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: 0.4925, kb_relative_information_score: 1.8443, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9988, 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: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 810.6578, mean_absolute_error: 0.0188, 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: 0.0546, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9618, kappa: 0.9445, kb_relative_information_score: 732.4774, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9625, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9691, kappa: 0.955, kb_relative_information_score: 84.1879, mean_absolute_error: 0.3449, 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: 1.0031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, kappa: 0.139, kb_relative_information_score: 93.2101, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4328, prior_entropy: 1.7898, recall: 0.4328, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.2315, 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: 0.0369, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9833, kappa: 0.9757, kb_relative_information_score: 672.8572, mean_absolute_error: 0.1008, 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: 0.2932, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 747.9654, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.131, root_relative_squared_error: 0.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 2.5376, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9984, 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: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.5169, mean_absolute_error: 0.0125, 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: 0.0363, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9607, kappa: 0.9427, kb_relative_information_score: 706.3162, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9611, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.3547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9583, kappa: 0.9393, kb_relative_information_score: 736.2665, mean_absolute_error: 0.0586, 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: 0.1705, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 814.6295, mean_absolute_error: 0.0164, 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: 0.0476, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9834, kappa: 0.9758, kb_relative_information_score: 809.7837, mean_absolute_error: 0.0176, 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: 0.0512, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.1902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.0639, mean_absolute_error: 0.0138, 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: 0.04, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 2.5632, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9983, 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: 0.9959, f_measure: 0.9523, kappa: 0.931, kb_relative_information_score: 761.0099, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9526, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9428, kappa: 0.9167, kb_relative_information_score: 711.9748, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.943, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.1405, mean_absolute_error: 0.0137, 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: 0.0398, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9509, kappa: 0.9289, kb_relative_information_score: 761.0944, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9517, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.3191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9558, kappa: 0.9358, kb_relative_information_score: 705.9311, mean_absolute_error: 0.0759, 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: 0.2208, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9596, kappa: 0.9411, kb_relative_information_score: 85.8003, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9599, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 35.0096, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 1.0566, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9629, kappa: 0.9464, kb_relative_information_score: 708.4724, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9652, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, kappa: 0.0301, kb_relative_information_score: 9.5941, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3924, prior_entropy: 1.7898, recall: 0.3924, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.414, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.8305, kappa: 0.7551, kb_relative_information_score: 521.0067, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8866, predictive_accuracy: 0.8371, prior_entropy: 1.7898, recall: 0.8371, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.6833, 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: 0.0489, root_relative_squared_error: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 770.6873, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9825, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, 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,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9834, kappa: 0.9758, kb_relative_information_score: 802.771, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9836, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, kappa: 0.7592, kb_relative_information_score: 27.6989, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.8371, prior_entropy: 1.7898, recall: 0.8371, relative_absolute_error: 1.0638, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 285.7474, mean_absolute_error: 0.2513, 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: 0.7307, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 667.8882, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kb_relative_information_score: 1.3853, 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: 0.9975, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 363.7498, mean_absolute_error: 0.216, 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: 0.6281, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9593, kappa: 0.9411, kb_relative_information_score: 781.5333, mean_absolute_error: 0.0282, 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: 0.082, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.2965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9702, kappa: 0.9566, kb_relative_information_score: 723.467, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9705, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.3172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 753.307, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.114, root_relative_squared_error: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9476, kappa: 0.9237, kb_relative_information_score: 743.2484, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9481, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.7087, 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: 0.036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.1042, 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: 0.0355, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 708.998, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9534, kappa: 0.9327, kb_relative_information_score: 330.7853, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9563, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.969, kappa: 0.955, kb_relative_information_score: 756.1676, mean_absolute_error: 0.0481, 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: 0.14, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9643, kappa: 0.9483, kb_relative_information_score: 789.4294, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9656, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.8387, mean_absolute_error: 0.0123, 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: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 816.1813, mean_absolute_error: 0.0154, 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: 0.0449, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.8279, 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: 0.0362, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.9504, mean_absolute_error: 0.0117, 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: 0.0341, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0449, root_relative_squared_error: 0.