Task
Supervised Classification on AP_Ovary_Lung

Supervised Classification on AP_Ovary_Lung

Task 3974 Supervised Classification AP_Ovary_Lung 64 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9139, kappa: 0.8197, kb_relative_information_score: 262.6973, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9149, predictive_accuracy: 0.9136, prior_entropy: 0.9645, recall: 0.9136, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.6025, scimark_benchmark: 1021.1483, usercpu_time_millis: 3370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9384, kappa: 0.8709, kb_relative_information_score: 280.8843, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9389, predictive_accuracy: 0.9383, prior_entropy: 0.9645, recall: 0.9383, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5096, scimark_benchmark: 581.1165, usercpu_time_millis: 10070, usercpu_time_millis_testing: 1950, usercpu_time_millis_training: 8120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9314, kappa: 0.8546, kb_relative_information_score: 205.3289, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9335, predictive_accuracy: 0.9321, prior_entropy: 0.9645, recall: 0.9321, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5274, scimark_benchmark: 495.7968, usercpu_time_millis: 3280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9597, kappa: 0.915, kb_relative_information_score: 295.7806, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9601, predictive_accuracy: 0.9599, prior_entropy: 0.9645, recall: 0.9599, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4069, scimark_benchmark: 1355.549, usercpu_time_millis: 111740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 111720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9141, kappa: 0.8208, kb_relative_information_score: 262.3296, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9164, predictive_accuracy: 0.9136, prior_entropy: 0.9645, recall: 0.9136, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.293, root_relative_squared_error: 0.601, scimark_benchmark: 1082.049, usercpu_time_millis: 9950, usercpu_time_millis_testing: 8420, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9354, kappa: 0.8646, kb_relative_information_score: 277.1912, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9361, predictive_accuracy: 0.9352, prior_entropy: 0.9645, recall: 0.9352, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5064, scimark_benchmark: 1435.3828, usercpu_time_millis: 700360, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 700280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9414, kappa: 0.8768, kb_relative_information_score: 283.0327, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9415, predictive_accuracy: 0.9414, prior_entropy: 0.9645, recall: 0.9414, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4967, scimark_benchmark: 1339.3045, usercpu_time_millis: 2030, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9292, kappa: 0.8513, kb_relative_information_score: 274.4392, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9295, predictive_accuracy: 0.929, prior_entropy: 0.9645, recall: 0.929, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5465, scimark_benchmark: 1310.5914, usercpu_time_millis: 3520, usercpu_time_millis_testing: 1900, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.923, kappa: 0.8384, kb_relative_information_score: 269.1424, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9233, predictive_accuracy: 0.9228, prior_entropy: 0.9645, recall: 0.9228, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5692, scimark_benchmark: 1351.8122, usercpu_time_millis: 3270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9384, kappa: 0.8705, kb_relative_information_score: 280.8843, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9385, predictive_accuracy: 0.9383, prior_entropy: 0.9645, recall: 0.9383, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5096, scimark_benchmark: 1130.7324, usercpu_time_millis: 8480, usercpu_time_millis_testing: 2160, usercpu_time_millis_training: 6320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9314, kappa: 0.8546, kb_relative_information_score: 202.779, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9335, predictive_accuracy: 0.9321, prior_entropy: 0.9645, recall: 0.9321, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5329, scimark_benchmark: 985.1858, usercpu_time_millis: 2650, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9252, kappa: 0.8414, kb_relative_information_score: 248.8967, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9272, predictive_accuracy: 0.9259, prior_entropy: 0.9645, recall: 0.9259, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5381, scimark_benchmark: 889.1938, usercpu_time_millis: 2950, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.9015, kappa: 0.7934, kb_relative_information_score: 252.5576, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9021, predictive_accuracy: 0.9012, prior_entropy: 0.9645, recall: 0.9012, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6249, scimark_benchmark: 808.7944, usercpu_time_millis: 7840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.922, kappa: 0.8346, kb_relative_information_score: 247.1862, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9243, predictive_accuracy: 0.9228, prior_entropy: 0.9645, recall: 0.9228, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5499, scimark_benchmark: 947.3004, usercpu_time_millis: 1980, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9412, kappa: 0.8761, kb_relative_information_score: 283.0327, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9413, predictive_accuracy: 0.9414, prior_entropy: 0.9645, recall: 0.9414, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4967, scimark_benchmark: 1371.0025, usercpu_time_millis: 4100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9168, kappa: 0.8254, kb_relative_information_score: 262.8542, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9172, predictive_accuracy: 0.9167, prior_entropy: 0.9645, recall: 0.9167, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.551, scimark_benchmark: 1234.157, usercpu_time_millis: 7540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9597, kappa: 0.915, kb_relative_information_score: 295.7806, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9601, predictive_accuracy: 0.9599, prior_entropy: 0.9645, recall: 0.9599, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4069, scimark_benchmark: 1390.5714, usercpu_time_millis: 121980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 121960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9414, kappa: 0.8768, kb_relative_information_score: 283.0327, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9415, predictive_accuracy: 0.9414, prior_entropy: 0.9645, recall: 0.9414, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4967, scimark_benchmark: 1573.4792, usercpu_time_millis: 1590, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9384, kappa: 0.8709, kb_relative_information_score: 280.8843, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9389, predictive_accuracy: 0.9383, prior_entropy: 0.9645, recall: 0.9383, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5096, scimark_benchmark: 1385.4252, usercpu_time_millis: 4190, usercpu_time_millis_testing: 2280, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.9041, kappa: 0.7978, kb_relative_information_score: 251.3925, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9041, predictive_accuracy: 0.9043, prior_entropy: 0.9645, recall: 0.9043, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.605, scimark_benchmark: 1086.1788, usercpu_time_millis: 2956600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2956590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.4636, kb_relative_information_score: -12.9497, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.3735, predictive_accuracy: 0.6111, prior_entropy: 0.9645, recall: 0.6111, relative_absolute_error: 1.0235, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0063, scimark_benchmark: 1149.0427, usercpu_time_millis: 284380, usercpu_time_millis_testing: 72370, usercpu_time_millis_training: 212010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9141, kappa: 0.8208, kb_relative_information_score: 262.3296, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9164, predictive_accuracy: 0.9136, prior_entropy: 0.9645, recall: 0.9136, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.293, root_relative_squared_error: 0.601, scimark_benchmark: 1254.035, usercpu_time_millis: 7300, usercpu_time_millis_testing: 6380, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9354, kappa: 0.8646, kb_relative_information_score: 277.022, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9361, predictive_accuracy: 0.9352, prior_entropy: 0.9645, recall: 0.9352, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5096, scimark_benchmark: 1336.4659, usercpu_time_millis: 821220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 821160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4636, kb_relative_information_score: -13.8362, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.3735, predictive_accuracy: 0.6111, prior_entropy: 0.9645, recall: 0.6111, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0069, scimark_benchmark: 1275.3137, usercpu_time_millis: 519440, usercpu_time_millis_testing: 130440, usercpu_time_millis_training: 389000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9412, kappa: 0.8761, kb_relative_information_score: 283.0327, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9413, predictive_accuracy: 0.9414, prior_entropy: 0.9645, recall: 0.9414, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4967, scimark_benchmark: 1344.9032, usercpu_time_millis: 5340, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9596, kappa: 0.9145, kb_relative_information_score: 254.9609, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9609, predictive_accuracy: 0.9599, prior_entropy: 0.9645, recall: 0.9599, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4088, scimark_benchmark: 1524.9335, usercpu_time_millis: 2152010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2152000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9506, kappa: 0.8961, kb_relative_information_score: 289.4778, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9506, predictive_accuracy: 0.9506, prior_entropy: 0.9645, recall: 0.9506, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4558, scimark_benchmark: 1605.3851, usercpu_time_millis: 2096370, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2096330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.9256, kappa: 0.8428, kb_relative_information_score: 255.4968, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9259, predictive_accuracy: 0.9259, prior_entropy: 0.9645, recall: 0.9259, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5295, scimark_benchmark: 1394.4148, usercpu_time_millis: 2651340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2651320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.9321, kappa: 0.8571, kb_relative_information_score: 276.5876, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 0.9645, recall: 0.9321, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5345, scimark_benchmark: 1495.4094, usercpu_time_millis: 2210140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2210130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9474, kappa: 0.8891, kb_relative_information_score: 277.0878, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9475, predictive_accuracy: 0.9475, prior_entropy: 0.9645, recall: 0.9475, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4232, scimark_benchmark: 1582.8374, usercpu_time_millis: 2264010, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 2263780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9535, kappa: 0.9019, kb_relative_information_score: 285.2378, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9538, predictive_accuracy: 0.9537, prior_entropy: 0.9645, recall: 0.9537, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4331, scimark_benchmark: 1159.1074, usercpu_time_millis: 2863400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2863360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9004, kappa: 0.7892, kb_relative_information_score: 245.5666, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9014, predictive_accuracy: 0.9012, prior_entropy: 0.9645, recall: 0.9012, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5805, scimark_benchmark: 1377.4167, usercpu_time_millis: 12330, usercpu_time_millis_testing: 12330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9441, kappa: 0.8818, kb_relative_information_score: 273.7287, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.945, predictive_accuracy: 0.9444, prior_entropy: 0.9645, recall: 0.9444, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4247, scimark_benchmark: 1407.4969, usercpu_time_millis: 2341650, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2341370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.4636, kb_relative_information_score: -11.4098, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.3735, predictive_accuracy: 0.6111, prior_entropy: 0.9645, recall: 0.6111, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0047, scimark_benchmark: 1380.1195, usercpu_time_millis: 214940, usercpu_time_millis_testing: 44560, usercpu_time_millis_training: 170380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9597, kappa: 0.915, kb_relative_information_score: 295.7806, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9601, predictive_accuracy: 0.9599, prior_entropy: 0.9645, recall: 0.9599, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4069, scimark_benchmark: 1334.6385, usercpu_time_millis: 122970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 122960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9343, kappa: 0.8606, kb_relative_information_score: 276.9056, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9378, predictive_accuracy: 0.9352, prior_entropy: 0.9645, recall: 0.9352, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4658, scimark_benchmark: 1361.3252, usercpu_time_millis: 2491480, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 2491230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9444, kappa: 0.8831, kb_relative_information_score: 285.181, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.9645, recall: 0.9444, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4835, scimark_benchmark: 1514.0252, usercpu_time_millis: 2395060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2395050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9046, kappa: 0.8001, kb_relative_information_score: 256.3264, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9054, predictive_accuracy: 0.9043, prior_entropy: 0.9645, recall: 0.9043, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6157, scimark_benchmark: 1109.475, usercpu_time_millis: 2882860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2882850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9473, kappa: 0.8888, kb_relative_information_score: 289.0897, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9476, predictive_accuracy: 0.9475, prior_entropy: 0.9645, recall: 0.9475, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4469, scimark_benchmark: 1238.3481, usercpu_time_millis: 2433170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2433160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9141, kappa: 0.8208, kb_relative_information_score: 262.3296, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9164, predictive_accuracy: 0.9136, prior_entropy: 0.9645, recall: 0.9136, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.293, root_relative_squared_error: 0.601, scimark_benchmark: 1347.7247, usercpu_time_millis: 5780, usercpu_time_millis_testing: 5780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9221, kappa: 0.835, kb_relative_information_score: 247.6444, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9237, predictive_accuracy: 0.9228, prior_entropy: 0.9645, recall: 0.9228, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5451, scimark_benchmark: 1109.8427, usercpu_time_millis: 960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9314, kappa: 0.8546, kb_relative_information_score: 198.3811, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9335, predictive_accuracy: 0.9321, prior_entropy: 0.9645, recall: 0.9321, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5453, scimark_benchmark: 1046.1407, usercpu_time_millis: 2030, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9259, kappa: 0.8442, kb_relative_information_score: 272.2908, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9259, predictive_accuracy: 0.9259, prior_entropy: 0.9645, recall: 0.9259, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.5583, scimark_benchmark: 1072.1597, usercpu_time_millis: 9160, usercpu_time_millis_testing: 1890, usercpu_time_millis_training: 7270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8982, kappa: 0.786, kb_relative_information_score: 250.6603, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.8983, predictive_accuracy: 0.8981, prior_entropy: 0.9645, recall: 0.8981, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6286, scimark_benchmark: 829.7952, usercpu_time_millis: 8920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9199, kappa: 0.8317, kb_relative_information_score: 267.9941, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9201, predictive_accuracy: 0.9198, prior_entropy: 0.9645, recall: 0.9198, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.5811, scimark_benchmark: 1243.5933, usercpu_time_millis: 3060, usercpu_time_millis_testing: 2510, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9412, kappa: 0.8761, kb_relative_information_score: 283.0327, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9413, predictive_accuracy: 0.9414, prior_entropy: 0.9645, recall: 0.9414, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4967, scimark_benchmark: 806.4003, usercpu_time_millis: 5150, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 5020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9324, kappa: 0.8584, kb_relative_information_score: 276.9523, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9333, predictive_accuracy: 0.9321, prior_entropy: 0.9645, recall: 0.9321, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.5063, scimark_benchmark: 1339.637, usercpu_time_millis: 811700, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 811630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9414, kappa: 0.8768, kb_relative_information_score: 283.0327, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9415, predictive_accuracy: 0.9414, prior_entropy: 0.9645, recall: 0.9414, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4967, scimark_benchmark: 1012.3931, usercpu_time_millis: 920, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8953, kappa: 0.7805, kb_relative_information_score: 231.9179, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.8959, predictive_accuracy: 0.8951, prior_entropy: 0.9645, recall: 0.8951, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5752, scimark_benchmark: 1392.7734, usercpu_time_millis: 13850, usercpu_time_millis_testing: 13840, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9103, kappa: 0.8109, kb_relative_information_score: 226.0652, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9103, predictive_accuracy: 0.9105, prior_entropy: 0.9645, recall: 0.9105, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5588, scimark_benchmark: 1349.5699, usercpu_time_millis: 14940, usercpu_time_millis_testing: 14940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9415, kappa: 0.8772, kb_relative_information_score: 280.7799, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9418, predictive_accuracy: 0.9414, prior_entropy: 0.9645, recall: 0.9414, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4922, scimark_benchmark: 1374.6432, usercpu_time_millis: 2337210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2337200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 281.573, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9413, predictive_accuracy: 0.9414, prior_entropy: 0.9645, recall: 0.9414, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4951, scimark_benchmark: 1392.8795, usercpu_time_millis: 2454270, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2454110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9537, kappa: 0.9027, kb_relative_information_score: 291.6261, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9538, predictive_accuracy: 0.9537, prior_entropy: 0.9645, recall: 0.9537, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4414, scimark_benchmark: 1400.1283, usercpu_time_millis: 2359270, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2359210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9138, kappa: 0.8192, kb_relative_information_score: 262.6973, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9143, predictive_accuracy: 0.9136, prior_entropy: 0.9645, recall: 0.9136, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.6025, scimark_benchmark: 1352.228, usercpu_time_millis: 2540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.925, kappa: 0.8409, kb_relative_information_score: 219.1239, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9279, predictive_accuracy: 0.9259, prior_entropy: 0.9645, recall: 0.9259, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.4636, kb_relative_information_score: -0.1002, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.3735, predictive_accuracy: 0.6111, prior_entropy: 0.9645, recall: 0.6111, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.4875, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8799, kappa: 0.7478, kb_relative_information_score: 240.0653, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.8803, predictive_accuracy: 0.8796, prior_entropy: 0.9645, recall: 0.8796, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.9284, kappa: 0.8482, kb_relative_information_score: 263.2074, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.93, predictive_accuracy: 0.929, prior_entropy: 0.9645, recall: 0.929, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9407, kappa: 0.8743, kb_relative_information_score: 258.8197, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9433, predictive_accuracy: 0.9414, prior_entropy: 0.9645, recall: 0.9414, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9384, kappa: 0.8705, kb_relative_information_score: 280.8843, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9385, predictive_accuracy: 0.9383, prior_entropy: 0.9645, recall: 0.9383, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9378, kappa: 0.8682, kb_relative_information_score: 253.6525, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9392, predictive_accuracy: 0.9383, prior_entropy: 0.9645, recall: 0.9383, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9229, kappa: 0.8379, kb_relative_information_score: 269.4469, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.923, predictive_accuracy: 0.9228, prior_entropy: 0.9645, recall: 0.9228, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9293, kappa: 0.8521, kb_relative_information_score: 238.574, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.9305, predictive_accuracy: 0.929, prior_entropy: 0.9645, recall: 0.929, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.897, kappa: 0.7816, kb_relative_information_score: 244.6083, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4755, number_of_instances: 324, precision: 0.899, predictive_accuracy: 0.8981, prior_entropy: 0.9645, recall: 0.8981, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5531,

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