OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13324 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.7452, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.7066, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.2346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.7066, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.2346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 480.941, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6553, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.2331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.8181, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.9703, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.8164, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.4371, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.2331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.3389, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.567, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 474.8795, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 496.7467, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.0812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.6109, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.1936, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 494.7103, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 497.0121, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.0901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.9703, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.8651, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.5158, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.0318, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.3953, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.2399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6548, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.8832, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.1243, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.637, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.6109, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.7487, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0503, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 480.0348, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.8944, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.6237, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.8215, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.6058, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 480.4984, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.4234, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0503, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.8164, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 497.0121, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.0901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 496.1153, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 478.3755, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6553, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.2331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 478.1406, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.9392, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.0318, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.8005, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.9694, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.9993, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6553, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.2331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6548, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.9694, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.7306, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.988, kappa: 0.9757, kb_relative_information_score: 485.8178, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.1945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.8215, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.8956, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.2344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.7306, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.8857, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.7643, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.4995, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9699, kappa: 0.9389, kb_relative_information_score: 410.2635, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9711, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 465.2235, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.2326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6379, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 483.252, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.1418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 474.1584, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 469.8435, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.2217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.982, kappa: 0.9634, kb_relative_information_score: 454.2448, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9823, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.2301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 447.564, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 431.8789, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.2811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 472.8238, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 486.3906, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.0939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 452.8089, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 489.6443, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.2957, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.964, kappa: 0.9272, kb_relative_information_score: 329.2651, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 0.991, recall: 0.964, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.968, kappa: 0.9351, kb_relative_information_score: 233.2871, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 472.2129, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.991, recall: 0.992, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.3875, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 473.4969, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.968, kappa: 0.9351, kb_relative_information_score: 186.9492, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 454.4572, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 466.2272, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.2259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 487.5714, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 466.0466, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9844, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.111, root_relative_squared_error: 0.2233,

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