OpenML
Supervised Classification on kc3

Supervised Classification on kc3

Task 3915 Supervised Classification kc3 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.873, kappa: 0.1198, kb_relative_information_score: -68.972, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8648, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.9302, scimark_benchmark: 1312.0581, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8703, kappa: 0.1089, kb_relative_information_score: -95.7213, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8582, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9414, scimark_benchmark: 1312.0581, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.8676, kappa: 0.0988, kb_relative_information_score: -69.3422, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8533, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.0196, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, f_measure: 0.8541, kappa: 0.12, kb_relative_information_score: -60.7963, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8504, predictive_accuracy: 0.8581, prior_entropy: 0.4551, recall: 0.8581, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.363, root_relative_squared_error: 1.2447, scimark_benchmark: 1064.8317, usercpu_time_millis: 5000, usercpu_time_millis_testing: 5000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.8889, kappa: 0.2799, kb_relative_information_score: -298.0696, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8823, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 1.0504, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0243, scimark_benchmark: 1345.3152, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.8676, kappa: 0.0988, kb_relative_information_score: -69.3422, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8533, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.0196, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.8602, kappa: 0.1654, kb_relative_information_score: -112.2223, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8581, predictive_accuracy: 0.8624, prior_entropy: 0.4551, recall: 0.8624, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.0608, scimark_benchmark: 909.1698, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.8582, kappa: -0.0124, kb_relative_information_score: -54.1308, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8205, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.961, scimark_benchmark: 1311.9814, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.8889, kappa: 0.2799, kb_relative_information_score: -298.0696, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8823, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 1.0504, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0243, scimark_benchmark: 1206.8386, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.8905, kappa: 0.2867, kb_relative_information_score: 45.5902, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8844, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2967, root_relative_squared_error: 1.0173, scimark_benchmark: 1342.4239, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.8764, kappa: 0.1785, kb_relative_information_score: 31.6383, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8664, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.0962, scimark_benchmark: 1337.8643, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.8658, kappa: 0.1691, kb_relative_information_score: -80.1785, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8592, predictive_accuracy: 0.8734, prior_entropy: 0.4551, recall: 0.8734, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.1139, scimark_benchmark: 1352.2099, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.8676, kappa: 0.0988, kb_relative_information_score: -69.3422, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8533, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.0196, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.8889, kappa: 0.2799, kb_relative_information_score: -298.0696, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8823, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 1.0504, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0243, scimark_benchmark: 938.0414, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 1322.4968, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.8963, kappa: 0.2905, kb_relative_information_score: -38.6447, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9019, predictive_accuracy: 0.917, prior_entropy: 0.4551, recall: 0.917, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9485, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6302, f_measure: 0.8408, kappa: 0.1984, kb_relative_information_score: -184.0517, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8668, predictive_accuracy: 0.821, prior_entropy: 0.4551, recall: 0.821, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.4507, scimark_benchmark: 1345.7204, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.8887, kappa: 0.2674, kb_relative_information_score: -30.7698, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8824, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9709, scimark_benchmark: 912.5006, usercpu_time_millis: 470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8608, kappa: 0.0182, kb_relative_information_score: -159.6647, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8376, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.9624, scimark_benchmark: 1313.6093, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.8571, kappa: -0.0162, kb_relative_information_score: -222.7586, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8203, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.965, scimark_benchmark: 1313.6093, usercpu_time_millis: 1360, usercpu_time_millis_testing: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6014, f_measure: 0.875, kappa: 0.2264, kb_relative_information_score: 33.2188, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8692, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3434, root_relative_squared_error: 1.1772, scimark_benchmark: 1346.3935, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 765.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5301, f_measure: 0.8713, kappa: 0.0962, kb_relative_information_score: 110.8154, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.866, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.31, root_relative_squared_error: 1.0627, scimark_benchmark: 1316.8289, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.8889, kappa: 0.2799, kb_relative_information_score: -298.0696, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8823, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 1.0504, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0243, scimark_benchmark: 1321.5205, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.8937, kappa: 0.3007, kb_relative_information_score: 3.9229, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8889, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9675, scimark_benchmark: 1059.8591, usercpu_time_millis: 1080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8873, kappa: 0.2734, kb_relative_information_score: -89.8913, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8805, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9972, scimark_benchmark: 1270.2428, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8605, kappa: 0.0372, kb_relative_information_score: -70.7745, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8401, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.935, scimark_benchmark: 1307.8606, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.8963, kappa: 0.2905, kb_relative_information_score: -38.6447, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9019, predictive_accuracy: 0.917, prior_entropy: 0.4551, recall: 0.917, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9485, scimark_benchmark: 1361.803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.8676, kappa: 0.0988, kb_relative_information_score: -69.3422, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8533, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.0196, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.8567, kappa: 0.2484, kb_relative_information_score: -103.7124, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.8428, prior_entropy: 0.4551, recall: 0.8428, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3917, root_relative_squared_error: 1.3429, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8552, kappa: 0.2444, kb_relative_information_score: -111.6299, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8406, prior_entropy: 0.4551, recall: 0.8406, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.348, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.8887, kappa: 