OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7551, kb_relative_information_score: -2412.4721, mean_absolute_error: 0.2689, 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: 0.9601, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9726, scimark_benchmark: 1833.7788, usercpu_time_millis: 57.58, usercpu_time_millis_testing: 2.96, usercpu_time_millis_training: 54.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7563, kappa: 0.0049, kb_relative_information_score: -3126.1936, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8077, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9749, scimark_benchmark: 1784.7437, usercpu_time_millis: 116.662, usercpu_time_millis_testing: 5.348, usercpu_time_millis_training: 111.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -21.0252, mean_absolute_error: 0.2802, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1827.0198, usercpu_time_millis: 90.141, usercpu_time_millis_testing: 8.738, usercpu_time_millis_training: 81.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7551, kb_relative_information_score: -1983.323, mean_absolute_error: 0.2702, 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: 0.9645, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9739, scimark_benchmark: 1812.8084, usercpu_time_millis: 101.923, usercpu_time_millis_testing: 7.154, usercpu_time_millis_training: 94.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.7551, kb_relative_information_score: -2649.3984, mean_absolute_error: 0.2708, 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: 0.9666, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.977, scimark_benchmark: 1792.057, usercpu_time_millis: 109.017, usercpu_time_millis_testing: 7.3, usercpu_time_millis_training: 101.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -1.9629, 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, scimark_benchmark: 1807.8099, usercpu_time_millis: 26.807, usercpu_time_millis_testing: 3.68, usercpu_time_millis_training: 23.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.7551, kb_relative_information_score: -2563.8981, mean_absolute_error: 0.2659, 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: 0.9491, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1801.798, usercpu_time_millis: 39.427, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 38.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -21.2285, mean_absolute_error: 0.2802, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1832.4342, usercpu_time_millis: 91.483, usercpu_time_millis_testing: 8.789, usercpu_time_millis_training: 82.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.7551, kb_relative_information_score: -2596.1192, mean_absolute_error: 0.2668, 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: 0.9526, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1818.6485, usercpu_time_millis: 82.551, usercpu_time_millis_testing: 3.152, usercpu_time_millis_training: 79.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7581, kappa: 0.0121, kb_relative_information_score: -1802.9864, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8271, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1809.2646, usercpu_time_millis: 88.454, usercpu_time_millis_testing: 4.99, usercpu_time_millis_training: 83.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.7551, kb_relative_information_score: -3282.9319, mean_absolute_error: 0.2694, 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: 0.9617, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9771, scimark_benchmark: 1819.5312, usercpu_time_millis: 77.129, usercpu_time_millis_testing: 3.683, usercpu_time_millis_training: 73.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.7551, kb_relative_information_score: -2010.5481, mean_absolute_error: 0.2706, 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: 0.966, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1807.956, usercpu_time_millis: 65.276, usercpu_time_millis_testing: 7.162, usercpu_time_millis_training: 58.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -26.3166, mean_absolute_error: 0.2802, 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: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1805.5372, usercpu_time_millis: 66.96, usercpu_time_millis_testing: 5.476, usercpu_time_millis_training: 61.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.7653, kappa: 0.0424, kb_relative_information_score: -2075.1427, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8059, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9601, scimark_benchmark: 1832.754, usercpu_time_millis: 41.995, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 40.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.7551, kb_relative_information_score: -2108.0016, mean_absolute_error: 0.276, 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: 0.9851, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9886, scimark_benchmark: 1813.0805, usercpu_time_millis: 72.389, usercpu_time_millis_testing: 6.746, usercpu_time_millis_training: 65.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.7551, kb_relative_information_score: -1183.8656, mean_absolute_error: 0.277, 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: 0.9888, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9904, scimark_benchmark: 1799.5915, usercpu_time_millis: 20.839, usercpu_time_millis_testing: 2.282, usercpu_time_millis_training: 18.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.7551, kb_relative_information_score: -3408.9827, mean_absolute_error: 0.2728, 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: 0.974, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834, scimark_benchmark: 1793.5499, usercpu_time_millis: 72.587, usercpu_time_millis_testing: 4.303, usercpu_time_millis_training: 68.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7704, kappa: 0.0641, kb_relative_information_score: -3439.0362, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1803.0148, usercpu_time_millis: 80.63, usercpu_time_millis_testing: 2.623, usercpu_time_millis_training: 78.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7727, kappa: 0.0739, kb_relative_information_score: -2869.3014, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7965, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1844.9447, usercpu_time_millis: 72.87, usercpu_time_millis_testing: 2.944, usercpu_time_millis_training: 69.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: -3099.7525, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8028, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1810.6415, usercpu_time_millis: 52.234, usercpu_time_millis_testing: 2.134, usercpu_time_millis_training: 50.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7551, kb_relative_information_score: -1955.6944, mean_absolute_error: 0.2713, 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: 0.9687, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9763, scimark_benchmark: 1824.3705, usercpu_time_millis: 62.024, usercpu_time_millis_testing: 6.111, usercpu_time_millis_training: 55.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.7551, kb_relative_information_score: -3160.1441, mean_absolute_error: 0.2724, 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: 0.9724, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1836.8952, usercpu_time_millis: 76.655, usercpu_time_millis_testing: 5.152, usercpu_time_millis_training: 71.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.7551, kb_relative_information_score: -1841.0183, mean_absolute_error: 0.2758, 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: 0.9844, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1842.598, usercpu_time_millis: 60.24, usercpu_time_millis_testing: 6, usercpu_time_millis_training: 54.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.7551, kb_relative_information_score: -2038.5146, mean_absolute_error: 0.2713, 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: 0.9684, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9765, scimark_benchmark: 1817.7025, usercpu_time_millis: 8.523, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 8.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7695, kappa: 0.06, kb_relative_information_score: -3280.4351, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1818.6485, usercpu_time_millis: 74.922, usercpu_time_millis_testing: 3.555, usercpu_time_millis_training: 71.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -84.3117, mean_absolute_error: 0.2802, 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: 1.0003, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 5.209, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 4.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.7642, kappa: 0.0375, kb_relative_information_score: -2090.7441, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9605, scimark_benchmark: 1805.971, usercpu_time_millis: 54.616, usercpu_time_millis_testing: 1.698, usercpu_time_millis_training: 52.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.7551, kb_relative_information_score: -2239.8064, mean_absolute_error: 0.2752, 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: 0.9825, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.987, scimark_benchmark: 1829.1419, usercpu_time_millis: 55.246, usercpu_time_millis_testing: 6.519, usercpu_time_millis_training: 48.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7551, kb_relative_information_score: -1834.5578, mean_absolute_error: 0.2757, 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: 0.9844, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1812.8084, usercpu_time_millis: 52.358, usercpu_time_millis_testing: 5.048, usercpu_time_millis_training: 47.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.7551, kb_relative_information_score: -1875.1845, mean_absolute_error: 0.2758, 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: 0.9845, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1824.2775, usercpu_time_millis: 61.808, usercpu_time_millis_testing: 7.721, usercpu_time_millis_training: 54.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7662, kappa: 0.0462, kb_relative_information_score: -2351.2472, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7929, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1794.4694, usercpu_time_millis: 68.315, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 67.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7551, kb_relative_information_score: -3183.5411, mean_absolute_error: 0.2698, 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: 0.9631, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9773, scimark_benchmark: 1840.3077, usercpu_time_millis: 16.027, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 15.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.7551, kb_relative_information_score: -1395.7701, mean_absolute_error: 0.2763, 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: 0.9862, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 1775.5463, usercpu_time_millis: 85.574, usercpu_time_millis_testing: 9.432, usercpu_time_millis_training: 76.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2585.9494, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.772, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1800.1759, usercpu_time_millis: 72.67, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 71.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 1.9948, 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: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1846.2342, usercpu_time_millis: 48.759, usercpu_time_millis_testing: 8.918, usercpu_time_millis_training: 39.841,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: -2469.3396, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.792, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1731.5003, usercpu_time_millis: 624.847, usercpu_time_millis_testing: 15.377, usercpu_time_millis_training: 609.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7621, kappa: 0.0288, kb_relative_information_score: -2200.7763, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1857.1082, usercpu_time_millis: 604.012, usercpu_time_millis_testing: 16.536, usercpu_time_millis_training: 587.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7588, kappa: 0.0154, kb_relative_information_score: -2640.3249, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7715, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 2128.952, usercpu_time_millis: 592.586, usercpu_time_millis_testing: 12.82, usercpu_time_millis_training: 579.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7607, kappa: 0.0232, kb_relative_information_score: -2309.1869, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1843.7454, usercpu_time_millis: 547.036, usercpu_time_millis_testing: 14.741, usercpu_time_millis_training: 532.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7599, kappa: 0.0197, kb_relative_information_score: -2476.601, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7899, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1838.622, usercpu_time_millis: 528.163, usercpu_time_millis_testing: 9.856, usercpu_time_millis_training: 518.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: -2382.4727, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7919, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1836.2769, usercpu_time_millis: 473.722, usercpu_time_millis_testing: 17.314, usercpu_time_millis_training: 456.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7593, kappa: 0.0172, kb_relative_information_score: -2466.3054, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7961, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1799.2518, usercpu_time_millis: 491.057, usercpu_time_millis_testing: 15.822, usercpu_time_millis_training: 475.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.7704, kappa: 0.0642, kb_relative_information_score: -2587.9222, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1815.0712, usercpu_time_millis: 475.28, usercpu_time_millis_testing: 5.32, usercpu_time_millis_training: 469.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7707, kappa: 0.0653, kb_relative_information_score: -2463.6503, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1814.5729, usercpu_time_millis: 466.78, usercpu_time_millis_testing: 3.659, usercpu_time_millis_training: 463.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.756, kappa: 0.0036, kb_relative_information_score: -2817.7674, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7698, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9715, scimark_benchmark: 1725.3804, usercpu_time_millis: 465.827, usercpu_time_millis_testing: 14.729, usercpu_time_millis_training: 451.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.7621, kappa: 0.029, kb_relative_information_score: -2494.5604, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1818.3938, usercpu_time_millis: 400.295, usercpu_time_millis_testing: 12.838, usercpu_time_millis_training: 387.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -2434.0397, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.785, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1853.9121, usercpu_time_millis: 341.255, usercpu_time_millis_testing: 11.013, usercpu_time_millis_training: 330.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7596, kappa: 0.0185, kb_relative_information_score: -2499.4872, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.793, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9661, scimark_benchmark: 1837.4118, usercpu_time_millis: 389.296, usercpu_time_millis_testing: 11.113, usercpu_time_millis_training: 378.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7667, kappa: 0.0484, kb_relative_information_score: -2249.9354, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.961, scimark_benchmark: 1792.4967, usercpu_time_millis: 314.437, usercpu_time_millis_testing: 6.864, usercpu_time_millis_training: 307.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7593, kappa: 0.0175, kb_relative_information_score: -2732.3273, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7701, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1839.2581, usercpu_time_millis: 336.867, usercpu_time_millis_testing: 4.65, usercpu_time_millis_training: 332.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7646, kappa: 0.0395, kb_relative_information_score: -2499.9506, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1839.0605, usercpu_time_millis: 318.083, usercpu_time_millis_testing: 15.892, usercpu_time_millis_training: 302.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7572, kappa: 0.0084, kb_relative_information_score: -2181.9393, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8064, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1853.9121, usercpu_time_millis: 318.371, usercpu_time_millis_testing: 13.468, usercpu_time_millis_training: 304.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7608, kappa: 0.0235, kb_relative_information_score: -2481.4855, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1912.7391, usercpu_time_millis: 288.806, usercpu_time_millis_testing: 11.946, usercpu_time_millis_training: 276.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.756, kappa: 0.0038, kb_relative_information_score: -2479.6698, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.772, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1732.0988, usercpu_time_millis: 274.699, usercpu_time_millis_testing: 8.637, usercpu_time_millis_training: 266.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.7554, kappa: 0.0013, kb_relative_information_score: -3382.4016, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7702, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9803, scimark_benchmark: 1815.5992, usercpu_time_millis: 298.318, usercpu_time_millis_testing: 10.793, usercpu_time_millis_training: 287.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.7575, kappa: 0.01, kb_relative_information_score: -2439.0394, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7937, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1839.5885, usercpu_time_millis: 259.036, usercpu_time_millis_testing: 9.678, usercpu_time_millis_training: 249.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7551, kb_relative_information_score: -3160.2363, mean_absolute_error: 0.2689, 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: 0.9599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9767, scimark_benchmark: 1855.4813, usercpu_time_millis: 238.819, usercpu_time_millis_testing: 10.589, usercpu_time_millis_training: 228.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.7555, kappa: 0.0016, kb_relative_information_score: -2483.3769, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7605, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1852.9988, usercpu_time_millis: 284.337, usercpu_time_millis_testing: 13.509, usercpu_time_millis_training: 270.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7591, kappa: 0.0163, kb_relative_information_score: -2485.3015, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1849.3742, usercpu_time_millis: 242.911, usercpu_time_millis_testing: 6.886, usercpu_time_millis_training: 236.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.7569, kappa: 0.0075, kb_relative_information_score: -3264.1382, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9774, scimark_benchmark: 1844.7258, usercpu_time_millis: 213.272, usercpu_time_millis_testing: 8.082, usercpu_time_millis_training: 205.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.7551, kb_relative_information_score: -3046.6423, mean_absolute_error: 0.2684, 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: 0.9582, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9751, scimark_benchmark: 1848.388, usercpu_time_millis: 223.669, usercpu_time_millis_testing: 9.743, usercpu_time_millis_training: 213.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2488.3459, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7859, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1825.8416, usercpu_time_millis: 231.408, usercpu_time_millis_testing: 4.944, usercpu_time_millis_training: 226.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7551, kb_relative_information_score: -1977.7301, mean_absolute_error: 0.2697, 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: 0.963, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9729, scimark_benchmark: 1827.4341, usercpu_time_millis: 209.211, usercpu_time_millis_testing: 15.66, usercpu_time_millis_training: 193.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7583, kappa: 0.0133, kb_relative_information_score: -2616.685, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7779, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1851.8567, usercpu_time_millis: 219.505, usercpu_time_millis_testing: 3.304, usercpu_time_millis_training: 216.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7639, kappa: 0.0366, kb_relative_information_score: -2276.972, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8011, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1846.6923, usercpu_time_millis: 197.57, usercpu_time_millis_testing: 6.035, usercpu_time_millis_training: 191.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7592, kappa: 0.017, kb_relative_information_score: -3114.5093, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7692, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9743, scimark_benchmark: 1846.1643, usercpu_time_millis: 245.588, usercpu_time_millis_testing: 6.637, usercpu_time_millis_training: 238.951,

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