Task
Supervised Classification on AP_Lung_Uterus

Supervised Classification on AP_Lung_Uterus

Task 3970 Supervised Classification AP_Lung_Uterus 76 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8997, kappa: 0.8002, kb_relative_information_score: 190.2865, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9059, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.912, kappa: 0.824, kb_relative_information_score: 206.0252, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9121, predictive_accuracy: 0.912, prior_entropy: 1, recall: 0.912, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9399, kappa: 0.8801, kb_relative_information_score: 203.854, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9449, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9199, kappa: 0.8399, kb_relative_information_score: 187.8161, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9217, predictive_accuracy: 0.92, prior_entropy: 1, recall: 0.92, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.253, root_relative_squared_error: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.924, kappa: 0.848, kb_relative_information_score: 211.9964, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9243, predictive_accuracy: 0.924, prior_entropy: 1, recall: 0.924, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8756, kappa: 0.7518, kb_relative_information_score: 159.0965, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.88, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.904, kappa: 0.808, kb_relative_information_score: 201.7735, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9041, predictive_accuracy: 0.904, prior_entropy: 1, recall: 0.904, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.928, kappa: 0.856, kb_relative_information_score: 214.8703, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9281, predictive_accuracy: 0.928, prior_entropy: 1, recall: 0.928, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.254, root_relative_squared_error: 0.508, scimark_benchmark: 1150.4212, usercpu_time_millis: 1540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.3378, kb_relative_information_score: -0.0929, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.936, kappa: 0.872, kb_relative_information_score: 176.003, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9364, predictive_accuracy: 0.936, prior_entropy: 1, recall: 0.936, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.904, kappa: 0.808, kb_relative_information_score: 201.9955, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 1, recall: 0.904, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 1.9773, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.944, kappa: 0.888, kb_relative_information_score: 221.9973, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9445, predictive_accuracy: 0.944, prior_entropy: 1, recall: 0.944, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4733, scimark_benchmark: 1922.3298, usercpu_time_millis: 10546.875, usercpu_time_millis_testing: 4390.625, usercpu_time_millis_training: 6156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.932, kappa: 0.864, kb_relative_information_score: 215.9967, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9323, predictive_accuracy: 0.932, prior_entropy: 1, recall: 0.932, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5216, scimark_benchmark: 1922.3298, usercpu_time_millis: 10765.625, usercpu_time_millis_testing: 5421.875, usercpu_time_millis_training: 5343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 1.9773, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1922.3298, usercpu_time_millis: 25656.25, usercpu_time_millis_testing: 9375, usercpu_time_millis_training: 16281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 1.9773, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1280.301, usercpu_time_millis: 12078.125, usercpu_time_millis_testing: 6421.875, usercpu_time_millis_training: 5656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.3289, kb_relative_information_score: -0.4988, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.246, predictive_accuracy: 0.496, prior_entropy: 1, recall: 0.496, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0058, scimark_benchmark: 1692.3227, usercpu_time_millis: 569470, usercpu_time_millis_testing: 34770, usercpu_time_millis_training: 534700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 1.9773, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1605.4967, usercpu_time_millis: 33560, usercpu_time_millis_testing: 16420, usercpu_time_millis_training: 17140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 1.9773, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1374.474, usercpu_time_millis: 18100, usercpu_time_millis_testing: 9500, usercpu_time_millis_training: 8600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.944, kappa: 0.888, kb_relative_information_score: 221.9973, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9445, predictive_accuracy: 0.944, prior_entropy: 1, recall: 0.944, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4733, scimark_benchmark: 1599.7254, usercpu_time_millis: 8310, usercpu_time_millis_testing: 4240, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.932, kappa: 0.864, kb_relative_information_score: 215.9967, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9323, predictive_accuracy: 0.932, prior_entropy: 1, recall: 0.932, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5216, scimark_benchmark: 1391.2205, usercpu_time_millis: 12520, usercpu_time_millis_testing: 6130, usercpu_time_millis_training: 6390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 1.9773, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1665.974, usercpu_time_millis: 188406.25, usercpu_time_millis_testing: 50437.5, usercpu_time_millis_training: 137968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.3289, kb_relative_information_score: -0.287, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.246, predictive_accuracy: 0.496, prior_entropy: 1, recall: 0.496, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0029, scimark_benchmark: 942.9688, usercpu_time_millis: 252210, usercpu_time_millis_testing: 54610, usercpu_time_millis_training: 197600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.944, kappa: 0.888, kb_relative_information_score: 221.9973, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 1, recall: 0.944, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4733, scimark_benchmark: 1322.5849, usercpu_time_millis: 3570, usercpu_time_millis_testing: 2230, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.924, kappa: 0.848, kb_relative_information_score: 211.9964, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.924, predictive_accuracy: 0.924, prior_entropy: 1, recall: 0.924, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5514, scimark_benchmark: 1260.2598, usercpu_time_millis: 1640, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.912, kappa: 0.824, kb_relative_information_score: 205.9958, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9124, predictive_accuracy: 0.912, prior_entropy: 1, recall: 0.912, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5933, scimark_benchmark: 1080.4747, usercpu_time_millis: 7730, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 7650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.3289, kb_relative_information_score: -0.1682, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.246, predictive_accuracy: 0.496, prior_entropy: 1, recall: 0.496, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0031, scimark_benchmark: 1246.6429, usercpu_time_millis: 279010, usercpu_time_millis_testing: 69940, usercpu_time_millis_training: 209070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8397, kappa: 0.6802, kb_relative_information_score: 170.4614, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8433, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7816, scimark_benchmark: 1123.9917, usercpu_time_millis: 893810, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 893750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.896, kappa: 0.792, kb_relative_information_score: 196.734, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 1, recall: 0.896, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6422, scimark_benchmark: 1277.4213, usercpu_time_millis: 5150, usercpu_time_millis_testing: 4160, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 218.7496, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9407, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.4907, scimark_benchmark: 1370.5639, usercpu_time_millis: 94920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 94910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9239, kappa: 0.8481, kb_relative_information_score: 202.5506, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9263, predictive_accuracy: 0.924, prior_entropy: 1, recall: 0.924, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5378, scimark_benchmark: 1180.4344, usercpu_time_millis: 5180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9359, kappa: 0.8721, kb_relative_information_score: 200.8755, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9401, predictive_accuracy: 0.936, prior_entropy: 1, recall: 0.936, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4858, scimark_benchmark: 943.7862, usercpu_time_millis: 2420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 160.3754, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5225, scimark_benchmark: 1070.4142, usercpu_time_millis: 2350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.944, kappa: 0.888, kb_relative_information_score: 221.9973, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 1, recall: 0.944, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4733, scimark_benchmark: 1170.6681, usercpu_time_millis: 5130, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.924, kappa: 0.848, kb_relative_information_score: 212.8701, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.924, predictive_accuracy: 0.924, prior_entropy: 1, recall: 0.924, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5236, scimark_benchmark: 923.8363, usercpu_time_millis: 2500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.944, kappa: 0.888, kb_relative_information_score: 221.9973, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 1, recall: 0.944, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4733, scimark_benchmark: 1315.0558, usercpu_time_millis: 2560, usercpu_time_millis_testing: 1390, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.924, kappa: 0.848, kb_relative_information_score: 211.9964, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.924, predictive_accuracy: 0.924, prior_entropy: 1, recall: 0.924, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5514, scimark_benchmark: 1325.2596, usercpu_time_millis: 1480, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.912, kappa: 0.824, kb_relative_information_score: 205.9958, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9124, predictive_accuracy: 0.912, prior_entropy: 1, recall: 0.912, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5933, scimark_benchmark: 1364.7146, usercpu_time_millis: 4340, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8397, kappa: 0.6802, kb_relative_information_score: 170.6773, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8433, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7792, scimark_benchmark: 1368.114, usercpu_time_millis: 865180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 865140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.896, kappa: 0.792, kb_relative_information_score: 196.734, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 1, recall: 0.896, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6422, scimark_benchmark: 1069.5217, usercpu_time_millis: 5970, usercpu_time_millis_testing: 4870, usercpu_time_millis_training: 1100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9359, kappa: 0.8721, kb_relative_information_score: 200.8755, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9401, predictive_accuracy: 0.936, prior_entropy: 1, recall: 0.936, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4858, scimark_benchmark: 1069.5226, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.896, kappa: 0.792, kb_relative_information_score: 196.734, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 1, recall: 0.896, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6422, scimark_benchmark: 1326.1631, usercpu_time_millis: 3680, usercpu_time_millis_testing: 3680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.912, kappa: 0.8239, kb_relative_information_score: 206.8829, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.9124, predictive_accuracy: 0.912, prior_entropy: 1, recall: 0.912, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.5675, scimark_benchmark: 1184.6108, usercpu_time_millis: 1420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1410,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs