kb_relative_information_score: 587.2528, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9734, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3261, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.445, build_memory: 1588862960, f_measure: 0.9728, kappa: 0.9697, kb_relative_information_score: 587.2528, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9734, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3261, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, build_cpu_time: 0.068, build_memory: 30879704, f_measure: 0.0508, kappa: 0.0871, kb_relative_information_score: 149.7393, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0299, predictive_accuracy: 0.1682, prior_entropy: 3.3219, recall: 0.1682, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9661, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, build_cpu_time: 0.068, build_memory: 59812736, f_measure: 0.0508, kappa: 0.0871, kb_relative_information_score: 149.7393, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0299, predictive_accuracy: 0.1682, prior_entropy: 3.3219, recall: 0.1682, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9661, scimark_benchmark: 933.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 38.572, build_memory: 3206803152, f_measure: 0.968, kappa: 0.9646, kb_relative_information_score: 639.5027, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.969, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.251, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 20.638, build_memory: 1397795632, f_measure: 0.9589, kappa: 0.9545, kb_relative_information_score: 636.904, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.96, predictive_accuracy: 0.9591, prior_entropy: 3.3219, recall: 0.9591, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2564, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 1.263, build_memory: 865723616, f_measure: 0.9774, kappa: 0.9747, kb_relative_information_score: 644.6432, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9782, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2209, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.425, build_memory: 796922792, f_measure: 0.9682, kappa: 0.9646, kb_relative_information_score: 586.9998, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9687, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.3283, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, build_cpu_time: 3.156, build_memory: 663156744, f_measure: 0.8825, kappa: 0.8686, kb_relative_information_score: 572.0666, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8866, predictive_accuracy: 0.8818, prior_entropy: 3.3219, recall: 0.8818, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4909, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 0.001, build_memory: 384738120, f_measure: 0.9698, kappa: 0.9663, kb_relative_information_score: 637.232, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9705, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.2586, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 1.622, build_memory: 397783088, f_measure: 0.9742, kappa: 0.9713, kb_relative_information_score: 196.8443, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9081, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 0.763, build_memory: 336403488, f_measure: 0.9788, kappa: 0.9764, kb_relative_information_score: 197.3004, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.979, predictive_accuracy: 0.9788, prior_entropy: 3.3219, recall: 0.9788, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9072, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 72.277, build_memory: 221739160, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 646.481, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9806, predictive_accuracy: 0.9803, prior_entropy: 3.3219, recall: 0.9803, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.206, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, build_cpu_time: 0.122, build_memory: 1001051848, f_measure: 0.0508, kappa: 0.0871, kb_relative_information_score: 149.7393, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0299, predictive_accuracy: 0.1682, prior_entropy: 3.3219, recall: 0.1682, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9661, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, build_cpu_time: 0.124, build_memory: 319229704, f_measure: 0.0508, kappa: 0.0871, kb_relative_information_score: 149.7393, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0299, predictive_accuracy: 0.1682, prior_entropy: 3.3219, recall: 0.1682, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9661, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, build_cpu_time: 0.101, build_memory: 718702248, f_measure: 0.3557, kappa: 0.2876, kb_relative_information_score: 216.5988, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3742, predictive_accuracy: 0.3576, prior_entropy: 3.3219, recall: 0.3576, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.1948, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 235790368, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 5.034, build_memory: 1062166192, f_measure: 0.9834, kappa: 0.9815, kb_relative_information_score: 196.9747, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9055, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 9.364, build_memory: 845598728, f_measure: 0.9833, kappa: 0.9815, kb_relative_information_score: 196.965, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9055, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 19.172, build_memory: 1004335048, f_measure: 0.9833, kappa: 0.9815, kb_relative_information_score: 197.0154, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9054, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 38.575, build_memory: 1262872688, f_measure: 0.9833, kappa: 0.9815, kb_relative_information_score: 197.0047, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9054, scimark_benchmark: 935.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 81.494, build_memory: 1030261264, f_measure: 0.9833, kappa: 0.9815, kb_relative_information_score: 196.9778, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9054, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 21.813, build_memory: 451377240, f_measure: 0.9591, kappa: 0.9545, kb_relative_information_score: 580.8528, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9597, predictive_accuracy: 0.9591, prior_entropy: 3.3219, recall: 0.9591, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3547, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 11.463, build_memory: 337467232, f_measure: 0.9545, kappa: 0.9495, kb_relative_information_score: 580.3684, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.358, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 6.374, build_memory: 1778442592, f_measure: 0.9544, kappa: 0.9495, kb_relative_information_score: 580.4797, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9551, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.3594, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 3.421, build_memory: 2490448784, f_measure: 0.9454, kappa: 0.9393, kb_relative_information_score: 581.0031, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9461, predictive_accuracy: 0.9455, prior_entropy: 3.3219, recall: 0.9455, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.3641, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.452, build_memory: 31984536, f_measure: 0.9577, kappa: 0.9528, kb_relative_information_score: 585.2369, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9586, predictive_accuracy: 0.9576, prior_entropy: 3.3219, recall: 0.9576, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.3491, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 0.807, build_memory: 253555496, f_measure: 0.9652, kappa: 0.9613, kb_relative_information_score: 585.8113, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9659, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.3382, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 0.862, build_memory: 2580395616, f_measure: 0.9652, kappa: 0.9613, kb_relative_information_score: 585.8113, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9659, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.3382, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 2.495, build_memory: 3087918192, f_measure: 0.9713, kappa: 0.968, kb_relative_information_score: 587.6315, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9717, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.326, scimark_benchmark: 917.2088,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs