OpenML
Supervised Classification on ada_agnostic

Supervised Classification on ada_agnostic

Task 4601 Supervised Classification ada_agnostic 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8316, kappa: 0.5294, kb_relative_information_score: 17494.4345, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8336, predictive_accuracy: 0.8412, prior_entropy: 0.8085, recall: 0.8412, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7932, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8367, kappa: 0.5487, kb_relative_information_score: 10115.3925, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8359, predictive_accuracy: 0.8429, prior_entropy: 0.8085, recall: 0.8429, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7988, scimark_benchmark: 972.587, usercpu_time_millis: 2050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8338, kappa: 0.5405, kb_relative_information_score: 17139.2391, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.833, predictive_accuracy: 0.8403, prior_entropy: 0.8085, recall: 0.8403, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.7748, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.6471, kappa: -0.0016, kb_relative_information_score: 10838.3596, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.6226, predictive_accuracy: 0.7456, prior_entropy: 0.8085, recall: 0.7456, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1678, scimark_benchmark: 944.1067, usercpu_time_millis: 11190, usercpu_time_millis_testing: 2960, usercpu_time_millis_training: 8230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.6471, kappa: -0.0016, kb_relative_information_score: 10838.3596, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.6226, predictive_accuracy: 0.7456, prior_entropy: 0.8085, recall: 0.7456, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1678, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8365, kappa: 0.5503, kb_relative_information_score: 18912.0869, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8351, predictive_accuracy: 0.8416, prior_entropy: 0.8085, recall: 0.8416, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.336, root_relative_squared_error: 0.778, scimark_benchmark: 944.1067, usercpu_time_millis: 2835350, usercpu_time_millis_testing: 9590, usercpu_time_millis_training: 2825760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 941.6675, usercpu_time_millis: 260, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 941.6675, usercpu_time_millis: 250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8417, kappa: 0.5623, kb_relative_information_score: 19263.4785, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8414, predictive_accuracy: 0.848, prior_entropy: 0.8085, recall: 0.848, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.7601, scimark_benchmark: 941.6675, usercpu_time_millis: 2250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8457, kappa: 0.5769, kb_relative_information_score: 20723.4984, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8444, predictive_accuracy: 0.8498, prior_entropy: 0.8085, recall: 0.8498, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7696, scimark_benchmark: 944.1067, usercpu_time_millis: 9150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 9100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8374, kappa: 0.5507, kb_relative_information_score: 18092.5171, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8365, predictive_accuracy: 0.8435, prior_entropy: 0.8085, recall: 0.8435, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7685, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.6471, kappa: -0.0016, kb_relative_information_score: 10838.3596, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.6226, predictive_accuracy: 0.7456, prior_entropy: 0.8085, recall: 0.7456, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1678, scimark_benchmark: 941.3847, usercpu_time_millis: 11020, usercpu_time_millis_testing: 2810, usercpu_time_millis_training: 8210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.6471, kappa: -0.0016, kb_relative_information_score: 10838.3596, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.6226, predictive_accuracy: 0.7456, prior_entropy: 0.8085, recall: 0.7456, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1678, scimark_benchmark: 944.1783, usercpu_time_millis: 21270, usercpu_time_millis_testing: 6760, usercpu_time_millis_training: 14510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7811, kappa: 0.474, kb_relative_information_score: 13787.8576, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8223, predictive_accuracy: 0.7677, prior_entropy: 0.8085, recall: 0.7677, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9701, scimark_benchmark: 941.3847, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8374, kappa: 0.5507, kb_relative_information_score: 18092.5171, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8365, predictive_accuracy: 0.8435, prior_entropy: 0.8085, recall: 0.8435, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7685, scimark_benchmark: 943.1009, usercpu_time_millis: 3810, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8316, kappa: 0.5294, kb_relative_information_score: 17494.4345, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8336, predictive_accuracy: 0.8412, prior_entropy: 0.8085, recall: 0.8412, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7932, scimark_benchmark: 942.2392, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8367, kappa: 0.5487, kb_relative_information_score: 10115.3925, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8359, predictive_accuracy: 0.8429, prior_entropy: 0.8085, recall: 0.8429, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7988, scimark_benchmark: 901.6243, usercpu_time_millis: 1540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8338, kappa: 0.5405, kb_relative_information_score: 17139.2391, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.833, predictive_accuracy: 0.8403, prior_entropy: 0.8085, recall: 0.8403, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.7748, scimark_benchmark: 938.1282, usercpu_time_millis: 3890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.6471, kappa: -0.0016, kb_relative_information_score: 10838.3596, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.6226, predictive_accuracy: 0.7456, prior_entropy: 0.8085, recall: 0.7456, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1678, scimark_benchmark: 936.9595, usercpu_time_millis: 23610, usercpu_time_millis_testing: 5860, usercpu_time_millis_training: 17750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8365, kappa: 0.5503, kb_relative_information_score: 18912.0869, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8351, predictive_accuracy: 0.8416, prior_entropy: 0.8085, recall: 0.8416, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.336, root_relative_squared_error: 0.778, scimark_benchmark: 931.7096, usercpu_time_millis: 2905190, usercpu_time_millis_testing: 9090, usercpu_time_millis_training: 2896100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 938.1282, usercpu_time_millis: 240, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 930.404, usercpu_time_millis: 240, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8417, kappa: 0.5623, kb_relative_information_score: 19263.4785, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8414, predictive_accuracy: 0.848, prior_entropy: 0.8085, recall: 0.848, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.7601, scimark_benchmark: 941.4991, usercpu_time_millis: 2030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 945.6228, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8374, kappa: 0.5507, kb_relative_information_score: 18092.5171, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8365, predictive_accuracy: 0.8435, prior_entropy: 0.8085, recall: 0.8435, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7685, scimark_benchmark: 945.6228, usercpu_time_millis: 3420, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8403, kappa: 0.5568, kb_relative_information_score: 19061.7848, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8406, predictive_accuracy: 0.8475, prior_entropy: 0.8085, recall: 0.8475, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.758, scimark_benchmark: 920.2531, usercpu_time_millis: 169380, usercpu_time_millis_testing: 48730, usercpu_time_millis_training: 120650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8403, kappa: 0.557, kb_relative_information_score: 19059.2374, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8406, predictive_accuracy: 0.8475, prior_entropy: 0.8085, recall: 0.8475, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7585, scimark_benchmark: 873.7533, usercpu_time_millis: 119860, usercpu_time_millis_testing: 38760, usercpu_time_millis_training: 81100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8395, kappa: 0.5548, kb_relative_information_score: 19003.2596, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8395, predictive_accuracy: 0.8465, prior_entropy: 0.8085, recall: 0.8465, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.7601, scimark_benchmark: 931.7096, usercpu_time_millis: 39410, usercpu_time_millis_testing: 9470, usercpu_time_millis_training: 29940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.839, kappa: 0.5541, kb_relative_information_score: 18976.1715, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8389, predictive_accuracy: 0.8459, prior_entropy: 0.8085, recall: 0.8459, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.7625, scimark_benchmark: 922.613, usercpu_time_millis: 18320, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 15870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8372, kappa: 0.549, kb_relative_information_score: 18915.2096, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8368, predictive_accuracy: 0.844, prior_entropy: 0.8085, recall: 0.844, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7679, scimark_benchmark: 914.3583, usercpu_time_millis: 8390, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 7300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8345, kappa: 0.541, kb_relative_information_score: 18474.7611, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8344, predictive_accuracy: 0.8419, prior_entropy: 0.8085, recall: 0.8419, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7739, scimark_benchmark: 926.5859, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8345, kappa: 0.541, kb_relative_information_score: 18474.7611, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8344, predictive_accuracy: 0.8419, prior_entropy: 0.8085, recall: 0.8419, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7739, scimark_benchmark: 938.3115, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8345, kappa: 0.541, kb_relative_information_score: 18474.7611, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8344, predictive_accuracy: 0.8419, prior_entropy: 0.8085, recall: 0.8419, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7739, scimark_benchmark: 926.5859, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8345, kappa: 0.541, kb_relative_information_score: 18474.7611, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8344, predictive_accuracy: 0.8419, prior_entropy: 0.8085, recall: 0.8419, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7739, scimark_benchmark: 941.9549, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8335, kappa: 0.538, kb_relative_information_score: 18310.5554, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8334, predictive_accuracy: 0.841, prior_entropy: 0.8085, recall: 0.841, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.774, scimark_benchmark: 941.9549, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.823, kappa: 0.5051, kb_relative_information_score: 14661.8797, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8244, predictive_accuracy: 0.8334, prior_entropy: 0.8085, recall: 0.8334, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8073, scimark_benchmark: 929.0296, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1350.2591, usercpu_time_millis: 200, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7811, kappa: 0.474, kb_relative_information_score: 13787.8576, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8223, predictive_accuracy: 0.7677, prior_entropy: 0.8085, recall: 0.7677, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9701, scimark_benchmark: 1319.4538, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1324.7884, usercpu_time_millis: 180, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1337.9552, usercpu_time_millis: 180, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1306.8702, usercpu_time_millis: 150, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8316, kappa: 0.5294, kb_relative_information_score: 17494.4345, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8336, predictive_accuracy: 0.8412, prior_entropy: 0.8085, recall: 0.8412, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7932, scimark_benchmark: 1306.9281, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7811, kappa: 0.474, kb_relative_information_score: 13787.8576, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8223, predictive_accuracy: 0.7677, prior_entropy: 0.8085, recall: 0.7677, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9701, scimark_benchmark: 1309.2287, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1350.7721, usercpu_time_millis: 150, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1346.4374, usercpu_time_millis: 150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1332.9478, usercpu_time_millis: 160, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1337.3324, usercpu_time_millis: 160, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8457, kappa: 0.5769, kb_relative_information_score: 20723.4984, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8444, predictive_accuracy: 0.8498, prior_entropy: 0.8085, recall: 0.8498, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7696, scimark_benchmark: 1313.11, usercpu_time_millis: 11090, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8374, kappa: 0.5507, kb_relative_information_score: 18092.5171, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8365, predictive_accuracy: 0.8435, prior_entropy: 0.8085, recall: 0.8435, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7685, scimark_benchmark: 1346.4374, usercpu_time_millis: 2740, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8356, kappa: 0.5472, kb_relative_information_score: 18495.1455, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8343, predictive_accuracy: 0.8411, prior_entropy: 0.8085, recall: 0.8411, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7639, scimark_benchmark: 1351.1238, usercpu_time_millis: 51540, usercpu_time_millis_testing: 2890, usercpu_time_millis_training: 48650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8338, kappa: 0.5405, kb_relative_information_score: 17139.2391, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.833, predictive_accuracy: 0.8403, prior_entropy: 0.8085, recall: 0.8403, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.7748, scimark_benchmark: 1321.4771, usercpu_time_millis: 3000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8376, kappa: 0.5508, kb_relative_information_score: 18699.5354, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8371, predictive_accuracy: 0.8441, prior_entropy: 0.8085, recall: 0.8441, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7619, scimark_benchmark: 1336.4564, usercpu_time_millis: 8730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.6471, kappa: -0.0016, kb_relative_information_score: 10838.3596, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.6226, predictive_accuracy: 0.7456, prior_entropy: 0.8085, recall: 0.7456, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1678, scimark_benchmark: 1320.7788, usercpu_time_millis: 36880, usercpu_time_millis_testing: 11760, usercpu_time_millis_training: 25120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8417, kappa: 0.5623, kb_relative_information_score: 19263.4785, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8414, predictive_accuracy: 0.848, prior_entropy: 0.8085, recall: 0.848, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.7601, scimark_benchmark: 1299.6719, usercpu_time_millis: 2200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1342.4614, usercpu_time_millis: 150, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8316, kappa: 0.5294, kb_relative_information_score: 17494.4345, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8336, predictive_accuracy: 0.8412, prior_entropy: 0.8085, recall: 0.8412, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7932, scimark_benchmark: 1318.3027, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8367, kappa: 0.5487, kb_relative_information_score: 10115.3925, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8359, predictive_accuracy: 0.8429, prior_entropy: 0.8085, recall: 0.8429, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7988, scimark_benchmark: 1371.4836, usercpu_time_millis: 1050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8457, kappa: 0.5769, kb_relative_information_score: 20723.4984, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8444, predictive_accuracy: 0.8498, prior_entropy: 0.8085, recall: 0.8498, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7696, scimark_benchmark: 1339.5666, usercpu_time_millis: 10140, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.6471, kappa: -0.0016, kb_relative_information_score: 10838.3596, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.6226, predictive_accuracy: 0.7456, prior_entropy: 0.8085, recall: 0.7456, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1678, scimark_benchmark: 1347.4442, usercpu_time_millis: 35720, usercpu_time_millis_testing: 8740, usercpu_time_millis_training: 26980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1260.1387, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1347.993, usercpu_time_millis: 170, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8457, kappa: 0.5769, kb_relative_information_score: 20723.4984, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8444, predictive_accuracy: 0.8498, prior_entropy: 0.8085, recall: 0.8498, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7696, scimark_benchmark: 1281.7531, usercpu_time_millis: 12570, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 12460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.6471, kappa: -0.0016, kb_relative_information_score: 10838.3596, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.6226, predictive_accuracy: 0.7456, prior_entropy: 0.8085, recall: 0.7456, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1678, scimark_benchmark: 1384.4422, usercpu_time_millis: 25370, usercpu_time_millis_testing: 7590, usercpu_time_millis_training: 17780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 932.5646, usercpu_time_millis: 220, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8056, kappa: 0.5214, kb_relative_information_score: 15650.9076, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8349, predictive_accuracy: 0.7952, prior_entropy: 0.8085, recall: 0.7952, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8778, scimark_benchmark: 1341.5795, usercpu_time_millis: 140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.8279, kappa: 0.5256, kb_relative_information_score: 18987.9287, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.3732, number_of_instances: 45620, precision: 0.8264, predictive_accuracy: 0.8339, prior_entropy: 0.8085, recall: 0.8339, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.837, scimark_benchmark: 1350.2369, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs