Task
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: 0.9827, f_measure: 0.9538, kappa: 0.9062, kb_relative_information_score: 418.7242, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9554, predictive_accuracy: 0.954, prior_entropy: 0.991, recall: 0.954, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.3835, 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: 0.0582, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.4865, mean_absolute_error: 0.0273, 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: 0.0552, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.1868, mean_absolute_error: 0.0308, 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: 0.0624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9659, kappa: 0.9309, kb_relative_information_score: 429.0751, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9665, predictive_accuracy: 0.966, prior_entropy: 0.991, recall: 0.966, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.978, kappa: 0.9554, kb_relative_information_score: 386.9964, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 469.492, mean_absolute_error: 0.0355, 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: 0.0718, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9048, kappa: 0.8065, kb_relative_information_score: 267.7231, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9129, predictive_accuracy: 0.906, prior_entropy: 0.991, recall: 0.906, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.8224, mean_absolute_error: 0.0281, 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: 0.057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.2181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.1151, mean_absolute_error: 0.0318, 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: 0.0643, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 450.512, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 455.0375, mean_absolute_error: 0.0501, 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: 0.1015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9501, kappa: 0.8992, kb_relative_information_score: 423.2948, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9511, predictive_accuracy: 0.95, prior_entropy: 0.991, recall: 0.95, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3307, f_measure: 0.3806, kappa: -0.2578, kb_relative_information_score: -97.84, mean_absolute_error: 0.584, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.3756, predictive_accuracy: 0.39, prior_entropy: 0.991, recall: 0.39, relative_absolute_error: 1.1827, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6756, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 463.0103, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 451.913, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.3036, mean_absolute_error: 0.0275, 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: 0.0557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.3519, 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: 0.0556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9561, kappa: 0.9114, kb_relative_information_score: 428.6872, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9573, predictive_accuracy: 0.956, prior_entropy: 0.991, recall: 0.956, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.947, mean_absolute_error: 0.0279, 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: 0.0566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2452, mean_absolute_error: 0.0276, 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: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9599, kappa: 0.9187, kb_relative_information_score: 444.8477, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 0.991, recall: 0.96, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.0781, mean_absolute_error: 0.0278, 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: 0.0563, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.109, root_relative_squared_error: 0.2195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 448.1686, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9803, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9699, kappa: 0.939, kb_relative_information_score: 434.2894, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 472.772, 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: 0.1166, root_relative_squared_error: 0.2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 456.7369, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.2973,
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: 0.96, f_measure: 0.972, kappa: 0.9431, kb_relative_information_score: 388.486, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 404.302, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9456, predictive_accuracy: 0.938, prior_entropy: 0.991, recall: 0.938, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 441.6367, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 477.071, mean_absolute_error: 0.0265, 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: 0.0536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 465.0253, mean_absolute_error: 0.0392, 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: 0.0794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 363.077, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3791, usercpu_time_millis: 1.194, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 152.9339, mean_absolute_error: 0.3753, 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: 0.7601, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.769, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.962, kappa: 0.9231, kb_relative_information_score: 457.6959, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.991, recall: 0.962, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3378, usercpu_time_millis: 2.138, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 472.7916, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.2534, usercpu_time_millis: 2.322, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9779, kappa: 0.9553, kb_relative_information_score: 471.7399, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9785, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2649, usercpu_time_millis: 2.245, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 2.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 479.3003, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.1996, usercpu_time_millis: 2.228, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 472.6314, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2463, usercpu_time_millis: 2.359, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 483.506, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.991, recall: 0.992, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.1873, usercpu_time_millis: 2.085, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9779, kappa: 0.9553, kb_relative_information_score: 471.7399, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9785, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2649, usercpu_time_millis: 2.106, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9779, kappa: 0.9553, kb_relative_information_score: 471.7399, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9785, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2649, usercpu_time_millis: 2.399, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 2.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9779, kappa: 0.9553, kb_relative_information_score: 471.7399, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9785, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2649, usercpu_time_millis: 2.283, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 494.8771, 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: 0.0631, root_relative_squared_error: 0.1271, usercpu_time_millis: 2.131, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 485.6835, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.1648, usercpu_time_millis: 2.044, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.897,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.994, kappa: 0.9879, kb_relative_information_score: 493.331, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9941, predictive_accuracy: 0.994, prior_entropy: 0.991, recall: 0.994, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.1562, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.72,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 479.3003, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.1996, usercpu_time_millis: 2.547, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 2.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 494.3841, mean_absolute_error: 0.0057, 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: 0.0116, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1348, usercpu_time_millis: 1.853, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 490.8823, mean_absolute_error: 0.0107, 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: 0.0217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1026, usercpu_time_millis: 2.324, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 1.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.0324, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0026, root_relative_squared_error: 0.0052, usercpu_time_millis: 1.959, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.994, kappa: 0.9879, kb_relative_information_score: 490.3429, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9941, predictive_accuracy: 0.994, prior_entropy: 0.991, recall: 0.994, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.1615, usercpu_time_millis: 2.422, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 1.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.962, kappa: 0.9231, kb_relative_information_score: 457.7148, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.991, recall: 0.962, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3378, usercpu_time_millis: 2.83, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 2.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 471.8737, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679, usercpu_time_millis: 0.471, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 472.9993, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2676, usercpu_time_millis: 0.483, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 471.8737, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679, usercpu_time_millis: 0.618, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, 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: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273, usercpu_time_millis: 0.497, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 471.8737, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679, usercpu_time_millis: 0.482, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.343,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8795, kappa: 0.7554, kb_relative_information_score: 342.4668, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8805, predictive_accuracy: 0.88, prior_entropy: 0.991, recall: 0.88, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.6001, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9797, kb_relative_information_score: 277.6913, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5469, usercpu_time_millis: 0.998, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, 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: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273, usercpu_time_millis: 0.458, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 477.5461, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.2519, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.343,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 471.8737, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679, usercpu_time_millis: 0.447, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.323,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 471.8737, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679, usercpu_time_millis: 0.468, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.34,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 471.8737, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679, usercpu_time_millis: 0.467, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, 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: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273, usercpu_time_millis: 0.465, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 471.8737, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679, usercpu_time_millis: 0.445, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 471.8737, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679, usercpu_time_millis: 0.463, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8795, kappa: 0.7554, kb_relative_information_score: 342.4668, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8805, predictive_accuracy: 0.88, prior_entropy: 0.991, recall: 0.88, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.6001, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, 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: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 471.8737, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679, usercpu_time_millis: 0.475, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 472.9993, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2676, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9797, kb_relative_information_score: 277.6913, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5469, usercpu_time_millis: 1.329, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.2883, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0159, root_relative_squared_error: 0.032, usercpu_time_millis: 1.947, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9779, kappa: 0.9553, kb_relative_information_score: 471.7399, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9785, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2649, usercpu_time_millis: 2.237, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 2.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 479.3003, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.1996, usercpu_time_millis: 2.229, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9779, kappa: 0.9553, kb_relative_information_score: 471.7399, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9785, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2649, usercpu_time_millis: 2.1, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 479.3003, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.1996, usercpu_time_millis: 1.971, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 479.3003, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.1996, usercpu_time_millis: 2.121, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 496.562, mean_absolute_error: 0.0036, 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: 0.0073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.0974, usercpu_time_millis: 1.864, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.3569, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0201, root_relative_squared_error: 0.0404, usercpu_time_millis: 1.947, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 471.0503, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9861, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.2534, usercpu_time_millis: 2.767, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 494.8801, 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: 0.0634, root_relative_squared_error: 0.1275, usercpu_time_millis: 2.233, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.994, kappa: 0.9879, kb_relative_information_score: 492.1441, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.991, recall: 0.994, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.078, root_relative_squared_error: 0.1571, usercpu_time_millis: 2.295, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 2.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9779, kappa: 0.9553, kb_relative_information_score: 471.7399, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9785, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2649, usercpu_time_millis: 2.486, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 495.4743, mean_absolute_error: 0.0052, 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: 0.0105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.0968, usercpu_time_millis: 2.093, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.825,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs