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: 0.9913, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.1451, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.8641, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0534, 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: 0.9896, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.323, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.5794, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.2432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 472.0896, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.479, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 430.8208, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 469.2229, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 452.8058, mean_absolute_error: 0.0549, 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: 0.1113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 466.7409, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.2703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 477.0058, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.5886, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.055, 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: 0.9926, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 471.4606, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.2444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.6898, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 465.5344, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 430.8208, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 477.0058, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 465.5344, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 469.2229, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 452.8058, mean_absolute_error: 0.0549, 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: 0.1113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 466.7409, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.2703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.5886, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.055, 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: 0.9926, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 471.4606, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.2444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.6898, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.323, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.8641, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0534, 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: 0.9914, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.5794, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.2432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 472.0497, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.1451, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 185.3331, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 185.3331, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 172.1481, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.7132, kappa: 0.4204, kb_relative_information_score: 121.5056, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7292, predictive_accuracy: 0.722, prior_entropy: 0.991, recall: 0.722, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8636, kappa: 0.7232, kb_relative_information_score: 361.7816, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.875, predictive_accuracy: 0.866, prior_entropy: 0.991, recall: 0.866, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7036, kappa: 0.3977, kb_relative_information_score: 124.5627, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7047, predictive_accuracy: 0.706, prior_entropy: 0.991, recall: 0.706, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.7105, kappa: 0.4119, kb_relative_information_score: 128.6981, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7135, predictive_accuracy: 0.714, prior_entropy: 0.991, recall: 0.714, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.6346, kappa: 0.2654, kb_relative_information_score: 56.0136, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.991, recall: 0.65, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, kb_relative_information_score: 0.016, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.4682, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 479.0459, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.6952, kappa: 0.3807, kb_relative_information_score: 117.911, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6966, predictive_accuracy: 0.698, prior_entropy: 0.991, recall: 0.698, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8438, kappa: 0.6832, kb_relative_information_score: 283.4276, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.991, recall: 0.844, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, kb_relative_information_score: 14.1958, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.6536, kappa: 0.344, kb_relative_information_score: 94.3054, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7986, predictive_accuracy: 0.698, prior_entropy: 0.991, recall: 0.698, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.6981, kappa: 0.3867, kb_relative_information_score: 122.0482, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.991, recall: 0.702, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 196.8525, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7663, predictive_accuracy: 0.764, prior_entropy: 0.991, recall: 0.764, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.4063, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 465.6775, mean_absolute_error: 0.039, 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: 0.0789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.944, kappa: 0.8868, kb_relative_information_score: 410.9879, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9442, predictive_accuracy: 0.944, prior_entropy: 0.991, recall: 0.944, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.5299, kappa: 0.1626, kb_relative_information_score: 71.2143, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.775, predictive_accuracy: 0.622, prior_entropy: 0.991, recall: 0.622, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7109, kappa: 0.4208, kb_relative_information_score: 77.2105, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7173, predictive_accuracy: 0.71, prior_entropy: 0.991, recall: 0.71, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, kb_relative_information_score: 28.156, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8025, kappa: 0.5987, kb_relative_information_score: 273.8461, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8047, predictive_accuracy: 0.804, prior_entropy: 0.991, recall: 0.804, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.98, kappa: 0.9597, kb_relative_information_score: 447.2166, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9809, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.7426, kappa: 0.4772, kb_relative_information_score: 184.3161, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7432, predictive_accuracy: 0.744, prior_entropy: 0.991, recall: 0.744, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7081, kappa: 0.407, kb_relative_information_score: 125.9542, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7117, predictive_accuracy: 0.712, prior_entropy: 0.991, recall: 0.712, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.95, kappa: 0.8986, kb_relative_information_score: 393.5608, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.991, recall: 0.95, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.7938, kappa: 0.5811, kb_relative_information_score: 227.0123, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7976, predictive_accuracy: 0.796, prior_entropy: 0.991, recall: 0.796, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8216, kappa: 0.638, kb_relative_information_score: 269.4596, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.991, recall: 0.822, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.4487, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7402, kappa: 0.4748, kb_relative_information_score: 178.0204, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7575, predictive_accuracy: 0.748, prior_entropy: 0.991, recall: 0.748, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.6478, kappa: 0.3346, kb_relative_information_score: 118.5176, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7967, predictive_accuracy: 0.694, prior_entropy: 0.991, recall: 0.694, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7138, kappa: 0.4197, kb_relative_information_score: 125.5055, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.991, recall: 0.72, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6986, kappa: 0.3879, kb_relative_information_score: 122.6981, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6986, predictive_accuracy: 0.7, prior_entropy: 0.991, recall: 0.7, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 427.8052, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.5042, kappa: 0.1285, kb_relative_information_score: 55.8038, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7701, predictive_accuracy: 0.608, prior_entropy: 0.991, recall: 0.608, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.3737, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, kb_relative_information_score: -0.0056, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7027, kappa: 0.4, kb_relative_information_score: 81.8565, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7043, predictive_accuracy: 0.702, prior_entropy: 0.991, recall: 0.702, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.6942, kappa: 0.3907, kb_relative_information_score: 163.7014, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7354, predictive_accuracy: 0.712, prior_entropy: 0.991, recall: 0.712, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.7959, kappa: 0.5854, kb_relative_information_score: 220.0024, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7995, predictive_accuracy: 0.798, prior_entropy: 0.991, recall: 0.798, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7755, kappa: 0.5439, kb_relative_information_score: 185.8878, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7793, predictive_accuracy: 0.778, prior_entropy: 0.991, recall: 0.778, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.7993, kappa: 0.5927, kb_relative_information_score: 240.6221, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7996, predictive_accuracy: 0.8, prior_entropy: 0.991, recall: 0.8, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 479.4234, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.703, kappa: 0.3971, kb_relative_information_score: 129.0897, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7084, predictive_accuracy: 0.708, prior_entropy: 0.991, recall: 0.708, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.881,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.6536, kappa: 0.344, kb_relative_information_score: 131.6934, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7986, predictive_accuracy: 0.698, prior_entropy: 0.991, recall: 0.698, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7393, kappa: 0.4709, kb_relative_information_score: 164.6281, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7467, predictive_accuracy: 0.744, prior_entropy: 0.991, recall: 0.744, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.4838, kappa: 0.0789, kb_relative_information_score: 40.6608, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6332, predictive_accuracy: 0.584, prior_entropy: 0.991, recall: 0.584, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.6914, kappa: 0.3739, kb_relative_information_score: 123.2917, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6911, predictive_accuracy: 0.692, prior_entropy: 0.991, recall: 0.692, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.66, kappa: 0.3505, kb_relative_information_score: 131.8297, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7845, predictive_accuracy: 0.7, prior_entropy: 0.991, recall: 0.7, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8495,

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