Task
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: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 459.232, usercpu_time_millis_testing: 2.369, usercpu_time_millis_training: 456.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 21.003, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 20.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, average_cost: 16.719, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: 10915.9476, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8151, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.094, total_cost: 667890, usercpu_time_millis: 6.981, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 6.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, average_cost: 16.2862, f_measure: 0.7558, kappa: 0.0172, kb_relative_information_score: 6394.1443, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.728, predictive_accuracy: 0.8063, prior_entropy: 0.6541, recall: 0.8063, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4401, root_relative_squared_error: 1.1761, total_cost: 650600, usercpu_time_millis: 86.365, usercpu_time_millis_testing: 1.515, usercpu_time_millis_training: 84.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, average_cost: 16.557, f_measure: 0.7614, kappa: 0.0261, kb_relative_information_score: 11028.6675, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.0919, total_cost: 661420, usercpu_time_millis: 75.515, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 74.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, average_cost: 16.0917, f_measure: 0.7702, kappa: 0.0637, kb_relative_information_score: 11050.3444, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7895, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.0915, total_cost: 642830, usercpu_time_millis: 7.399, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 7.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 11.898, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 11.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 19.277, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 19.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 10781.5508, mean_absolute_error: 0.1684, 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: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0965, total_cost: 672700, usercpu_time_millis: 24.444, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 24.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 10781.5508, mean_absolute_error: 0.1684, 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: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0965, total_cost: 672700, usercpu_time_millis: 10.388, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 9.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, average_cost: 16.0972, f_measure: 0.7703, kappa: 0.0638, kb_relative_information_score: 11111.0398, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.792, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.408, root_relative_squared_error: 1.0903, total_cost: 643050, usercpu_time_millis: 21.795, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 21.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, average_cost: 16.8254, f_measure: 0.7554, kappa: 0.001, kb_relative_information_score: 10712.1847, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7375, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4108, root_relative_squared_error: 1.0978, total_cost: 672140, usercpu_time_millis: 12.295, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 11.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, average_cost: 15.0804, f_measure: 0.7693, kappa: 0.093, kb_relative_information_score: 5622.4463, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8018, prior_entropy: 0.6541, recall: 0.8018, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4452, root_relative_squared_error: 1.1896, total_cost: 602430, usercpu_time_millis: 23.746, usercpu_time_millis_testing: 23.623, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, average_cost: 14.3191, f_measure: 0.741, kappa: 0.0725, kb_relative_information_score: -4760.7932, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7402, predictive_accuracy: 0.7419, prior_entropy: 0.6541, recall: 0.7419, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.3576, total_cost: 572020, usercpu_time_millis: 1886.116, usercpu_time_millis_testing: 183.29, usercpu_time_millis_training: 1702.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, average_cost: 16.8376, f_measure: 0.7552, kappa: 0.0003, kb_relative_information_score: 10772.88, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7589, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0967, total_cost: 672630, usercpu_time_millis: 3.031, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 2.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, average_cost: 16.7478, f_measure: 0.7573, kappa: 0.0089, kb_relative_information_score: 10885.5999, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8161, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4096, root_relative_squared_error: 1.0946, total_cost: 669040, usercpu_time_millis: 1.559, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, average_cost: 16.719, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: 10915.9476, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8151, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.094, total_cost: 667890, usercpu_time_millis: 8.481, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 8.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, average_cost: 16.7696, f_measure: 0.7568, kappa: 0.0068, kb_relative_information_score: 10859.5876, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8152, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.095, total_cost: 669910, usercpu_time_millis: 259.819, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 259.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, average_cost: 16.7663, f_measure: 0.7556, kappa: 0.0024, kb_relative_information_score: 10135.5789, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7257, predictive_accuracy: 0.8279, prior_entropy: 0.6541, recall: 0.8279, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.1086, total_cost: 669780, usercpu_time_millis: 809.5, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 809.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 723.888, usercpu_time_millis_testing: 36.461, usercpu_time_millis_training: 687.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, average_cost: 16.7403, f_measure: 0.7575, kappa: 0.0096, kb_relative_information_score: 10898.6061, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8185, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4095, root_relative_squared_error: 1.0943, total_cost: 668740, usercpu_time_millis: 35.894, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 35.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, average_cost: 16.3493, f_measure: 0.7617, kappa: 0.031, kb_relative_information_score: 9320.5271, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7448, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4205, root_relative_squared_error: 1.1236, total_cost: 653120, usercpu_time_millis: 19.926, usercpu_time_millis_testing: 17.882, usercpu_time_millis_training: 2.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 11.305, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 11.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 4.859, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 8.021, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 7.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, average_cost: 16.7816, f_measure: 0.7565, kappa: 0.0057, kb_relative_information_score: 10846.5815, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8158, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4099, root_relative_squared_error: 1.0953, total_cost: 670390, usercpu_time_millis: 6185.613, usercpu_time_millis_testing: 50.923, usercpu_time_millis_training: 6134.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, average_cost: 15.8083, f_measure: 0.7735, kappa: 0.0804, kb_relative_information_score: 10456.3971, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7759, predictive_accuracy: 0.8297, prior_entropy: 0.6541, recall: 0.8297, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.1026, total_cost: 631510, usercpu_time_millis: 4.368, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 3.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966, total_cost: 672800, usercpu_time_millis: 21.91, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 21.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, average_cost: 16.2381, f_measure: 0.7675, kappa: 0.0519, kb_relative_information_score: 11011.326, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7893, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.0922, total_cost: 648680, usercpu_time_millis: 60.546, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 60.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, average_cost: 16.33, f_measure: 0.7629, kappa: 0.0351, kb_relative_information_score: 9693.3699, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7507, predictive_accuracy: 0.8253, prior_entropy: 0.6541, recall: 0.8253, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.1168, total_cost: 652350, usercpu_time_millis: 3.121, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 2.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, average_cost: 16.7863, f_measure: 0.7564, kappa: 0.0053, kb_relative_information_score: 10842.2461, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8169, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4099, root_relative_squared_error: 1.0954, total_cost: 670580, usercpu_time_millis: 26.74, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 26.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, average_cost: 15.4408, f_measure: 0.779, kappa: 0.1059, kb_relative_information_score: 10382.6956, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7788, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4132, root_relative_squared_error: 1.104, total_cost: 616830, usercpu_time_millis: 555.609, usercpu_time_millis_testing: 6.741, usercpu_time_millis_training: 548.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, average_cost: 16.8189, f_measure: 0.7556, kappa: 0.0021, kb_relative_information_score: 10785.8861, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.0964, total_cost: 671880, usercpu_time_millis: 5172.336, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 5171.694,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, average_cost: 15.6759, f_measure: 0.7776, kappa: 0.096, kb_relative_information_score: -4087.7803, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7919, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, total_cost: 626220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, average_cost: 15.8136, f_measure: 0.7753, kappa: 0.0859, kb_relative_information_score: -3538.9072, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, total_cost: 631720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, average_cost: 15.9773, f_measure: 0.773, kappa: 0.0749, kb_relative_information_score: -3517.8348, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, total_cost: 638260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, average_cost: 16.3247, f_measure: 0.7663, kappa: 0.0464, kb_relative_information_score: -3008.9716, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8024, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, total_cost: 652140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, average_cost: 16.7225, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -1884.9616, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8254, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, total_cost: 668030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, average_cost: 15.8561, f_measure: 0.7745, kappa: 0.0824, kb_relative_information_score: -3921.2491, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7915, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, total_cost: 633420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, average_cost: 16.3447, f_measure: 0.7658, kappa: 0.0445, kb_relative_information_score: -2942.5002, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, total_cost: 652940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, average_cost: 16.0529, f_measure: 0.7715, kappa: 0.0686, kb_relative_information_score: -3665.0413, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, total_cost: 641280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, average_cost: 15.3487, f_measure: 0.7787, kappa: 0.1076, kb_relative_information_score: -4073.9841, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7733, predictive_accuracy: 0.8261, prior_entropy: 0.6541, recall: 0.8261, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9849, total_cost: 613150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, average_cost: 15.9157, f_measure: 0.7734, kappa: 0.0775, kb_relative_information_score: -4359.655, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7901, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9733, total_cost: 635800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, average_cost: 15.0043, f_measure: 0.7678, kappa: 0.0924, kb_relative_information_score: -7881.2468, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7503, predictive_accuracy: 0.7975, prior_entropy: 0.6541, recall: 0.7975, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.1028, total_cost: 599390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, average_cost: 15.982, f_measure: 0.7728, kappa: 0.0742, kb_relative_information_score: -2620.6177, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, total_cost: 638450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, average_cost: 16.35, f_measure: 0.7656, kappa: 0.0437, kb_relative_information_score: -3203.9769, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, total_cost: 653150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, average_cost: 15.541, f_measure: 0.778, kappa: 0.1004, kb_relative_information_score: -3944.2861, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7804, predictive_accuracy: 0.8303, prior_entropy: 0.6541, recall: 0.8303, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9769, total_cost: 620830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, average_cost: 15.5214, f_measure: 0.7772, kappa: 0.0988, kb_relative_information_score: -4705.8455, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7754, predictive_accuracy: 0.8282, prior_entropy: 0.6541, recall: 0.8282, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9889, total_cost: 620050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, average_cost: 16.7615, f_measure: 0.757, kappa: 0.0077, kb_relative_information_score: -2055.9883, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8244, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, total_cost: 669590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, average_cost: 15.98, f_measure: 0.7724, kappa: 0.0731, kb_relative_information_score: -3903.2193, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, total_cost: 638370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, average_cost: 15.0904, f_measure: 0.7773, kappa: 0.1116, kb_relative_information_score: -4954.6781, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7641, predictive_accuracy: 0.8168, prior_entropy: 0.6541, recall: 0.8168, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3775, root_relative_squared_error: 1.0088, total_cost: 602830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, average_cost: 15.797, f_measure: 0.7748, kappa: 0.0846, kb_relative_information_score: -2862.3664, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7847, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9693, total_cost: 631060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, average_cost: 16.2121, f_measure: 0.7685, kappa: 0.056, kb_relative_information_score: -2933.1852, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.961, total_cost: 647640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, average_cost: 16.708, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -1837.4654, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8248, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, total_cost: 667450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, average_cost: 15.5184, f_measure: 0.7787, kappa: 0.1033, kb_relative_information_score: -3815.2225, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7831, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9756, total_cost: 619930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, average_cost: 15.6231, f_measure: 0.7776, kappa: 0.0973, kb_relative_information_score: -3653.6066, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7856, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9722, total_cost: 624110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, average_cost: 15.8646, f_measure: 0.7747, kappa: 0.0828, kb_relative_information_score: -3512.5341, 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: 0.3613, root_relative_squared_error: 0.9654, total_cost: 633760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, total_cost: 672800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, total_cost: 672800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, total_cost: 672800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, total_cost: 672800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, total_cost: 672800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, total_cost: 672800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, total_cost: 672800,

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

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