Task
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9886, kappa: 0.9749, kb_relative_information_score: 1651.2532, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9888, predictive_accuracy: 0.9884, prior_entropy: 1.2099, recall: 0.9884, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.2033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8814, kappa: 0.7463, kb_relative_information_score: 1230.1178, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8956, predictive_accuracy: 0.8773, prior_entropy: 1.2099, recall: 0.8773, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.7672, kappa: 0.5271, kb_relative_information_score: 635.0591, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8283, predictive_accuracy: 0.7465, prior_entropy: 1.2099, recall: 0.7465, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9697, kappa: 0.9337, kb_relative_information_score: 1589.7513, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9706, predictive_accuracy: 0.9693, prior_entropy: 1.2099, recall: 0.9693, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9057, kappa: 0.7961, kb_relative_information_score: 1318.7025, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.908, predictive_accuracy: 0.9051, prior_entropy: 1.2099, recall: 0.9051, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9009, kappa: 0.7881, kb_relative_information_score: 1295.0337, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9089, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8994, kappa: 0.7878, kb_relative_information_score: 1255.6308, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9095, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5854,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9371, kappa: 0.8665, kb_relative_information_score: 1400.3915, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9448, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9738, kappa: 0.9429, kb_relative_information_score: 1566.7596, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9748, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6843, kappa: 0.2837, kb_relative_information_score: 408.2667, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6786, predictive_accuracy: 0.7182, prior_entropy: 1.2099, recall: 0.7182, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1696.5282, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0235, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0299, root_relative_squared_error: 0.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9912, kb_relative_information_score: 1697.9739, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.996, predictive_accuracy: 0.9959, prior_entropy: 1.2099, recall: 0.9959, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.1226, scimark_benchmark: 1571.6208, usercpu_time_millis: 13790, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1665.5242, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9508, kappa: 0.8934, kb_relative_information_score: 1483.2176, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9626, kappa: 0.9184, kb_relative_information_score: 1513.7027, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9654, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1705.6742, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.019, root_relative_squared_error: 0.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, kappa: -0.0083, kb_relative_information_score: 37.8201, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6933, prior_entropy: 1.2099, recall: 0.6933, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9354, kappa: 0.8594, kb_relative_information_score: 1409.1819, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9366, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7558, kappa: 0.4975, kb_relative_information_score: 582.2794, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8262, predictive_accuracy: 0.7234, prior_entropy: 1.2099, recall: 0.7234, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9775, kappa: 0.951, kb_relative_information_score: 1582.6357, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9778, predictive_accuracy: 0.9774, prior_entropy: 1.2099, recall: 0.9774, relative_absolute_error: 0.1097, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, kappa: -0.0114, kb_relative_information_score: 40.9982, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6898, prior_entropy: 1.2099, recall: 0.6898, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9014, kappa: 0.7876, kb_relative_information_score: 1309.2142, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9058, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9558, kappa: 0.9037, kb_relative_information_score: 1492.4038, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9557, predictive_accuracy: 0.956, prior_entropy: 1.2099, recall: 0.956, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9308, kappa: 0.8492, kb_relative_information_score: 1408.3464, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9308, predictive_accuracy: 0.9311, prior_entropy: 1.2099, recall: 0.9311, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9046, kappa: 0.7941, kb_relative_information_score: 1305.832, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9075, predictive_accuracy: 0.9034, prior_entropy: 1.2099, recall: 0.9034, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9007, kappa: 0.7871, kb_relative_information_score: 1290.353, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9112, predictive_accuracy: 0.8964, prior_entropy: 1.2099, recall: 0.8964, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9937, kb_relative_information_score: 1690.5676, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.2099, recall: 0.9971, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.0874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9425, kappa: 0.875, kb_relative_information_score: 1440.0509, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9432, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9949, kb_relative_information_score: 1692.9032, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9978, predictive_accuracy: 0.9977, prior_entropy: 1.2099, recall: 0.9977, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7099, kappa: 0.3516, kb_relative_information_score: 592.6346, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6933, predictive_accuracy: 0.7338, prior_entropy: 1.2099, recall: 0.7338, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, kappa: -0.005, kb_relative_information_score: 34.6986, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6973, prior_entropy: 1.2099, recall: 0.6973, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8922, kappa: 0.7761, kb_relative_information_score: 1257.1571, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9032, predictive_accuracy: 0.8924, prior_entropy: 1.2099, recall: 0.8924, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.198, root_relative_squared_error: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.896, kappa: 0.7796, kb_relative_information_score: 1252.5705, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9045, predictive_accuracy: 0.8941, prior_entropy: 1.2099, recall: 0.8941, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8992, kappa: 0.7876, kb_relative_information_score: 1258.1912, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9089, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9015, kappa: 0.7904, kb_relative_information_score: 1260.4512, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9104, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9703, kappa: 0.9354, kb_relative_information_score: 1593.8022, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9702, predictive_accuracy: 0.9705, prior_entropy: 1.2099, recall: 0.9705, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8448, kappa: 0.6938, kb_relative_information_score: -905.4935, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8797, predictive_accuracy: 0.8681, prior_entropy: 1.2099, recall: 0.8681, relative_absolute_error: 1.5954, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.937, kappa: 0.8711, kb_relative_information_score: 1314.883, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9435, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.4864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9378, kappa: 0.8644, kb_relative_information_score: 1380.5445, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9377, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9563, kappa: 0.9055, kb_relative_information_score: 1386.8552, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9591, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.961, kappa: 0.9153, kb_relative_information_score: 1447.317, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9636, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9283, kappa: 0.8556, kb_relative_information_score: 1249.3315, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9384, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9728, kappa: 0.9407, kb_relative_information_score: -724.8217, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 1.5053, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1695.3176, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 0.0263, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9761, kappa: 0.948, kb_relative_information_score: 1615.7249, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.976, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9432, kappa: 0.8798, kb_relative_information_score: 1324.2043, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9472, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9041, kappa: 0.8216, kb_relative_information_score: 1061.3286, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9321, predictive_accuracy: 0.919, prior_entropy: 1.2099, recall: 0.919, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9202, kappa: 0.8444, kb_relative_information_score: 1198.7998, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9332, predictive_accuracy: 0.9282, prior_entropy: 1.2099, recall: 0.9282, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9134, kappa: 0.8124, kb_relative_information_score: 1344.7266, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9155, predictive_accuracy: 0.9126, prior_entropy: 1.2099, recall: 0.9126, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8972, kappa: 0.8039, kb_relative_information_score: 977.626, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9206, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9615, kappa: 0.9164, kb_relative_information_score: 1478.8381, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9639, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, kappa: 0.351, kb_relative_information_score: 700.3618, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7679, prior_entropy: 1.2099, recall: 0.7679, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.6674, kappa: 0.2421, kb_relative_information_score: 410.1924, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6499, predictive_accuracy: 0.7049, prior_entropy: 1.2099, recall: 0.7049, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9766, kappa: 0.9489, kb_relative_information_score: 1589.5106, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9775, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9501, kappa: 0.8937, kb_relative_information_score: 1300.3365, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9542, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9418, kappa: 0.8735, kb_relative_information_score: 1442.6536, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9424, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9582, kappa: 0.9093, kb_relative_information_score: 1452.2654, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.961, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9648, kappa: 0.9236, kb_relative_information_score: 1501.1615, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9668, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9431, kappa: 0.8811, kb_relative_information_score: 1308.0031, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9489, predictive_accuracy: 0.9444, prior_entropy: 1.2099, recall: 0.9444, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9329, kappa: 0.8616, kb_relative_information_score: 1278.415, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.963, kappa: 0.9197, kb_relative_information_score: 1435.9384, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9649, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8663, kappa: 0.7388, kb_relative_information_score: 900.8278, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.858, predictive_accuracy: 0.8889, prior_entropy: 1.2099, recall: 0.8889, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.6634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9592, kappa: 0.9117, kb_relative_information_score: 1418.3514, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9619, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9493, kappa: 0.8913, kb_relative_information_score: 1344.3811, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9522, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9354, kappa: 0.8665, kb_relative_information_score: 1249.6253, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9409, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, kappa: 0.8261, kb_relative_information_score: 1010.1252, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.9236, prior_entropy: 1.2099, recall: 0.9236, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9474, kappa: 0.8878, kb_relative_information_score: 1329.1889, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9511, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9631, kappa: 0.9199, kb_relative_information_score: 1476.4181, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9653, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.92, kappa: 0.8424, kb_relative_information_score: 1253.5387, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.934, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9614, kappa: 0.9162, kb_relative_information_score: 1428.6741, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9637, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, kappa: 0.7234, kb_relative_information_score: 888.6151, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8819, prior_entropy: 1.2099, recall: 0.8819, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.6703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9489, kappa: 0.8908, kb_relative_information_score: 1314.1979, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9521, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9671, kappa: 0.9285, kb_relative_information_score: 1513.1557, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9689, predictive_accuracy: 0.9664, prior_entropy: 1.2099, recall: 0.9664, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8973, kappa: 0.8058, kb_relative_information_score: 1008.4521, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9238, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, kappa: 0.7791, kb_relative_information_score: 1021.4166, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8999, prior_entropy: 1.2099, recall: 0.8999, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9766, kappa: 0.9491, kb_relative_information_score: 1576.5049, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9777, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.964, kappa: 0.9221, kb_relative_information_score: 1479.8319, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9659, predictive_accuracy: 0.9635, prior_entropy: 1.2099, recall: 0.9635, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9493, kappa: 0.8923, kb_relative_information_score: 1288.3578, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.953, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.164, root_relative_squared_error: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9592, kappa: 0.9117, kb_relative_information_score: 1443.309, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9619, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, kappa: 0.7767, kb_relative_information_score: 983.4495, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.9022, prior_entropy: 1.2099, recall: 0.9022, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9383, kappa: 0.8715, kb_relative_information_score: 1311.862, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.944, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9414, kappa: 0.877, kb_relative_information_score: 1253.9767, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9464, predictive_accuracy: 0.9427, prior_entropy: 1.2099, recall: 0.9427, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.961, kappa: 0.9153, kb_relative_information_score: 1458.1454, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9636, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9542, kappa: 0.9008, kb_relative_information_score: 1462.8714, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9572, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9488, kappa: 0.8914, kb_relative_information_score: 1337.0131, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9535, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9626, kappa: 0.9187, kb_relative_information_score: 1454.0879, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9649, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9677, kappa: 0.9294, kb_relative_information_score: 1560.2103, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9693, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9604, kappa: 0.9142, kb_relative_information_score: 1436.4033, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9631, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9731, kappa: 0.9414, kb_relative_information_score: 1531.7537, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.975, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9343, kappa: 0.8593, kb_relative_information_score: 1394.3118, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9377, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9742, kappa: 0.9439, kb_relative_information_score: 1595.3277, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9751, predictive_accuracy: 0.974, prior_entropy: 1.2099, recall: 0.974, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8984, kappa: 0.8118, kb_relative_information_score: 1123.7868, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8893, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, kappa: 0.449, kb_relative_information_score: -857.2031, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7882, prior_entropy: 1.2099, recall: 0.7882, relative_absolute_error: 1.5576, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9489, kappa: 0.8926, kb_relative_information_score: 1232.5336, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9534, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9304, kappa: 0.8566, kb_relative_information_score: 1272.7307, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9401, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9252, kappa: 0.8501, kb_relative_information_score: 1246.4257, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.935, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9356, kappa: 0.8641, kb_relative_information_score: 1294.5538, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9431, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9631, kappa: 0.9199, kb_relative_information_score: 1467.9258, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9652, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9603, kappa: 0.914, kb_relative_information_score: 1414.9076, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9629, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4077,

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

OpenML APIs