OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 21035 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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21035 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9512, kappa: 0.9291, kb_relative_information_score: 779.4352, mean_absolute_error: 0.026, 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: 0.0755, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 811.924, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.2064, kb_relative_information_score: 0.4529, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0001, 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: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, 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: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 833.0628, mean_absolute_error: 0.0043, 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: 0.0125, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.035, root_relative_squared_error: 0.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.2454, mean_absolute_error: 0.0009, 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: 0.0026, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 831.9383, mean_absolute_error: 0.0041, 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: 0.012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 832.9569, mean_absolute_error: 0.0036, 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: 0.0104, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9916, kappa: 0.9879, kb_relative_information_score: 367.6271, mean_absolute_error: 0.2508, 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: 0.7293, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 835.1872, mean_absolute_error: 0.0024, 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: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8731, kappa: 0.8144, kb_relative_information_score: 27.3865, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8857, predictive_accuracy: 0.8751, prior_entropy: 1.7898, recall: 0.8751, relative_absolute_error: 1.063, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4224, root_relative_squared_error: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9213, kappa: 0.8856, kb_relative_information_score: 747.6174, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9221, predictive_accuracy: 0.9215, prior_entropy: 1.7898, recall: 0.9215, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 793.1527, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.974, kappa: 0.962, kb_relative_information_score: 800.7762, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9743, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8723, kappa: 0.8134, kb_relative_information_score: 558.7383, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8767, predictive_accuracy: 0.8728, prior_entropy: 1.7898, recall: 0.8728, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.4147, kappa: 0.3351, kb_relative_information_score: 350.3891, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3367, predictive_accuracy: 0.5565, prior_entropy: 1.7898, recall: 0.5565, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9223, kappa: 0.8874, kb_relative_information_score: 731.0578, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9226, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.95, kappa: 0.9273, kb_relative_information_score: 776.5825, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9393, kappa: 0.9117, kb_relative_information_score: 757.5497, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9393, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9261, kappa: 0.8926, kb_relative_information_score: 745.8336, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9261, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9655, kappa: 0.9498, kb_relative_information_score: 769.6596, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9573, kappa: 0.9378, kb_relative_information_score: 765.4448, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9574, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9496, kappa: 0.9267, kb_relative_information_score: 32.1563, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9535, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 1.0575, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.4144, kappa: 0.3367, kb_relative_information_score: 353.0643, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3351, predictive_accuracy: 0.5565, prior_entropy: 1.7898, recall: 0.5565, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 814.7729, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 827.6775, mean_absolute_error: 0.0059, 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: 0.0173, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9182, kappa: 0.881, kb_relative_information_score: 715.8237, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9188, predictive_accuracy: 0.918, prior_entropy: 1.7898, recall: 0.918, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 728.8909, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 826.1149, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.072, root_relative_squared_error: 0.1736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 369.7034, mean_absolute_error: 0.2501, 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: 0.7273, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9679, kappa: 0.9534, kb_relative_information_score: 804.8856, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.968, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 833.6761, mean_absolute_error: 0.0032, 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: 0.0094, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 718.613, mean_absolute_error: 0.0765, 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: 0.2223, 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: 0.9657, f_measure: 0.9524, kappa: 0.9308, kb_relative_information_score: 778.3964, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 668.8709, mean_absolute_error: 0.1061, 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: 0.3085, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 832.5262, mean_absolute_error: 0.0043, 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: 0.0126, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9499, kappa: 0.9273, kb_relative_information_score: 771.2894, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9504, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 831.2805, mean_absolute_error: 0.004, 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: 0.0118, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8439, kappa: 0.7814, kb_relative_information_score: 490.9535, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8593, predictive_accuracy: 0.8526, prior_entropy: 1.7898, recall: 0.8526, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9037, kappa: 0.8599, kb_relative_information_score: 728.0139, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9039, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 832.9304, mean_absolute_error: 0.0042, 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: 0.0122, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0363, root_relative_squared_error: 0.0875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.945, kappa: 0.9203, kb_relative_information_score: 760.3501, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9459, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 826.6532, mean_absolute_error: 0.0082, 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: 0.0237, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9405, kappa: 0.9136, kb_relative_information_score: 757.4092, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9414, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.16, root_relative_squared_error: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 369.1143, mean_absolute_error: 0.2503, 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: 0.7279, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9251, kappa: 0.8913, kb_relative_information_score: 740.8689, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9258, predictive_accuracy: 0.9251, prior_entropy: 1.7898, recall: 0.9251, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8512, kappa: 0.8193, kb_relative_information_score: 509.8069, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8318, predictive_accuracy: 0.8775, prior_entropy: 1.7898, recall: 0.8775, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.6411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9262, kappa: 0.8929, kb_relative_information_score: 730.2837, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9272, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9225, kappa: 0.8871, kb_relative_information_score: 707.6435, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9251, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9225, kappa: 0.8871, kb_relative_information_score: 707.6435, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9251, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9038, kappa: 0.8598, kb_relative_information_score: 694.2255, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9065, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.6589, kappa: 0.5394, kb_relative_information_score: 428.0455, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6546, predictive_accuracy: 0.7004, prior_entropy: 1.7898, recall: 0.7004, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8615, kappa: 0.8349, kb_relative_information_score: 482.6627, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8407, predictive_accuracy: 0.8882, prior_entropy: 1.7898, recall: 0.8882, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.95, kappa: 0.9273, kb_relative_information_score: 774.9412, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9502, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8874, kappa: 0.8346, kb_relative_information_score: 664.6631, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9013, predictive_accuracy: 0.8859, prior_entropy: 1.7898, recall: 0.8859, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8417, kappa: 0.7913, kb_relative_information_score: 617.0851, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8407, predictive_accuracy: 0.8585, prior_entropy: 1.7898, recall: 0.8585, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8339, kappa: 0.7942, kb_relative_information_score: 615.9021, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8131, predictive_accuracy: 0.8609, prior_entropy: 1.7898, recall: 0.8609, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.5818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8339, kappa: 0.7942, kb_relative_information_score: 615.9021, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8131, predictive_accuracy: 0.8609, prior_entropy: 1.7898, recall: 0.8609, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.5818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.4574, kappa: 0.305, kb_relative_information_score: 311.7125, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.4763, predictive_accuracy: 0.5244, prior_entropy: 1.7898, recall: 0.5244, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 705.4822, mean_absolute_error: 0.0844, 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: 0.2455, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.3155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.876, kappa: 0.8197, kb_relative_information_score: 694.8203, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8759, predictive_accuracy: 0.8763, prior_entropy: 1.7898, recall: 0.8763, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.249, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 724.1989, mean_absolute_error: 0.0731, 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: 0.2127, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 735.4247, mean_absolute_error: 0.0659, 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: 0.1916, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 746.5132, mean_absolute_error: 0.058, 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: 0.1686, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 770.2522, mean_absolute_error: 0.0416, 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: 0.1209, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.2064, kb_relative_information_score: 0.4529, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0001, 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: 0.9995, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 753.6687, mean_absolute_error: 0.0531, 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: 0.1545, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 758.8729, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 818.7161, 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: 0.0583, root_relative_squared_error: 0.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 741.4381, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.969, kappa: 0.955, kb_relative_information_score: 703.2438, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9692, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 819.2742, mean_absolute_error: 0.0121, 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: 0.0353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 831.9724, mean_absolute_error: 0.0045, 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: 0.013, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 763.1349, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.974, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 766.5399, mean_absolute_error: 0.0417, 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: 0.1211, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9679, kappa: 0.9532, kb_relative_information_score: 769.1791, mean_absolute_error: 0.039, 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: 0.1134, 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: 0.9997, f_measure: 0.9834, kappa: 0.9758, kb_relative_information_score: 726.1231, mean_absolute_error: 0.0709, 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: 0.2063, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.125, root_relative_squared_error: 0.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9631, kappa: 0.9463, kb_relative_information_score: 770.7989, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9633, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9631, kappa: 0.9463, kb_relative_information_score: 770.7989, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9633, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9631, kappa: 0.9463, kb_relative_information_score: 770.7989, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9633, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9631, kappa: 0.9463, kb_relative_information_score: 770.7989, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9633, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8726, kappa: 0.8147, kb_relative_information_score: 685.7492, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8738, predictive_accuracy: 0.8728, prior_entropy: 1.7898, recall: 0.8728, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 823.1504, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 813.8294, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.2328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9477, kappa: 0.9238, kb_relative_information_score: 747.7718, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 832.5577, mean_absolute_error: 0.0036, 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: 0.0104, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 830.1072, mean_absolute_error: 0.0055, 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: 0.0161, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 830.461, mean_absolute_error: 0.0058, 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: 0.017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.0991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 831.3017, mean_absolute_error: 0.0055, 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: 0.0161, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0365, root_relative_squared_error: 0.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 830.1862, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 832.1831, mean_absolute_error: 0.0049, 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: 0.0143, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 829.8758, mean_absolute_error: 0.0065, 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: 0.0189, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.037, root_relative_squared_error: 0.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9619, kappa: 0.9447, kb_relative_information_score: 796.8014, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9627, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9725, kappa: 0.9601, kb_relative_information_score: 775.6481, mean_absolute_error: 0.0353, 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: 0.1026, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 831.8696, mean_absolute_error: 0.003, 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: 0.0086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9261, kappa: 0.8926, kb_relative_information_score: 751.9759, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9262, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.994, kappa: 0.9914, kb_relative_information_score: 833.9717, mean_absolute_error: 0.003, 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: 0.0086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315,

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

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

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