Task
Supervised Classification on kc1-top5

Supervised Classification on kc1-top5

Task 3898 Supervised Classification kc1-top5 560 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.9215, kappa: 0.2898, kb_relative_information_score: -22.655, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9264, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2491, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.9264, kappa: 0.2503, kb_relative_information_score: -52.5412, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9224, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.904, kappa: -0.0382, kb_relative_information_score: -60.4371, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8912, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 1.0246, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.232, root_relative_squared_error: 1.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -21.3697, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2644, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.918, kb_relative_information_score: -11.802, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.9085, kappa: 0.1714, kb_relative_information_score: -40.2235, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9139, predictive_accuracy: 0.9034, prior_entropy: 0.3323, recall: 0.9034, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2896, root_relative_squared_error: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.9217, kappa: 0.2269, kb_relative_information_score: -0.146, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9195, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.1583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.9215, kappa: 0.2898, kb_relative_information_score: -15.5403, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9264, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.272, root_relative_squared_error: 1.1907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.9128, kappa: 0.1879, kb_relative_information_score: -41.5193, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9154, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3066, root_relative_squared_error: 1.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.9448, kappa: 0.4708, kb_relative_information_score: 24.0919, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9448, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.9325, kappa: 0.4378, kb_relative_information_score: -13.0928, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9446, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2775, root_relative_squared_error: 1.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.918, kb_relative_information_score: -7.0181, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.9276, kappa: 0.4134, kb_relative_information_score: -14.1103, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9429, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2871, root_relative_squared_error: 1.2569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.9411, kappa: 0.4002, kb_relative_information_score: 4.2985, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9384, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.9217, kappa: 0.2269, kb_relative_information_score: -70.0834, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9195, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.9111, kappa: -0.0226, kb_relative_information_score: -26.4213, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.892, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2354, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.918, kb_relative_information_score: -11.802, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.9264, kappa: 0.2503, kb_relative_information_score: -34.101, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9224, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.918, kb_relative_information_score: -11.3168, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.918, kb_relative_information_score: -8.3294, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.9005, kappa: -0.0443, kb_relative_information_score: -25.2266, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8908, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.282, root_relative_squared_error: 1.2349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.9064, kappa: 0.2804, kb_relative_information_score: -63.6816, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9293, predictive_accuracy: 0.8897, prior_entropy: 0.3323, recall: 0.8897, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.931, kappa: 0.3385, kb_relative_information_score: -2.5728, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2639, root_relative_squared_error: 1.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.952, kappa: 0.4809, kb_relative_information_score: 60.1886, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9527, predictive_accuracy: 0.9586, prior_entropy: 0.3323, recall: 0.9586, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.9158, kappa: 0.1163, kb_relative_information_score: -40.4392, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9086, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.216, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.9276, kappa: 0.4134, kb_relative_information_score: -18.8915, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9429, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2773, root_relative_squared_error: 1.2143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8221, kappa: 0.1446, kb_relative_information_score: -310.17, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.926, predictive_accuracy: 0.7586, prior_entropy: 0.3323, recall: 0.7586, relative_absolute_error: 2.2317, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.4905, root_relative_squared_error: 2.1475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.9005, kappa: -0.0443, kb_relative_information_score: -25.2266, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8908, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.282, root_relative_squared_error: 1.2349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9336, kappa: 0.2126, kb_relative_information_score: 47.787, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9541, predictive_accuracy: 0.9517, prior_entropy: 0.3323, recall: 0.9517, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.9276, kappa: 0.4134, kb_relative_information_score: -53.8588, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9429, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2531, root_relative_squared_error: 1.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.9064, kappa: 0.2804, kb_relative_information_score: -63.215, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9293, predictive_accuracy: 0.8897, prior_entropy: 0.3323, recall: 0.8897, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4502, f_measure: 0.918, kb_relative_information_score: -16.7804, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2321, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.936, kappa: 0.3674, kb_relative_information_score: -33.3863, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9342, predictive_accuracy: 0.9379, prior_entropy: 0.3323, recall: 0.9379, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.8874, kappa: 0.0362, kb_relative_information_score: -88.6309, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8997, predictive_accuracy: 0.8759, prior_entropy: 0.3323, recall: 0.8759, relative_absolute_error: 1.1322, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3523, root_relative_squared_error: 1.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8999, kappa: 0.1433, kb_relative_information_score: -74.5116, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9114, predictive_accuracy: 0.8897, prior_entropy: 0.3323, recall: 0.8897, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3072, root_relative_squared_error: 1.345, scimark_benchmark: 1586.7278, usercpu_time_millis: 2062.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.9477, kappa: 0.5265, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9514, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 1280.301, usercpu_time_millis: 11078.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 11062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, f_measure: 0.886, kappa: -0.062, kb_relative_information_score: -76.2293, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8892, predictive_accuracy: 0.8828, prior_entropy: 0.3323, recall: 0.8828, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3424, root_relative_squared_error: 1.4992, scimark_benchmark: 1280.301, usercpu_time_millis: 5343.75, usercpu_time_millis_training: 5343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.9169, kappa: 0.2691, kb_relative_information_score: -40.0259, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9246, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2723, root_relative_squared_error: 1.192, scimark_benchmark: 1365.6088, usercpu_time_millis: 2160, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 1381.6745, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 1386.285, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.9477, kappa: 0.5265, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9514, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 1658.9011, usercpu_time_millis: 2010, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, f_measure: 0.886, kappa: -0.062, kb_relative_information_score: -76.2293, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8892, predictive_accuracy: 0.8828, prior_entropy: 0.3323, recall: 0.8828, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3424, root_relative_squared_error: 1.4992, scimark_benchmark: 1604.029, usercpu_time_millis: 2320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8999, kappa: 0.1433, kb_relative_information_score: -74.1085, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9114, predictive_accuracy: 0.8897, prior_entropy: 0.3323, recall: 0.8897, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2887, root_relative_squared_error: 1.2642, scimark_benchmark: 1665.974, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.9041, kappa: 0.1567, kb_relative_information_score: -64.8842, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9126, predictive_accuracy: 0.8966, prior_entropy: 0.3323, recall: 0.8966, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.2956, scimark_benchmark: 1417.7174, usercpu_time_millis: 7010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7000,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.9064, kappa: 0.2804, kb_relative_information_score: -63.215, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9293, predictive_accuracy: 0.8897, prior_entropy: 0.3323, recall: 0.8897, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.4424, scimark_benchmark: 1250.7411, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.9412, kappa: 0.3439, kb_relative_information_score: 47.787, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9417, predictive_accuracy: 0.9517, prior_entropy: 0.3323, recall: 0.9517, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.962, scimark_benchmark: 1188.3378, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.9215, kappa: 0.2898, kb_relative_information_score: -43.7261, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9264, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2629, root_relative_squared_error: 1.1511, scimark_benchmark: 1206.6361, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.8833, kappa: 0.0289, kb_relative_information_score: -104.0083, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.899, predictive_accuracy: 0.869, prior_entropy: 0.3323, recall: 0.869, relative_absolute_error: 1.16, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.5261, scimark_benchmark: 1334.2776, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.9464, kappa: 0.4377, kb_relative_information_score: 43.5917, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9442, predictive_accuracy: 0.9517, prior_entropy: 0.3323, recall: 0.9517, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9553, scimark_benchmark: 1234.9511, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.9217, kappa: 0.2269, kb_relative_information_score: -8.1213, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9195, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2749, root_relative_squared_error: 1.2036, scimark_benchmark: 1199.4636, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.9411, kappa: 0.4002, kb_relative_information_score: 23.6626, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9384, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9836, scimark_benchmark: 926.0034, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.9041, kappa: 0.1567, kb_relative_information_score: -51.4261, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9126, predictive_accuracy: 0.8966, prior_entropy: 0.3323, recall: 0.8966, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3216, root_relative_squared_error: 1.4082, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4644, f_measure: 0.904, kappa: -0.0382, kb_relative_information_score: -39.3045, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8912, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 1.11, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2725, root_relative_squared_error: 1.1929, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.9311, kappa: 0.277, kb_relative_information_score: -39.3945, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9264, predictive_accuracy: 0.9379, prior_entropy: 0.3323, recall: 0.9379, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.9158, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.9217, kappa: 0.2269, kb_relative_information_score: -7.9466, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9195, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2749, root_relative_squared_error: 1.2035, scimark_benchmark: 939.3869, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.918, kb_relative_information_score: -11.802, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0016, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.9116, kappa: 0.1003, kb_relative_information_score: -12.825, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9064, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.1802, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.9064, kappa: 0.2804, kb_relative_information_score: -63.215, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9293, predictive_accuracy: 0.8897, prior_entropy: 0.3323, recall: 0.8897, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.4424, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.9412, kappa: 0.3439, kb_relative_information_score: 47.787, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9417, predictive_accuracy: 0.9517, prior_entropy: 0.3323, recall: 0.9517, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.962, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.9041, kappa: 0.1567, kb_relative_information_score: -51.4261, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9126, predictive_accuracy: 0.8966, prior_entropy: 0.3323, recall: 0.8966, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3216, root_relative_squared_error: 1.4082, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.9215, kappa: 0.2898, kb_relative_information_score: -43.279, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9264, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2612, root_relative_squared_error: 1.1434, scimark_benchmark: 1925.3565, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.8833, kappa: 0.0289, kb_relative_information_score: -104.0083, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.899, predictive_accuracy: 0.869, prior_entropy: 0.3323, recall: 0.869, relative_absolute_error: 1.16, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.5261, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.9464, kappa: 0.4377, kb_relative_information_score: 43.5917, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9442, predictive_accuracy: 0.9517, prior_entropy: 0.3323, recall: 0.9517, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9553, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.9264, kappa: 0.2503, kb_relative_information_score: 4.2949, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9224, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2467, root_relative_squared_error: 1.0802, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4644, f_measure: 0.904, kappa: -0.0382, kb_relative_information_score: -39.3045, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8912, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 1.11, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2725, root_relative_squared_error: 1.1929, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.936, kappa: 0.3079, kb_relative_information_score: -33.7188, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9322, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.9351, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.918, kb_relative_information_score: -11.802, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0016, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.9116, kappa: 0.1003, kb_relative_information_score: -12.825, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9064, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.1802, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -21.3697, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2644, root_relative_squared_error: 1.1576, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9169, kappa: 0.2691, kb_relative_information_score: -40.4623, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9246, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.26, root_relative_squared_error: 1.1383, scimark_benchmark: 1834.908, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.9217, kappa: 0.2269, kb_relative_information_score: -7.9466, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9195, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2749, root_relative_squared_error: 1.2035, scimark_benchmark: 1834.908, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.9217, kappa: 0.2269, kb_relative_information_score: -7.9466, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9195, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2749, root_relative_squared_error: 1.2035, scimark_benchmark: 1788.6668, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.9116, kappa: 0.1003, kb_relative_information_score: -21.4701, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9064, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2772, root_relative_squared_error: 1.2135, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.931, kappa: 0.3385, kb_relative_information_score: 0.5268, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2486, root_relative_squared_error: 1.0883, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.9264, kappa: 0.2503, kb_relative_information_score: -3.2856, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9224, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0863, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.931, kappa: 0.3385, kb_relative_information_score: -20.2859, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2352, root_relative_squared_error: 1.0296, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.9146, kappa: -0.0124, kb_relative_information_score: 22.9837, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8923, predictive_accuracy: 0.9379, prior_entropy: 0.3323, recall: 0.9379, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2491, root_relative_squared_error: 1.0908, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.9412, kappa: 0.3439, kb_relative_information_score: 47.787, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9417, predictive_accuracy: 0.9517, prior_entropy: 0.3323, recall: 0.9517, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.962, scimark_benchmark: 1068.1006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.8833, kappa: 0.0289, kb_relative_information_score: -104.0083, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.899, predictive_accuracy: 0.869, prior_entropy: 0.3323, recall: 0.869, relative_absolute_error: 1.16, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.5261, scimark_benchmark: 1567.5685, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -21.3697, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2644, root_relative_squared_error: 1.1576, scimark_benchmark: 903.865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.918, kb_relative_information_score: -24.5394, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9595, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -4.2048, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2414, root_relative_squared_error: 1.0569, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.9346, kappa: 0.4082, kb_relative_information_score: 14.5326, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9389, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.925, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.918, kb_relative_information_score: -12.2294, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9415, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.9146, kappa: -0.0124, kb_relative_information_score: -11.1964, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8923, predictive_accuracy: 0.9379, prior_entropy: 0.3323, recall: 0.9379, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9693, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.918, kb_relative_information_score: -3.4541, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.9163, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, f_measure: 0.936, kappa: 0.3079, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9322, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.9041, kappa: 0.1567, kb_relative_information_score: -51.4261, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9126, predictive_accuracy: 0.8966, prior_entropy: 0.3323, recall: 0.8966, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3216, root_relative_squared_error: 1.4082, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4644, f_measure: 0.904, kappa: -0.0382, kb_relative_information_score: -39.3045, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8912, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 1.11, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2725, root_relative_squared_error: 1.1929, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4571, f_measure: 0.9076, kappa: -0.031, kb_relative_information_score: -28.8715, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8916, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 1.0349, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2602, root_relative_squared_error: 1.1393, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.918, kb_relative_information_score: -11.802, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0016, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.918, kb_relative_information_score: -11.802, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0016, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.9411, kappa: 0.4002, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9384, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.9202, kappa: 0.3356, kb_relative_information_score: -26.2221, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9332, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2928, root_relative_squared_error: 1.282, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.9064, kappa: 0.2804, kb_relative_information_score: -63.215, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9293, predictive_accuracy: 0.8897, prior_entropy: 0.3323, recall: 0.8897, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.4424, scimark_benchmark: 1732.2066,

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