OpenML
Supervised Classification on OVA_Uterus

Supervised Classification on OVA_Uterus

Task 3972 Supervised Classification OVA_Uterus 200 runs submitted
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  • mythbusting_1 slow study_123 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.9325, kappa: 0.5052, kb_relative_information_score: 538.4311, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9309, predictive_accuracy: 0.9385, prior_entropy: 0.405, recall: 0.9385, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.918, kappa: 0.393, kb_relative_information_score: 481.8869, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9144, predictive_accuracy: 0.9262, prior_entropy: 0.405, recall: 0.9262, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.8813, kb_relative_information_score: -8336.1951, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 3.3252, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.9131, kappa: 0.4518, kb_relative_information_score: 213.2931, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9206, predictive_accuracy: 0.9074, prior_entropy: 0.405, recall: 0.9074, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.1198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.886, kappa: 0.0436, kb_relative_information_score: 417.0539, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9278, predictive_accuracy: 0.9217, prior_entropy: 0.405, recall: 0.9217, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2799, root_relative_squared_error: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.8916, kappa: 0.3669, kb_relative_information_score: -203.4903, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.911, predictive_accuracy: 0.8783, prior_entropy: 0.405, recall: 0.8783, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3488, root_relative_squared_error: 1.2839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.9316, kappa: 0.4824, kb_relative_information_score: 685.6476, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9327, predictive_accuracy: 0.9405, prior_entropy: 0.405, recall: 0.9405, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.244, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9174, kappa: 0.5003, kb_relative_information_score: 194.6012, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.93, predictive_accuracy: 0.9094, prior_entropy: 0.405, recall: 0.9094, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8965, kappa: 0.4453, kb_relative_information_score: -203.4778, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9299, predictive_accuracy: 0.8783, prior_entropy: 0.405, recall: 0.8783, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3488, root_relative_squared_error: 1.2839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.9203, kappa: 0.4643, kb_relative_information_score: 385.1119, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9209, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2822, root_relative_squared_error: 1.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.9048, kappa: 0.4786, kb_relative_information_score: -46.039, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9337, predictive_accuracy: 0.8893, prior_entropy: 0.405, recall: 0.8893, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.2245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8813, kb_relative_information_score: -20.181, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.8939, kappa: 0.281, kb_relative_information_score: 18.7942, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8939, predictive_accuracy: 0.8939, prior_entropy: 0.405, recall: 0.8939, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3258, root_relative_squared_error: 1.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.9074, kappa: 0.2842, kb_relative_information_score: 97.2591, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9038, predictive_accuracy: 0.9223, prior_entropy: 0.405, recall: 0.9223, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.9008, kappa: 0.274, kb_relative_information_score: 241.0787, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8948, predictive_accuracy: 0.9094, prior_entropy: 0.405, recall: 0.9094, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.301, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9282, kappa: 0.5058, kb_relative_information_score: 275.7401, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9272, predictive_accuracy: 0.9295, prior_entropy: 0.405, recall: 0.9295, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.9053, kappa: 0.4804, kb_relative_information_score: -36.7771, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9339, predictive_accuracy: 0.89, prior_entropy: 0.405, recall: 0.89, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.9008, kappa: 0.274, kb_relative_information_score: 241.0787, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8948, predictive_accuracy: 0.9094, prior_entropy: 0.405, recall: 0.9094, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.301, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9282, kappa: 0.5058, kb_relative_information_score: 275.7401, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9272, predictive_accuracy: 0.9295, prior_entropy: 0.405, recall: 0.9295, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.9053, kappa: 0.4804, kb_relative_information_score: -36.7771, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9339, predictive_accuracy: 0.89, prior_entropy: 0.405, recall: 0.89, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8813, kb_relative_information_score: 389.2683, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.8813, kb_relative_information_score: 29.1842, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.9353, kappa: 0.5616, kb_relative_information_score: 611.5528, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9353, predictive_accuracy: 0.9353, prior_entropy: 0.405, recall: 0.9353, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.9364, scimark_benchmark: 1922.3298, usercpu_time_millis: 88406.25, usercpu_time_millis_testing: 39296.875, usercpu_time_millis_training: 49109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.9403, kappa: 0.5996, kb_relative_information_score: 676.3858, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9409, predictive_accuracy: 0.9398, prior_entropy: 0.405, recall: 0.9398, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.903, scimark_benchmark: 1922.3298, usercpu_time_millis: 79171.875, usercpu_time_millis_testing: 39906.25, usercpu_time_millis_training: 39265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8813, kb_relative_information_score: 389.2683, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.0427, scimark_benchmark: 1922.3298, usercpu_time_millis: 340640.625, usercpu_time_millis_testing: 178937.5, usercpu_time_millis_training: 161703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8813, kb_relative_information_score: 389.2683, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.0427, scimark_benchmark: 1280.301, usercpu_time_millis: 74343.75, usercpu_time_millis_testing: 39187.5, usercpu_time_millis_training: 35156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9406, kappa: 0.5904, kb_relative_information_score: 638.0871, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9397, predictive_accuracy: 0.9417, prior_entropy: 0.405, recall: 0.9417, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.8083, scimark_benchmark: 1788.7445, usercpu_time_millis: 232570, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 231560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9281, kappa: 0.44, kb_relative_information_score: 234.383, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.935, predictive_accuracy: 0.9405, prior_entropy: 0.405, recall: 0.9405, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.7644, scimark_benchmark: 930.1844, usercpu_time_millis: 102550, usercpu_time_millis_testing: 2180, usercpu_time_millis_training: 100370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.9048, kappa: 0.4786, kb_relative_information_score: -46.039, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9337, predictive_accuracy: 0.8893, prior_entropy: 0.405, recall: 0.8893, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.2245, scimark_benchmark: 1805.3542, usercpu_time_millis: 11600, usercpu_time_millis_testing: 6910, usercpu_time_millis_training: 4690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.9138, kappa: 0.3786, kb_relative_information_score: 247.5891, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9099, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.267, root_relative_squared_error: 0.9829, scimark_benchmark: 941.5597, usercpu_time_millis: 39100, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 37600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8813, kb_relative_information_score: 389.2683, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.0427, scimark_benchmark: 1695.6805, usercpu_time_millis: 102680, usercpu_time_millis_testing: 53800, usercpu_time_millis_training: 48880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8813, kb_relative_information_score: 389.2683, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.0427, scimark_benchmark: 1395.748, usercpu_time_millis: 411650, usercpu_time_millis_testing: 198390, usercpu_time_millis_training: 213260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.9353, kappa: 0.5616, kb_relative_information_score: 611.5528, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9353, predictive_accuracy: 0.9353, prior_entropy: 0.405, recall: 0.9353, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.9364, scimark_benchmark: 1668.7069, usercpu_time_millis: 125530, usercpu_time_millis_testing: 52390, usercpu_time_millis_training: 73140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.9403, kappa: 0.5996, kb_relative_information_score: 676.3858, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9409, predictive_accuracy: 0.9398, prior_entropy: 0.405, recall: 0.9398, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.903, scimark_benchmark: 1389.332, usercpu_time_millis: 145280, usercpu_time_millis_testing: 58580, usercpu_time_millis_training: 86700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8813, kb_relative_information_score: 389.2683, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.0427, scimark_benchmark: 1665.974, usercpu_time_millis: 1179203.125, usercpu_time_millis_testing: 313375, usercpu_time_millis_training: 865828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9168, kappa: 0.3386, kb_relative_information_score: -19.7981, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9265, predictive_accuracy: 0.934, prior_entropy: 0.405, recall: 0.934, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7962, usercpu_time_millis: 247.602, usercpu_time_millis_testing: 7.335, usercpu_time_millis_training: 240.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8914, kappa: 0.4503, kb_relative_information_score: -333.161, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9359, predictive_accuracy: 0.8693, prior_entropy: 0.405, recall: 0.8693, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3616, root_relative_squared_error: 1.3309, usercpu_time_millis: 874.605, usercpu_time_millis_testing: 618.159, usercpu_time_millis_training: 256.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9297, kappa: 0.4917, kb_relative_information_score: 412.4791, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9273, predictive_accuracy: 0.9346, prior_entropy: 0.405, recall: 0.9346, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7729, usercpu_time_millis: 47.857, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 46.432,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9399, kappa: 0.5771, kb_relative_information_score: 718.2523, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9384, predictive_accuracy: 0.9424, prior_entropy: 0.405, recall: 0.9424, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.8092, scimark_benchmark: 1532.4313, usercpu_time_millis: 541700, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 541670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.8813, kb_relative_information_score: 28.3975, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0002, scimark_benchmark: 916.3298, usercpu_time_millis: 1284730, usercpu_time_millis_testing: 336110, usercpu_time_millis_training: 948620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.9285, kappa: 0.5142, kb_relative_information_score: 380.0238, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9283, predictive_accuracy: 0.9288, prior_entropy: 0.405, recall: 0.9288, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.215, root_relative_squared_error: 0.7912, scimark_benchmark: 1193.3569, usercpu_time_millis: 4960690, usercpu_time_millis_testing: 7760, usercpu_time_millis_training: 4952930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9037, kappa: 0.4788, kb_relative_information_score: 87.5243, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9348, predictive_accuracy: 0.8874, prior_entropy: 0.405, recall: 0.8874, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.9221, scimark_benchmark: 1210.8768, usercpu_time_millis: 219060, usercpu_time_millis_testing: 219050, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.9322, kappa: 0.5285, kb_relative_information_score: 321.1011, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9307, predictive_accuracy: 0.934, prior_entropy: 0.405, recall: 0.934, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.8146, scimark_benchmark: 1394.7836, usercpu_time_millis: 4183640, usercpu_time_millis_testing: 3470, usercpu_time_millis_training: 4180170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.9309, kappa: 0.5239, kb_relative_information_score: 565.2435, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9298, predictive_accuracy: 0.932, prior_entropy: 0.405, recall: 0.932, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.9595, scimark_benchmark: 1524.9274, usercpu_time_millis: 4019120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4019070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.9079, kappa: 0.3146, kb_relative_information_score: 140.8933, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9026, predictive_accuracy: 0.9178, prior_entropy: 0.405, recall: 0.9178, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.9576, scimark_benchmark: 1358.1737, usercpu_time_millis: 4164320, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4164280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.8967, kappa: 0.2521, kb_relative_information_score: -120.953, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8909, predictive_accuracy: 0.9042, prior_entropy: 0.405, recall: 0.9042, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3006, root_relative_squared_error: 1.1064, scimark_benchmark: 1435.9689, usercpu_time_millis: 4309900, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4309850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9314, kappa: 0.484, kb_relative_information_score: 361.1726, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9318, predictive_accuracy: 0.9398, prior_entropy: 0.405, recall: 0.9398, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.7486, scimark_benchmark: 1632.3912, usercpu_time_millis: 3572160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3572080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.9099, kappa: 0.5074, kb_relative_information_score: 22.6622, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9388, predictive_accuracy: 0.8951, prior_entropy: 0.405, recall: 0.8951, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3217, root_relative_squared_error: 1.1841, scimark_benchmark: 1565.1735, usercpu_time_millis: 3686060, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 3685910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.9254, kappa: 0.4889, kb_relative_information_score: 478.5172, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9246, predictive_accuracy: 0.9262, prior_entropy: 0.405, recall: 0.9262, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9991, scimark_benchmark: 1344.3933, usercpu_time_millis: 4338310, usercpu_time_millis_testing: 1710, usercpu_time_millis_training: 4336600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.9108, kappa: 0.3675, kb_relative_information_score: 305.6218, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9074, predictive_accuracy: 0.9152, prior_entropy: 0.405, recall: 0.9152, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.0439, scimark_benchmark: 1384.2358, usercpu_time_millis: 4174680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4174630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9369, kappa: 0.589, kb_relative_information_score: -149.5898, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.94, predictive_accuracy: 0.9346, prior_entropy: 0.405, recall: 0.9346, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.219, root_relative_squared_error: 0.8061, scimark_benchmark: 1386.7654, usercpu_time_millis: 377250, usercpu_time_millis_testing: 377250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9336, kappa: 0.5571, kb_relative_information_score: -124.1103, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9347, predictive_accuracy: 0.9327, prior_entropy: 0.405, recall: 0.9327, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.8212, scimark_benchmark: 994.0309, usercpu_time_millis: 318210, usercpu_time_millis_testing: 318210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.9424, kappa: 0.6055, kb_relative_information_score: 722.6951, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9418, predictive_accuracy: 0.943, prior_entropy: 0.405, recall: 0.943, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.8784, scimark_benchmark: 1290.0712, usercpu_time_millis: 8170, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 7670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.898, kappa: 0.3727, kb_relative_information_score: -100.9507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9095, predictive_accuracy: 0.8893, prior_entropy: 0.405, recall: 0.8893, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3225, root_relative_squared_error: 1.187, scimark_benchmark: 1123.2859, usercpu_time_millis: 729640, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 729320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.9155, kappa: 0.4522, kb_relative_information_score: 285.5804, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9197, predictive_accuracy: 0.912, prior_entropy: 0.405, recall: 0.912, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.9796, scimark_benchmark: 1106.9179, usercpu_time_millis: 71260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 71220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.9405, kappa: 0.5936, kb_relative_information_score: 694.9095, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.94, predictive_accuracy: 0.9411, prior_entropy: 0.405, recall: 0.9411, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8933, scimark_benchmark: 1100.027, usercpu_time_millis: 19300, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 19020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.9048, kappa: 0.4786, kb_relative_information_score: -46.039, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9337, predictive_accuracy: 0.8893, prior_entropy: 0.405, recall: 0.8893, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.2245, scimark_benchmark: 912.4487, usercpu_time_millis: 15550, usercpu_time_millis_testing: 11670, usercpu_time_millis_training: 3880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1, scimark_benchmark: 1110.2127, usercpu_time_millis: 25980, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 25930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.9131, kappa: 0.4518, kb_relative_information_score: 210.0718, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9206, predictive_accuracy: 0.9074, prior_entropy: 0.405, recall: 0.9074, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.304, root_relative_squared_error: 1.119, scimark_benchmark: 875.4096, usercpu_time_millis: 175370, usercpu_time_millis_testing: 175360, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9137, kappa: 0.3057, kb_relative_information_score: 78.475, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9289, predictive_accuracy: 0.9333, prior_entropy: 0.405, recall: 0.9333, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.8114, scimark_benchmark: 1068.0146, usercpu_time_millis: 4630, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.9074, kappa: 0.2842, kb_relative_information_score: 97.2591, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9038, predictive_accuracy: 0.9223, prior_entropy: 0.405, recall: 0.9223, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9311, scimark_benchmark: 1002.633, usercpu_time_millis: 7360, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 7270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.9139, kappa: 0.4211, kb_relative_information_score: 292.4204, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9145, predictive_accuracy: 0.9133, prior_entropy: 0.405, recall: 0.9133, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2904, root_relative_squared_error: 1.069, scimark_benchmark: 1474.3965, usercpu_time_millis: 21450, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 21340,

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