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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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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
Line: 337
Function: require_once

OpenML
Task
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 252 Supervised Classification mfeat-zernike 306 runs submitted
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306 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8114, kappa: 0.7927, kb_relative_information_score: 564.2356, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8103, predictive_accuracy: 0.8136, prior_entropy: 3.3219, recall: 0.8136, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.5184, scimark_benchmark: 1324.8395, usercpu_time_millis: 1460, usercpu_time_millis_testing: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.7562, kappa: 0.7356, kb_relative_information_score: 184.1695, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7609, predictive_accuracy: 0.7621, prior_entropy: 3.3219, recall: 0.7621, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9178, scimark_benchmark: 1318.5526, usercpu_time_millis: 12090, usercpu_time_millis_testing: 9290, usercpu_time_millis_training: 2800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8365, kappa: 0.8248, kb_relative_information_score: 190.9847, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8333, predictive_accuracy: 0.8424, prior_entropy: 3.3219, recall: 0.8424, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.9123, scimark_benchmark: 939.449, usercpu_time_millis: 560, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8206, kappa: 0.8063, kb_relative_information_score: 567.6774, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8177, predictive_accuracy: 0.8258, prior_entropy: 3.3219, recall: 0.8258, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.484, scimark_benchmark: 912.5006, usercpu_time_millis: 4820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.7783, kappa: 0.7878, kb_relative_information_score: 528.2346, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8322, predictive_accuracy: 0.8091, prior_entropy: 3.3219, recall: 0.8091, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6513, scimark_benchmark: 939.449, usercpu_time_millis: 2200, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.6555, kappa: 0.6158, kb_relative_information_score: 415.8801, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6594, predictive_accuracy: 0.6545, prior_entropy: 3.3219, recall: 0.6545, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7724, scimark_benchmark: 1309.3173, usercpu_time_millis: 74500, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 73410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7854, kappa: 0.7641, kb_relative_information_score: 478.7653, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.784, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012, scimark_benchmark: 1304.6687, usercpu_time_millis: 1890, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.5918, kappa: 0.5385, kb_relative_information_score: 373.4624, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6029, predictive_accuracy: 0.5848, prior_entropy: 3.3219, recall: 0.5848, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9605, scimark_benchmark: 1307.4861, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.7092, kappa: 0.6768, kb_relative_information_score: 461.2687, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7226, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6635, scimark_benchmark: 1335.4072, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.6667, kappa: 0.6345, kb_relative_information_score: 435.3767, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6893, predictive_accuracy: 0.6712, prior_entropy: 3.3219, recall: 0.6712, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7071, scimark_benchmark: 1346.9602, usercpu_time_millis: 2330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7112, kappa: 0.6933, kb_relative_information_score: 469.6721, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7094, predictive_accuracy: 0.7242, prior_entropy: 3.3219, recall: 0.7242, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.7828, scimark_benchmark: 1372.2145, usercpu_time_millis: 1470, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 710,
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: 1384.4418, usercpu_time_millis: 1930, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.7246, kappa: 0.712, kb_relative_information_score: 497.9785, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7277, predictive_accuracy: 0.7409, prior_entropy: 3.3219, recall: 0.7409, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6908, scimark_benchmark: 1341.2341, usercpu_time_millis: 840, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.2757, kappa: 0.2083, kb_relative_information_score: 167.4482, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2789, predictive_accuracy: 0.2864, prior_entropy: 3.3219, recall: 0.2864, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.2593, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.694, kappa: 0.6632, kb_relative_information_score: 450.8485, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6962, predictive_accuracy: 0.697, prior_entropy: 3.3219, recall: 0.697, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.8206, scimark_benchmark: 1028.5889, usercpu_time_millis: 37840, usercpu_time_millis_training: 37840,
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: 0.8916, f_measure: 0.7034, kappa: 0.6883, kb_relative_information_score: 490.1239, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.699, predictive_accuracy: 0.7197, prior_entropy: 3.3219, recall: 0.7197, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7001, scimark_benchmark: 1054.3694, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, build_cpu_time: 3.154, build_memory: 113926632, f_measure: 0.8339, kappa: 0.8197, kb_relative_information_score: 540.7789, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8318, predictive_accuracy: 0.8379, prior_entropy: 3.3219, recall: 0.8379, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5065, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, build_cpu_time: 3.057, build_memory: 693335456, f_measure: 0.8339, kappa: 0.8197, kb_relative_information_score: 540.7789, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8318, predictive_accuracy: 0.8379, prior_entropy: 3.3219, recall: 0.8379, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5065, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, build_cpu_time: 3.034, build_memory: 474960672, f_measure: 0.8339, kappa: 0.8197, kb_relative_information_score: 540.7789, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8318, predictive_accuracy: 0.8379, prior_entropy: 3.3219, recall: 0.8379, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5065, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, build_cpu_time: 3.064, build_memory: 723999776, f_measure: 0.8339, kappa: 0.8197, kb_relative_information_score: 540.7789, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8318, predictive_accuracy: 0.8379, prior_entropy: 3.3219, recall: 0.8379, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5065, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, build_cpu_time: 3.177, build_memory: 1054194000, f_measure: 0.8339, kappa: 0.8197, kb_relative_information_score: 540.7789, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8318, predictive_accuracy: 0.8379, prior_entropy: 3.3219, recall: 0.8379, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5065, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, build_cpu_time: 2.202, build_memory: 389413192, f_measure: 0.7927, kappa: 0.7692, kb_relative_information_score: 502.6069, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7946, predictive_accuracy: 0.7924, prior_entropy: 3.3219, recall: 0.7924, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5738, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 3.049, build_memory: 89335504, f_measure: 0.7948, kappa: 0.7708, kb_relative_information_score: 522.1733, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7963, predictive_accuracy: 0.7939, prior_entropy: 3.3219, recall: 0.7939, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5659, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 2.951, build_memory: 116650920, f_measure: 0.7948, kappa: 0.7708, kb_relative_information_score: 522.1733, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7963, predictive_accuracy: 0.7939, prior_entropy: 3.3219, recall: 0.7939, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5659, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 3.2, build_memory: 341747968, f_measure: 0.7948, kappa: 0.7708, kb_relative_information_score: 522.1733, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7963, predictive_accuracy: 0.7939, prior_entropy: 3.3219, recall: 0.7939, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5659, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 3.163, build_memory: 74594904, f_measure: 0.7948, kappa: 0.7708, kb_relative_information_score: 522.1733, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7963, predictive_accuracy: 0.7939, prior_entropy: 3.3219, recall: 0.7939, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5659, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, build_cpu_time: 0.039, build_memory: 148163880, f_measure: 0.6495, kappa: 0.6025, kb_relative_information_score: 413.2012, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6627, predictive_accuracy: 0.6424, prior_entropy: 3.3219, recall: 0.6424, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.8914, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, build_cpu_time: 0.042, build_memory: 1995104880, f_measure: 0.6495, kappa: 0.6025, kb_relative_information_score: 413.2012, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6627, predictive_accuracy: 0.6424, prior_entropy: 3.3219, recall: 0.6424, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.8914, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, build_cpu_time: 0.038, build_memory: 524555624, f_measure: 0.6495, kappa: 0.6025, kb_relative_information_score: 413.2012, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6627, predictive_accuracy: 0.6424, prior_entropy: 3.3219, recall: 0.6424, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.8914, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, build_cpu_time: 0.035, build_memory: 180768872, f_measure: 0.6495, kappa: 0.6025, kb_relative_information_score: 413.2012, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6627, predictive_accuracy: 0.6424, prior_entropy: 3.3219, recall: 0.6424, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.8914, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, build_cpu_time: 1.276, build_memory: 1473673464, f_measure: 0.7918, kappa: 0.7726, kb_relative_information_score: 476.2863, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7895, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6069, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 0.038, build_memory: 45971056, f_measure: 0.0571, kappa: 0.0954, kb_relative_information_score: 122.1246, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0339, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9709, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 0.042, build_memory: 97842952, f_measure: 0.0571, kappa: 0.0954, kb_relative_information_score: 122.1246, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0339, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9709, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, build_cpu_time: 37.067, build_memory: 1837495384, f_measure: 0.8097, kappa: 0.7894, kb_relative_information_score: 531.3935, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8108, predictive_accuracy: 0.8106, prior_entropy: 3.3219, recall: 0.8106, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6315, scimark_benchmark: 919.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, build_cpu_time: 18.623, build_memory: 660712376, f_measure: 0.7798, kappa: 0.7557, kb_relative_information_score: 519.0118, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7806, predictive_accuracy: 0.7803, prior_entropy: 3.3219, recall: 0.7803, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 939.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, build_cpu_time: 0.06, build_memory: 983054152, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, build_cpu_time: 1.328, build_memory: 1282595952, f_measure: 0.7854, kappa: 0.7641, kb_relative_information_score: 478.7653, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.784, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, build_cpu_time: 1.414, build_memory: 1166332680, f_measure: 0.7136, kappa: 0.682, kb_relative_information_score: 468.0363, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7269, predictive_accuracy: 0.7136, prior_entropy: 3.3219, recall: 0.7136, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.6785, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, build_cpu_time: 0.002, build_memory: 108601584, f_measure: 0.8084, kappa: 0.786, kb_relative_information_score: 525.6811, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8106, predictive_accuracy: 0.8076, prior_entropy: 3.3219, recall: 0.8076, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6515, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 1.42, build_memory: 311058264, f_measure: 0.7601, kappa: 0.739, kb_relative_information_score: 184.2629, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7644, predictive_accuracy: 0.7652, prior_entropy: 3.3219, recall: 0.7652, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9178, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, build_cpu_time: 0.503, build_memory: 697228360, f_measure: 0.8365, kappa: 0.8248, kb_relative_information_score: 190.9847, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8333, predictive_accuracy: 0.8424, prior_entropy: 3.3219, recall: 0.8424, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.9123, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, build_cpu_time: 74.008, build_memory: 404190560, f_measure: 0.769, kappa: 0.744, kb_relative_information_score: 524.0946, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7705, predictive_accuracy: 0.7697, prior_entropy: 3.3219, recall: 0.7697, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6429, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 0.883, build_memory: 1553268248, f_measure: 0.7767, kappa: 0.7541, kb_relative_information_score: 492.994, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7793, predictive_accuracy: 0.7788, prior_entropy: 3.3219, recall: 0.7788, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5794, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 0.891, build_memory: 1275573312, f_measure: 0.7767, kappa: 0.7541, kb_relative_information_score: 492.994, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7793, predictive_accuracy: 0.7788, prior_entropy: 3.3219, recall: 0.7788, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5794, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 0.043, build_memory: 368285232, f_measure: 0.0571, kappa: 0.0954, kb_relative_information_score: 122.1246, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0339, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9709, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 0.044, build_memory: 710007400, f_measure: 0.0571, kappa: 0.0954, kb_relative_information_score: 122.1246, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0339, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9709, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 186233616, 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: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 987892704, 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: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 409930896, 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: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, build_cpu_time: 0.023, build_memory: 105466448, f_measure: 0.7206, kappa: 0.69, kb_relative_information_score: 494.6284, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7253, predictive_accuracy: 0.7212, prior_entropy: 3.3219, recall: 0.7212, relative_absolute_error: 0.2968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.6891, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, build_cpu_time: 3.012, build_memory: 572632560, f_measure: 0.8365, kappa: 0.8231, kb_relative_information_score: 190.2073, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8351, predictive_accuracy: 0.8409, prior_entropy: 3.3219, recall: 0.8409, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9115, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, build_cpu_time: 6.65, build_memory: 1019933848, f_measure: 0.838, kappa: 0.8248, kb_relative_information_score: 190.1283, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8356, predictive_accuracy: 0.8424, prior_entropy: 3.3219, recall: 0.8424, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9114, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, build_cpu_time: 12.771, build_memory: 1301969560, f_measure: 0.8355, kappa: 0.8214, kb_relative_information_score: 190.1444, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.833, predictive_accuracy: 0.8394, prior_entropy: 3.3219, recall: 0.8394, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9114, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 24.732, build_memory: 678535704, f_measure: 0.8357, kappa: 0.8214, kb_relative_information_score: 190.197, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8329, predictive_accuracy: 0.8394, prior_entropy: 3.3219, recall: 0.8394, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9113, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 25.498, build_memory: 392393016, f_measure: 0.8357, kappa: 0.8214, kb_relative_information_score: 190.197, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8329, predictive_accuracy: 0.8394, prior_entropy: 3.3219, recall: 0.8394, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9113, scimark_benchmark: 936.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, build_cpu_time: 61.038, build_memory: 1247821368, f_measure: 0.8341, kappa: 0.8197, kb_relative_information_score: 190.1748, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8313, predictive_accuracy: 0.8379, prior_entropy: 3.3219, recall: 0.8379, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9113, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, build_cpu_time: 5.64, build_memory: 342988360, f_measure: 0.78, kappa: 0.7591, kb_relative_information_score: 491.3504, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7799, predictive_accuracy: 0.7833, prior_entropy: 3.3219, recall: 0.7833, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5732, scimark_benchmark: 945.7067,

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