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9499, kappa: 0.9274, kb_relative_information_score: 753.9428, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9505, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.14, root_relative_squared_error: 0.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.8518, mean_absolute_error: 0.0117, 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: 0.034, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9323, kappa: 0.9014, kb_relative_information_score: 85.2196, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9326, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9644, kappa: 0.9483, kb_relative_information_score: 688.7164, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9655, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.937, kappa: 0.9084, kb_relative_information_score: 85.6703, mean_absolute_error: 0.3443, 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: 1.0012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9368, kappa: 0.9083, kb_relative_information_score: 736.0339, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9376, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: 0.0006, kb_relative_information_score: 1.832, 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: 0.9999, 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: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.0035, mean_absolute_error: 0.0123, 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: 0.0357, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, kappa: 0.1699, kb_relative_information_score: 139.8242, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4507, prior_entropy: 1.7898, recall: 0.4507, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9594, kappa: 0.9411, kb_relative_information_score: 735.8161, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9604, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 438.6668, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.7107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9324, kappa: 0.9016, kb_relative_information_score: 762.7058, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9326, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9595, kappa: 0.9411, kb_relative_information_score: 745.086, mean_absolute_error: 0.0537, 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: 0.1561, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.3166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.963, kappa: 0.9463, kb_relative_information_score: 747.177, mean_absolute_error: 0.053, 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: 0.1542, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9377, kappa: 0.9099, kb_relative_information_score: 738.9625, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9388, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 20.1822, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 1.073, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 731.9077, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9696, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9547, kappa: 0.9341, kb_relative_information_score: 722.8757, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9552, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.141, root_relative_squared_error: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9325, kappa: 0.9016, kb_relative_information_score: 762.8944, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9329, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 761.1918, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.114, root_relative_squared_error: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 822.4743, mean_absolute_error: 0.0114, 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: 0.0332, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 811.2872, mean_absolute_error: 0.0184, 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: 0.0534, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 2.0287, 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: 0.9987, 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: 0.9985, f_measure: 0.9678, kappa: 0.9531, kb_relative_information_score: 689.6959, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9714, kappa: 0.9585, kb_relative_information_score: 757.6702, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9721, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9452, kappa: 0.9202, kb_relative_information_score: 726.2429, mean_absolute_error: 0.0633, 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: 0.1839, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.3512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 694.2827, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 766.563, mean_absolute_error: 0.0414, 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: 0.1204, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9691, kappa: 0.955, kb_relative_information_score: 749.5749, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9696, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9193, kappa: 0.8843, kb_relative_information_score: 619.79, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9242, predictive_accuracy: 0.9203, prior_entropy: 1.7898, recall: 0.9203, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9845, kappa: 0.9774, kb_relative_information_score: 780.5877, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9849, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9833, kappa: 0.9757, kb_relative_information_score: 666.9313, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9678, kappa: 0.9533, kb_relative_information_score: 767.8008, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 810.4805, mean_absolute_error: 0.0188, 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: 0.0548, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 72.6554, mean_absolute_error: 0.3493, 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: 1.0157, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9595, kappa: 0.9411, kb_relative_information_score: 740.7859, mean_absolute_error: 0.0557, 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: 0.1621, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9606, kappa: 0.9427, kb_relative_information_score: 693.4652, mean_absolute_error: 0.0857, 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: 0.2493, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, kappa: 0.4735, kb_relative_information_score: 161.4626, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6433, prior_entropy: 1.7898, recall: 0.6433, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 731.2779, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.3202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 285.6962, mean_absolute_error: 0.2513, 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: 0.7308, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 733.9931, mean_absolute_error: 0.0628, 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: 0.1825, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9605, kappa: 0.9428, kb_relative_information_score: 773.2931, mean_absolute_error: 0.0352, 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: 0.1024, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9678, kappa: 0.9532, kb_relative_information_score: 698.4361, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9393, kappa: 0.9115, kb_relative_information_score: 710.1379, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9397, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9892, kappa: 0.9844, kb_relative_information_score: 78.1025, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.1531, 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: 0.0481, root_relative_squared_error: 0.1159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 814.709, mean_absolute_error: 0.0163, 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: 0.0475, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 797.4286, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9884, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.3803, kappa: 0.1688, kb_relative_information_score: 134.5421, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5602, predictive_accuracy: 0.4697, prior_entropy: 1.7898, recall: 0.4697, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9618,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs