OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23487 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, kappa: 0.2462, kb_relative_information_score: 40.9601, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.5268, prior_entropy: 1.7898, recall: 0.5268, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 763.5274, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9802, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.107, root_relative_squared_error: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 748.2189, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 822.6513, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9534, kappa: 0.9324, kb_relative_information_score: 711.6674, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9541, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9666, kappa: 0.9514, kb_relative_information_score: 693.5575, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9606, kappa: 0.9427, kb_relative_information_score: 714.7643, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9612, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9475, kappa: 0.9237, kb_relative_information_score: 731.612, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9478, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.3792, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9486, kappa: 0.9257, kb_relative_information_score: 291.5496, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9507, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.2159, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.1148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 75.1275, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9335, kappa: 0.9033, kb_relative_information_score: 743.9371, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.934, predictive_accuracy: 0.9334, prior_entropy: 1.7898, recall: 0.9334, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 810.8251, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9558, kappa: 0.9358, kb_relative_information_score: 717.0784, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9566, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, kappa: 0.0301, kb_relative_information_score: 24.4351, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3936, prior_entropy: 1.7898, recall: 0.3936, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.604, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 820.4413, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9416, kappa: 0.9151, kb_relative_information_score: 85.6734, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 822.2988, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9287, kappa: 0.8964, kb_relative_information_score: 738.5837, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9292, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 810.7428, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9384, kappa: 0.9102, kb_relative_information_score: 766.6828, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9386, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8787, kappa: 0.8295, kb_relative_information_score: 601.1601, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8957, predictive_accuracy: 0.8811, prior_entropy: 1.7898, recall: 0.8811, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9834, kappa: 0.9758, kb_relative_information_score: 809.3834, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9838, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.1938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.2988, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.5348, kappa: 0.3592, kb_relative_information_score: 254.7563, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5428, predictive_accuracy: 0.5791, prior_entropy: 1.7898, recall: 0.5791, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 818.3774, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9827, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9583, kappa: 0.9393, kb_relative_information_score: 733.1922, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9589, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 757.8439, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9566, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.3122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9666, kappa: 0.9515, kb_relative_information_score: 738.3247, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9674, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 815.0277, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8896, kappa: 0.8395, kb_relative_information_score: 21.9976, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8924, predictive_accuracy: 0.8894, prior_entropy: 1.7898, recall: 0.8894, relative_absolute_error: 1.0707, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.0258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9606, kappa: 0.9429, kb_relative_information_score: 748.0493, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9617, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.3179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 811.5706, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.6866, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9522, kappa: 0.9306, kb_relative_information_score: 724.8604, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9528, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9632, kappa: 0.9466, kb_relative_information_score: 787.7748, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9646, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 817.8396, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 749.3016, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9694, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9535, kappa: 0.9324, kb_relative_information_score: 733.9057, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9544, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 801.0037, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9895, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 752.8107, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9655, kappa: 0.9499, kb_relative_information_score: 731.5504, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.1458, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 817.7788, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 673.6507, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 678.751, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9693, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9498, kb_relative_information_score: 761.0806, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.966, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.12, root_relative_squared_error: 0.2894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, kappa: 0.471, kb_relative_information_score: 161.969, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6421, prior_entropy: 1.7898, recall: 0.6421, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9236, kappa: 0.8892, kb_relative_information_score: 720.8441, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9243, predictive_accuracy: 0.9239, prior_entropy: 1.7898, recall: 0.9239, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 738.1914, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9847, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9535, kappa: 0.9323, kb_relative_information_score: 738.3272, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.954, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 732.0576, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 66.6471, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 819.1415, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9822, kappa: 0.9741, kb_relative_information_score: 804.9415, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 736.3083, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 810.8988, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.963, kappa: 0.9463, kb_relative_information_score: 723.3228, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9634, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kb_relative_information_score: 1.2938, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9594, kappa: 0.941, kb_relative_information_score: 719.5085, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.3427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9834, kappa: 0.9758, kb_relative_information_score: 725.7011, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.3139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 51.8007, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 1.0383, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.4953, kappa: 0.3028, kb_relative_information_score: 352.7007, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.559, predictive_accuracy: 0.5054, prior_entropy: 1.7898, recall: 0.5054, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9607, kappa: 0.9428, kb_relative_information_score: 688.1441, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9608, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9368, kappa: 0.9083, kb_relative_information_score: 737.8091, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9371, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 1.4156, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.0306, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9091, kappa: 0.8655, kb_relative_information_score: 720.1852, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9136, predictive_accuracy: 0.9084, prior_entropy: 1.7898, recall: 0.9084, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9311, kappa: 0.8998, kb_relative_information_score: 759.0664, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9312, predictive_accuracy: 0.931, prior_entropy: 1.7898, recall: 0.931, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.6407, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.7279, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.1141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9691, kappa: 0.955, kb_relative_information_score: 760.4898, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9695, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 817.6103, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 70.0286, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9611, kappa: 0.9427, kb_relative_information_score: 767.7336, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9632, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 2.0667, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 822.4638, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.1049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: 0.0006, kb_relative_information_score: 1.6555, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3698, prior_entropy: 1.7898, recall: 0.3698, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9429, kappa: 0.917, kb_relative_information_score: 85.5415, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9432, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 282.4075, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 820.4688, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9451, kappa: 0.9203, kb_relative_information_score: 750.4268, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9457, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.021, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.048, root_relative_squared_error: 0.1157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9369, kappa: 0.9083, kb_relative_information_score: 86.1347, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.937, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9037, kappa: 0.864, kb_relative_information_score: 361.3496, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9123, predictive_accuracy: 0.9073, prior_entropy: 1.7898, recall: 0.9073, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.311, root_relative_squared_error: 0.7502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 705.6852, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9428, kappa: 0.9169, kb_relative_information_score: 732.6917, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9439, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, kb_relative_information_score: 2.9566, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.6925, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 801.341, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9691, kappa: 0.955, kb_relative_information_score: 733.4387, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9695, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 821.5213, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.1144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9748, kappa: 0.9636, kb_relative_information_score: 791.4921, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9755, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.8248, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9451, kappa: 0.9201, kb_relative_information_score: 729.8155, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9456, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 52.2533, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 1.0377, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9607, kappa: 0.9427, kb_relative_information_score: 684.3588, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.961, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,

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

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

OpenML APIs