0.2674, kb_relative_information_score: -19.5534, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8824, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9799, scimark_benchmark: 1328.4045, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.875, kappa: 0.2264, kb_relative_information_score: 31.4483, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8692, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.1744, scimark_benchmark: 1340.1351, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.8772, kappa: 0.1373, kb_relative_information_score: -1849.6993, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8814, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 2.74, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.6231, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: 2.9038, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0002, scimark_benchmark: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.8755, kappa: 0.1606, kb_relative_information_score: -112.9421, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8655, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.985, scimark_benchmark: 1370.6464, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.8615, kb_relative_information_score: -231.7215, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.9568, scimark_benchmark: 1307.2114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 934.0566, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.8661, kappa: 0.209, kb_relative_information_score: -26.661, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8654, predictive_accuracy: 0.8668, prior_entropy: 0.4551, recall: 0.8668, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.2538, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.8793, kappa: 0.1903, kb_relative_information_score: -73.393, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8708, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2918, root_relative_squared_error: 1.0004, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.862, kappa: 0.0225, kb_relative_information_score: -14.8867, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8409, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3013, root_relative_squared_error: 1.0329, scimark_benchmark: 1310.8451, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.8701, kappa: 0.1836, kb_relative_information_score: 25.4591, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8623, predictive_accuracy: 0.8799, prior_entropy: 0.4551, recall: 0.8799, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3465, root_relative_squared_error: 1.1881, scimark_benchmark: 1341.5768, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.8644, kappa: 0.0316, kb_relative_information_score: 110.8154, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8538, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.31, root_relative_squared_error: 1.0627, scimark_benchmark: 1313.5005, usercpu_time_millis: 340, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.884, kappa: 0.3037, kb_relative_information_score: -4.2136, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8817, predictive_accuracy: 0.8865, prior_entropy: 0.4551, recall: 0.8865, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.1144, scimark_benchmark: 1358.4523, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.8793, kappa: 0.1903, kb_relative_information_score: 95.296, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8708, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.0865, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.8676, kappa: 0.0988, kb_relative_information_score: 72.0171, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8533, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3271, root_relative_squared_error: 1.1214, scimark_benchmark: 1464.9318, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.8859, kappa: 0.2898, kb_relative_information_score: 8.0239, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8804, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.059, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.8567, kappa: 0.2484, kb_relative_information_score: -230.6916, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.8428, prior_entropy: 0.4551, recall: 0.8428, relative_absolute_error: 1.077, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3833, root_relative_squared_error: 1.3142, scimark_benchmark: 931.2336, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.8552, kappa: 0.2444, kb_relative_information_score: -358.6729, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8406, prior_entropy: 0.4551, recall: 0.8406, relative_absolute_error: 1.2008, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3764, root_relative_squared_error: 1.2905, scimark_benchmark: 945.6434, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.8512, kappa: 0.2237, kb_relative_information_score: -497.9531, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8702, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.3309, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3654, root_relative_squared_error: 1.2526, scimark_benchmark: 941.7954, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.8527, kappa: 0.2275, kb_relative_information_score: -529.4096, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8707, predictive_accuracy: 0.8384, prior_entropy: 0.4551, recall: 0.8384, relative_absolute_error: 1.371, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.2643, scimark_benchmark: 942.3168, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.8527, kappa: 0.2275, kb_relative_information_score: -529.4096, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8707, predictive_accuracy: 0.8384, prior_entropy: 0.4551, recall: 0.8384, relative_absolute_error: 1.371, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.2643, scimark_benchmark: 934.5243, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.8674, kappa: 0.0806, kb_relative_information_score: 93.7835, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8534, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3124, root_relative_squared_error: 1.071, scimark_benchmark: 936.7115, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8717, kappa: 0.1143, kb_relative_information_score: 97.0734, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8612, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.0528, scimark_benchmark: 876.8277, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8717, kappa: 0.1143, kb_relative_information_score: 91.0563, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8612, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.0649, scimark_benchmark: 936.6206, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8744, kappa: 0.1411, kb_relative_information_score: 104.235, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8648, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0429, scimark_benchmark: 934.5243, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8758, kappa: 0.1313, kb_relative_information_score: 109.5707, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3021, root_relative_squared_error: 1.0356, scimark_benchmark: 938.4278, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.8658, kappa: 0.1691, kb_relative_information_score: -80.1205, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8592, predictive_accuracy: 0.8734, prior_entropy: 0.4551, recall: 0.8734, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.1139, scimark_benchmark: 941.7954, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.8794, kappa: 0.2299, kb_relative_information_score: -58.7197, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8715, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0403, scimark_benchmark: 943.2817, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.8701, kappa: 0.1836, kb_relative_information_score: -83.7118, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8623, predictive_accuracy: 0.8799, prior_entropy: 0.4551, recall: 0.8799, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3043, root_relative_squared_error: 1.0433, scimark_benchmark: 911.0478, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8873, kappa: 0.2734, kb_relative_information_score: -89.8913, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8805, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9972, scimark_benchmark: 932.3943, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.8793, kappa: 0.1903, kb_relative_information_score: -103.6647, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8708, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9927, scimark_benchmark: 931.2336, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,

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