OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, average_cost: 16.6712, f_measure: 0.759, kappa: 0.016, kb_relative_information_score: -288.5284, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8134, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9951, scimark_benchmark: 1320.0585, total_cost: 665980, usercpu_time_millis: 3433.371, usercpu_time_millis_testing: 22.843, usercpu_time_millis_training: 3410.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, average_cost: 16.7455, f_measure: 0.7573, kappa: 0.0091, kb_relative_information_score: 140.8289, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8147, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1303.5394, total_cost: 668950, usercpu_time_millis: 5542.02, usercpu_time_millis_testing: 24.728, usercpu_time_millis_training: 5517.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5606, average_cost: 16.757, f_measure: 0.757, kappa: 0.0078, kb_relative_information_score: 17.6427, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9977, scimark_benchmark: 1259.2815, total_cost: 669410, usercpu_time_millis: 17701.528, usercpu_time_millis_testing: 28.806, usercpu_time_millis_training: 17672.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, average_cost: 16.7328, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -906.3065, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7899, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9955, scimark_benchmark: 1280.1453, total_cost: 668440, usercpu_time_millis: 12016.069, usercpu_time_millis_testing: 46.338, usercpu_time_millis_training: 11969.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, average_cost: 16.735, f_measure: 0.7575, kappa: 0.0099, kb_relative_information_score: 112.2329, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8037, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9971, scimark_benchmark: 1294.6488, total_cost: 668530, usercpu_time_millis: 10647.479, usercpu_time_millis_testing: 28.773, usercpu_time_millis_training: 10618.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, average_cost: 16.7333, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: 119.1836, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8165, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1322.0532, total_cost: 668460, usercpu_time_millis: 2803.876, usercpu_time_millis_testing: 11.124, usercpu_time_millis_training: 2792.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, average_cost: 16.6987, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -775.9561, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7874, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957, scimark_benchmark: 1266.485, total_cost: 667080, usercpu_time_millis: 11201.197, usercpu_time_millis_testing: 55.604, usercpu_time_millis_training: 11145.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 75.6745, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1315.162, total_cost: 671730, usercpu_time_millis: 3711.594, usercpu_time_millis_testing: 12.276, usercpu_time_millis_training: 3699.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, average_cost: 16.7047, f_measure: 0.7583, kappa: 0.0129, kb_relative_information_score: -694.9104, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.814, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.995, scimark_benchmark: 1294.1136, total_cost: 667320, usercpu_time_millis: 3656.918, usercpu_time_millis_testing: 23.554, usercpu_time_millis_training: 3633.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, average_cost: 16.8371, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 21.0995, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1296.2789, total_cost: 672610, usercpu_time_millis: 2941.865, usercpu_time_millis_testing: 12.502, usercpu_time_millis_training: 2929.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, average_cost: 16.7886, f_measure: 0.7564, kappa: 0.0051, kb_relative_information_score: -3959.4687, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8197, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.9974, scimark_benchmark: 1255.3067, total_cost: 670670, usercpu_time_millis: 3630.472, usercpu_time_millis_testing: 23.531, usercpu_time_millis_training: 3606.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, average_cost: 16.731, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: 108.4007, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8152, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1282.4222, total_cost: 668370, usercpu_time_millis: 2754.148, usercpu_time_millis_testing: 10.756, usercpu_time_millis_training: 2743.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 77.0056, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1280.1558, total_cost: 671730, usercpu_time_millis: 10008.161, usercpu_time_millis_testing: 13.019, usercpu_time_millis_training: 9995.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, average_cost: 16.7788, f_measure: 0.7564, kappa: 0.0052, kb_relative_information_score: -993.0022, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7648, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996, scimark_benchmark: 1280.206, total_cost: 670280, usercpu_time_millis: 14191.617, usercpu_time_millis_testing: 43.016, usercpu_time_millis_training: 14148.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, average_cost: 16.7833, f_measure: 0.7564, kappa: 0.0054, kb_relative_information_score: -891.7354, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1290.7488, total_cost: 670460, usercpu_time_millis: 13338.791, usercpu_time_millis_testing: 36.365, usercpu_time_millis_training: 13302.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, average_cost: 16.7408, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: 138.2895, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8142, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1288.6783, total_cost: 668760, usercpu_time_millis: 5530.513, usercpu_time_millis_testing: 27.303, usercpu_time_millis_training: 5503.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 136.7487, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1280.2025, total_cost: 669120, usercpu_time_millis: 10472.68, usercpu_time_millis_testing: 11.967, usercpu_time_millis_training: 10460.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, average_cost: 16.8126, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 80.487, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1277.6303, total_cost: 671630, usercpu_time_millis: 3105.755, usercpu_time_millis_testing: 12.917, usercpu_time_millis_training: 3092.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 14.7139, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1279.463, total_cost: 672700, usercpu_time_millis: 16260.475, usercpu_time_millis_testing: 11.733, usercpu_time_millis_training: 16248.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, average_cost: 16.7766, f_measure: 0.7566, kappa: 0.0062, kb_relative_information_score: -670.9247, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8183, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1275.0575, total_cost: 670190, usercpu_time_millis: 3448.245, usercpu_time_millis_testing: 22.792, usercpu_time_millis_training: 3425.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, average_cost: 16.8076, f_measure: 0.7559, kappa: 0.0033, kb_relative_information_score: 86.4548, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8305, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991, scimark_benchmark: 1271.5919, total_cost: 671430, usercpu_time_millis: 1884.718, usercpu_time_millis_testing: 13.206, usercpu_time_millis_training: 1871.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, average_cost: 16.74, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: 131.234, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8208, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1302.283, total_cost: 668730, usercpu_time_millis: 8171.847, usercpu_time_millis_testing: 10.753, usercpu_time_millis_training: 8161.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, average_cost: 16.7605, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: 121.6084, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8089, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9968, scimark_benchmark: 1294.0214, total_cost: 669550, usercpu_time_millis: 3673.388, usercpu_time_millis_testing: 11.794, usercpu_time_millis_training: 3661.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, average_cost: 16.7117, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: 136.5762, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8153, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957, scimark_benchmark: 1291.761, total_cost: 667600, usercpu_time_millis: 2449.227, usercpu_time_millis_testing: 11.071, usercpu_time_millis_training: 2438.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5577, average_cost: 16.7813, f_measure: 0.7565, kappa: 0.0055, kb_relative_information_score: 99.6547, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7914, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.9983, scimark_benchmark: 1293.7104, total_cost: 670380, usercpu_time_millis: 17287.95, usercpu_time_millis_testing: 26.509, usercpu_time_millis_training: 17261.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, average_cost: 16.7523, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: 132.349, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1284.3578, total_cost: 669220, usercpu_time_millis: 13130.49, usercpu_time_millis_testing: 10.327, usercpu_time_millis_training: 13120.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 76.06, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1295.3642, total_cost: 671730, usercpu_time_millis: 5384.427, usercpu_time_millis_testing: 12.595, usercpu_time_millis_training: 5371.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, average_cost: 16.6992, f_measure: 0.7583, kappa: 0.0132, kb_relative_information_score: 60.8016, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8047, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1285.6621, total_cost: 667100, usercpu_time_millis: 4410.879, usercpu_time_millis_testing: 23.911, usercpu_time_millis_training: 4386.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, average_cost: 16.7455, f_measure: 0.7573, kappa: 0.0091, kb_relative_information_score: 115.9782, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8147, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1288.4616, total_cost: 668950, usercpu_time_millis: 2442.188, usercpu_time_millis_testing: 9.749, usercpu_time_millis_training: 2432.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, average_cost: 16.7675, f_measure: 0.7568, kappa: 0.007, kb_relative_information_score: 155.3298, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8107, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.997, scimark_benchmark: 1278.3491, total_cost: 669830, usercpu_time_millis: 5778.977, usercpu_time_millis_testing: 23.843, usercpu_time_millis_training: 5755.134,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, average_cost: 16.8126, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 89.9048, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991, scimark_benchmark: 1269.801, total_cost: 671630, usercpu_time_millis: 2292.553, usercpu_time_millis_testing: 12.533, usercpu_time_millis_training: 2280.02,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, average_cost: 15.9435, f_measure: 0.7734, kappa: 0.0772, kb_relative_information_score: -2569.1634, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9629, scimark_benchmark: 1275.1414, total_cost: 636910, usercpu_time_millis: 220.833, usercpu_time_millis_testing: 7.151, usercpu_time_millis_training: 213.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, average_cost: 16.1565, f_measure: 0.7694, kappa: 0.0596, kb_relative_information_score: -3744.0489, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7958, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1284.2315, total_cost: 645420, usercpu_time_millis: 644.474, usercpu_time_millis_testing: 19.61, usercpu_time_millis_training: 624.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, average_cost: 16.3302, f_measure: 0.7661, kappa: 0.0458, kb_relative_information_score: -2891.7754, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1263.0267, total_cost: 652360, usercpu_time_millis: 286.473, usercpu_time_millis_testing: 16.919, usercpu_time_millis_training: 269.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, average_cost: 15.8416, f_measure: 0.7751, kappa: 0.0846, kb_relative_information_score: -3492.086, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1285.7703, total_cost: 632840, usercpu_time_millis: 2067.897, usercpu_time_millis_testing: 34.027, usercpu_time_millis_training: 2033.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, average_cost: 16.0153, f_measure: 0.7717, kappa: 0.0702, kb_relative_information_score: -2761.5093, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7916, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1274.0853, total_cost: 639780, usercpu_time_millis: 81.422, usercpu_time_millis_testing: 2.983, usercpu_time_millis_training: 78.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, average_cost: 16.2401, f_measure: 0.7677, kappa: 0.0527, kb_relative_information_score: -3673.9607, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9637, scimark_benchmark: 1274.1918, total_cost: 648760, usercpu_time_millis: 832.36, usercpu_time_millis_testing: 36.72, usercpu_time_millis_training: 795.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, average_cost: 15.8591, f_measure: 0.7747, kappa: 0.0831, kb_relative_information_score: -3846.6146, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1291.3951, total_cost: 633540, usercpu_time_millis: 324.181, usercpu_time_millis_testing: 5.671, usercpu_time_millis_training: 318.51,

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

OpenML bootcamp

From your own software

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

OpenML APIs