OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23487 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

23487 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 804.7478, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9857, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9691, kappa: 0.9552, kb_relative_information_score: 786.2785, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9698, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.2671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 822.6052, mean_absolute_error: 0.0113, 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: 0.033, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.8748, 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 - area_under_roc_curve: 0.9974, f_measure: 0.9667, kappa: 0.9515, kb_relative_information_score: 754.6368, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.3038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2736, kb_relative_information_score: 1.4287, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9333, kappa: 0.9031, kb_relative_information_score: 85.0618, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9334, predictive_accuracy: 0.9334, prior_entropy: 1.7898, recall: 0.9334, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 696.3376, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 826.7873, mean_absolute_error: 0.0054, 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: 0.0157, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.064, root_relative_squared_error: 0.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 820.8785, mean_absolute_error: 0.0122, 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: 0.0355, 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: 0.9138, f_measure: 0.723, kappa: 0.6001, kb_relative_information_score: 493.3977, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.746, predictive_accuracy: 0.7313, prior_entropy: 1.7898, recall: 0.7313, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.9485, 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: 0.034, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9572, kappa: 0.9376, kb_relative_information_score: 742.7973, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9575, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.962, kappa: 0.9449, kb_relative_information_score: 786.3077, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9633, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 518.566, mean_absolute_error: 0.1458, 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: 0.424, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.7257, 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: 0.0341, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9322, kappa: 0.9014, kb_relative_information_score: 737.0874, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9322, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.975, kappa: 0.9637, kb_relative_information_score: 759.8607, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9754, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.7325, 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: 0.036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.4782, 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: 0.0364, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.3013, mean_absolute_error: 0.0136, 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: 0.0395, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.8748, 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 - area_under_roc_curve: 0.9928, f_measure: 0.9558, kappa: 0.9359, kb_relative_information_score: 768.143, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9568, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.3285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9452, kappa: 0.9204, kb_relative_information_score: 749.6541, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9457, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9351, kappa: 0.9068, kb_relative_information_score: 709.2383, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9373, predictive_accuracy: 0.9358, prior_entropy: 1.7898, recall: 0.9358, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9822, kappa: 0.9741, kb_relative_information_score: 798.6144, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 811.2278, 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: 0.0535, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9715, kappa: 0.9584, kb_relative_information_score: 760.3873, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 817.5092, mean_absolute_error: 0.0147, 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: 0.0427, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kappa: 0.0011, kb_relative_information_score: 5.2276, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3627, prior_entropy: 1.7898, recall: 0.3627, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9834, kappa: 0.9758, kb_relative_information_score: 808.4632, mean_absolute_error: 0.0184, 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: 0.0534, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.081, root_relative_squared_error: 0.1955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.2062, mean_absolute_error: 0.0133, 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: 0.0387, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9535, kappa: 0.9327, kb_relative_information_score: 762.8237, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9537, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 823.2738, mean_absolute_error: 0.0109, 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: 0.0316, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.4933, mean_absolute_error: 0.0131, 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: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 802.5953, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2126,
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 - area_under_roc_curve: 0.9998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 759.9917, mean_absolute_error: 0.0499, 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: 0.1451, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 653.6719, mean_absolute_error: 0.1116, 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: 0.3247, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9557, kappa: 0.9358, kb_relative_information_score: 710.2118, mean_absolute_error: 0.074, 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: 0.2153, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9749, kappa: 0.9636, kb_relative_information_score: 743.2879, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9834, kappa: 0.9757, kb_relative_information_score: 802.2694, mean_absolute_error: 0.0213, 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: 0.0619, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.963, kappa: 0.9463, kb_relative_information_score: 763.0939, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9636, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, kb_relative_information_score: 2.1326, 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: 0.9986, f_measure: 0.9678, kappa: 0.9532, kb_relative_information_score: 731.4743, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9683, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9523, kappa: 0.9306, kb_relative_information_score: 714.0385, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.953, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.5264, kappa: 0.3093, kb_relative_information_score: 236.5307, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6009, predictive_accuracy: 0.5434, prior_entropy: 1.7898, recall: 0.5434, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9606, kappa: 0.9428, kb_relative_information_score: 732.1963, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9612, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9621, kappa: 0.9448, kb_relative_information_score: 757.9799, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9649, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.2949, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9523, kappa: 0.9306, kb_relative_information_score: 735.7954, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9532, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.3923, mean_absolute_error: 0.0135, 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: 0.0393, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 827.7743, mean_absolute_error: 0.0058, 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: 0.0167, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9286, kappa: 0.8962, kb_relative_information_score: 757.756, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9287, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.0497, 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: 0.0489, root_relative_squared_error: 0.1179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.95, kappa: 0.9274, kb_relative_information_score: 85.6005, mean_absolute_error: 0.3443, 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: 1.0012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9523, kappa: 0.9306, kb_relative_information_score: 737.3898, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9527, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.937, kappa: 0.9085, kb_relative_information_score: 766.9276, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9373, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.4282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9369, kappa: 0.9083, kb_relative_information_score: 763.9071, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9369, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9691, kappa: 0.9551, kb_relative_information_score: 754.1454, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9708, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.3003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9809, kb_relative_information_score: 793.35, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9872, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 692.1247, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.3433, mean_absolute_error: 0.012, 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: 0.035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 731.9546, mean_absolute_error: 0.0667, 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: 0.1939, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 747.1807, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9766, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9333, kappa: 0.9031, kb_relative_information_score: 760.403, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9333, predictive_accuracy: 0.9334, prior_entropy: 1.7898, recall: 0.9334, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9416, kappa: 0.9151, kb_relative_information_score: 746.4052, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9523, kappa: 0.9307, kb_relative_information_score: 728.8013, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.953, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9464, kappa: 0.9221, kb_relative_information_score: 85.4243, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9464, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 284.5613, mean_absolute_error: 0.2519, 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: 0.7326, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9463, kappa: 0.922, kb_relative_information_score: 85.8308, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.4612, mean_absolute_error: 0.0125, 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: 0.0364, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.1204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 34.9301, 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: 1.0565, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9548, kappa: 0.9341, kb_relative_information_score: 742.9472, mean_absolute_error: 0.0547, 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: 0.159, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 703.4937, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9659, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9548, kappa: 0.9346, kb_relative_information_score: 655.168, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9565, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 438.2312, mean_absolute_error: 0.1815, 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: 0.5279, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.7122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9725, kappa: 0.9601, kb_relative_information_score: 661.7414, mean_absolute_error: 0.1055, 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: 0.3067, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.0984, mean_absolute_error: 0.0134, 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: 0.0389, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9714, kappa: 0.9585, kb_relative_information_score: 750.7388, mean_absolute_error: 0.0515, 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: 0.1497, 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: 0.9979, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 711.2504, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9659, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.944, kappa: 0.9185, kb_relative_information_score: 727.31, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9445, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9798, kappa: 0.9705, kb_relative_information_score: 793.9094, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9802, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.2235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9346, kappa: 0.9049, kb_relative_information_score: 764.8364, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9346, predictive_accuracy: 0.9346, prior_entropy: 1.7898, recall: 0.9346, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 361.9836, mean_absolute_error: 0.2169, 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: 0.6308, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9439, kappa: 0.9186, kb_relative_information_score: 737.0649, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9447, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9833, kappa: 0.9757, kb_relative_information_score: 650.6004, mean_absolute_error: 0.1129, 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: 0.3284, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 819.7041, mean_absolute_error: 0.0133, 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: 0.0386, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, kb_relative_information_score: 1.4726, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9618, kappa: 0.9445, kb_relative_information_score: 725.7898, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9624, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 717.562, mean_absolute_error: 0.0719, 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: 0.2092, 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: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.2307, 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: 0.4924, kappa: -0.0017, kb_relative_information_score: 0.9631, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3734, prior_entropy: 1.7898, recall: 0.3734, relative_absolute_error: 0.9997, 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: 0.9984, f_measure: 0.9679, kappa: 0.9532, kb_relative_information_score: 737.1296, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.3114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9512, kappa: 0.9289, kb_relative_information_score: 719.0673, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9516, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9464, kappa: 0.9225, kb_relative_information_score: 755.427, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9472, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.956, mean_absolute_error: 0.0117, 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: 0.034, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: -0.0011, kb_relative_information_score: 1.8736, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3662, prior_entropy: 1.7898, recall: 0.3662, 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: 0.9997, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.1599, 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: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 740.306, mean_absolute_error: 0.0597, 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: 0.1736, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2916,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs