Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142427 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.5539, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0038, root_relative_squared_error: 0.0081, scimark_benchmark: 1723.1153, usercpu_time_millis: 4.904, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 4.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5163, kb_relative_information_score: 0.4143, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1875.4449, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.4527, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0024, root_relative_squared_error: 0.005, scimark_benchmark: 1859.017, usercpu_time_millis: 3.571, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 3.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.5163, kb_relative_information_score: 288.4398, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8825, scimark_benchmark: 1849.069, usercpu_time_millis: 4.337, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 3.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5163, kb_relative_information_score: -0.1656, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1865.5485, usercpu_time_millis: 1.098, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.9303, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0083, root_relative_squared_error: 0.0174, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.58, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 2.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9208, kappa: 0.8291, kb_relative_information_score: 856.0789, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9281, predictive_accuracy: 0.9196, prior_entropy: 0.9313, recall: 0.9196, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6822, scimark_benchmark: 1875.4449, usercpu_time_millis: 1.975, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 1.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1828.6203, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1285, scimark_benchmark: 1875.375, usercpu_time_millis: 4.063, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 3.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1907.9907, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.0486, scimark_benchmark: 1854.2281, usercpu_time_millis: 3.512, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 3.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.5292, kappa: 0.0212, kb_relative_information_score: 331.8915, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7759, predictive_accuracy: 0.6589, prior_entropy: 0.9313, recall: 0.6589, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8692, scimark_benchmark: 1854.8318, usercpu_time_millis: 5.265, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 4.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8065, kappa: 0.5631, kb_relative_information_score: 551.956, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.858, predictive_accuracy: 0.8248, prior_entropy: 0.9313, recall: 0.8248, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7991, scimark_benchmark: 1856.8689, usercpu_time_millis: 4.161, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 3.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1919.1478, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0185, root_relative_squared_error: 0.0388, scimark_benchmark: 1871.668, usercpu_time_millis: 5.071, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 4.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1667.8657, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2442, scimark_benchmark: 1868.5777, usercpu_time_millis: 5.514, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 5.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1871.2888, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.0955, scimark_benchmark: 1861.0812, usercpu_time_millis: 6.362, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 6.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.5163, kb_relative_information_score: -2.7196, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1838.9327, usercpu_time_millis: 0.155, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.7714, kappa: 0.5543, kb_relative_information_score: 624.4256, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8563, predictive_accuracy: 0.7671, prior_entropy: 0.9313, recall: 0.7671, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7858, scimark_benchmark: 1876.7581, usercpu_time_millis: 1.845, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1933.543, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0089, root_relative_squared_error: 0.0187, scimark_benchmark: 1748.234, usercpu_time_millis: 6.816, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 6.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5163, kb_relative_information_score: -1.2707, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1863.7536, usercpu_time_millis: 0.595, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1619.2991, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.2746, scimark_benchmark: 1818.776, usercpu_time_millis: 4.116, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 3.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1927.9026, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0157, root_relative_squared_error: 0.033, scimark_benchmark: 1868.9115, usercpu_time_millis: 2.373, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 2.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.5163, kb_relative_information_score: 0.285, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1867.3423, usercpu_time_millis: 2.306, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 1.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1893.5609, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0746, scimark_benchmark: 1824.5523, usercpu_time_millis: 6.516, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 6.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1784.6178, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.1679, scimark_benchmark: 1835.9096, usercpu_time_millis: 5.569, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 5.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1622.6464, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9313, recall: 0.9959, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.2768, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.906, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 2.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5163, kb_relative_information_score: 0.0431, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1843.5072, usercpu_time_millis: 1.354, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1928.0895, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0131, root_relative_squared_error: 0.0275, scimark_benchmark: 1865.4271, usercpu_time_millis: 13.503, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 13.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.6303, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0017, root_relative_squared_error: 0.0036, scimark_benchmark: 1874.3338, usercpu_time_millis: 9.656, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 9.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1812.4607, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1309, scimark_benchmark: 1859.9431, usercpu_time_millis: 6.547, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 6.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8174, kappa: 0.6285, kb_relative_information_score: 599.4409, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8657, predictive_accuracy: 0.813, prior_entropy: 0.9313, recall: 0.813, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7871, scimark_benchmark: 1866.2833, usercpu_time_millis: 2.456, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 2.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5163, kb_relative_information_score: 0.3074, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1861.1843, usercpu_time_millis: 2.776, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 2.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1528.438, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3351, scimark_benchmark: 1861.5394, usercpu_time_millis: 13.563, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 12.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8742, kappa: 0.7156, kb_relative_information_score: 677.5027, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8966, predictive_accuracy: 0.881, prior_entropy: 0.9313, recall: 0.881, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7454, scimark_benchmark: 1865.8251, usercpu_time_millis: 5.689, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 5.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.929, kappa: 0.8469, kb_relative_information_score: 961.3739, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9367, predictive_accuracy: 0.9279, prior_entropy: 0.9313, recall: 0.9279, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6444, scimark_benchmark: 1870.0988, usercpu_time_millis: 6.032, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 5.716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.9774, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0051, root_relative_squared_error: 0.0108, scimark_benchmark: 1857.9581, usercpu_time_millis: 22.416, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 21.978,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5163, kb_relative_information_score: 0.1048, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1869.5308, usercpu_time_millis: 1.474, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1921.2174, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0177, root_relative_squared_error: 0.0373, scimark_benchmark: 1823.238, usercpu_time_millis: 10.443, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 10.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5163, kb_relative_information_score: -0.0116, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.722, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1912.5342, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0511, scimark_benchmark: 1869.6309, usercpu_time_millis: 13.99, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 13.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9887, kappa: 0.975, kb_relative_information_score: 1272.4003, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9313, recall: 0.9887, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4706, scimark_benchmark: 1873.8757, usercpu_time_millis: 2.365, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 2.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1859.6441, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1059, scimark_benchmark: 1857.9581, usercpu_time_millis: 15.562, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 14.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5163, kb_relative_information_score: 0.0714, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.674, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1930.8071, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0218, scimark_benchmark: 1873.8757, usercpu_time_millis: 1.594, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1875.986, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1064, scimark_benchmark: 1869.5038, usercpu_time_millis: 0.426, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.5163, kb_relative_information_score: 0.054, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1870.557, usercpu_time_millis: 1.316, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1775.2629, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1716, scimark_benchmark: 1867.1999, usercpu_time_millis: 23.482, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 22.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.0511, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0038, root_relative_squared_error: 0.0079, scimark_benchmark: 1861.7123, usercpu_time_millis: 18.926, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 18.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1768.217, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1782, scimark_benchmark: 1869.6888, usercpu_time_millis: 16.122, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 15.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9338, kappa: 0.8519, kb_relative_information_score: 847.7471, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9377, predictive_accuracy: 0.9351, prior_entropy: 0.9313, recall: 0.9351, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.678, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.337, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 2.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1599.9217, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.139, root_relative_squared_error: 0.2921, scimark_benchmark: 1856.415, usercpu_time_millis: 1.203, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1925.5037, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0159, root_relative_squared_error: 0.0333, scimark_benchmark: 1870.557, usercpu_time_millis: 13.725, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 13.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9897, kappa: 0.9772, kb_relative_information_score: 1502.3881, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9313, recall: 0.9897, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.358, scimark_benchmark: 1844.0458, usercpu_time_millis: 0.555, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1891.5692, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0363, root_relative_squared_error: 0.0763, scimark_benchmark: 1863.8182, usercpu_time_millis: 8.667, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 8.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.7621, kappa: 0.538, kb_relative_information_score: 688.5097, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.85, predictive_accuracy: 0.7579, prior_entropy: 0.9313, recall: 0.7579, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7703, scimark_benchmark: 1870.557, usercpu_time_millis: 7.058, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 6.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.3283, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0047, root_relative_squared_error: 0.0099, scimark_benchmark: 1859.4121, usercpu_time_millis: 19.241, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 18.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1913.9586, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0346, scimark_benchmark: 1742.4614, usercpu_time_millis: 20.395, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 19.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1917.3112, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0201, root_relative_squared_error: 0.0422, scimark_benchmark: 1863.0965, usercpu_time_millis: 14.93, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 14.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6536, mean_absolute_error: 0, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0002, root_relative_squared_error: 0.0004, scimark_benchmark: 1871.0879, usercpu_time_millis: 21.114, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 20.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1804.3246, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1387, scimark_benchmark: 1825.5482, usercpu_time_millis: 18.906, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 18.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1925.5833, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0204, root_relative_squared_error: 0.043, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.371, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1872.9635, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.046, root_relative_squared_error: 0.0966, scimark_benchmark: 1872.4216, usercpu_time_millis: 21.15, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 20.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.6298, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.005, root_relative_squared_error: 0.0105, scimark_benchmark: 1872.9496, usercpu_time_millis: 10.043, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 9.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1918.8552, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0526, scimark_benchmark: 1870.557, usercpu_time_millis: 2.595, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 2.522,

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