Task
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3839 Supervised Classification JapaneseVowels 562 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

562 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9664, kappa: 0.8753, kb_relative_information_score: 8146.5487, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9662, predictive_accuracy: 0.9666, prior_entropy: 0.6393, recall: 0.9666, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9738, kappa: 0.9035, kb_relative_information_score: 8587.5943, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.6393, recall: 0.9738, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9838, kappa: 0.9399, kb_relative_information_score: 8837.1525, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9838, predictive_accuracy: 0.9839, prior_entropy: 0.6393, recall: 0.9839, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9788, kappa: 0.9219, kb_relative_information_score: 8844.4354, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 0.6393, recall: 0.9787, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.966, kappa: 0.8736, kb_relative_information_score: 8100.0596, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9659, predictive_accuracy: 0.9664, prior_entropy: 0.6393, recall: 0.9664, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9946, kappa: 0.98, kb_relative_information_score: 9708.5064, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 0.6393, recall: 0.9946, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.1917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9912, kappa: 0.9677, kb_relative_information_score: 9560.775, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.6393, recall: 0.9913, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9619, kappa: 0.8592, kb_relative_information_score: 8176.013, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.6393, recall: 0.962, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.4843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9882, kb_relative_information_score: 9765.3659, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6393, recall: 0.9968, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9885, kappa: 0.9577, kb_relative_information_score: 9082.9157, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.6393, recall: 0.9886, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.094, root_relative_squared_error: 0.2551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.949, kappa: 0.8117, kb_relative_information_score: 7344.2052, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9489, predictive_accuracy: 0.9492, prior_entropy: 0.6393, recall: 0.9492, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9752, kb_relative_information_score: 9410.018, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.6393, recall: 0.9933, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9481, kappa: 0.8084, kb_relative_information_score: 7281.7513, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.948, predictive_accuracy: 0.9483, prior_entropy: 0.6393, recall: 0.9483, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.5131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9632, kappa: 0.8627, kb_relative_information_score: 8358.8369, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6393, recall: 0.9638, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9849, kappa: 0.944, kb_relative_information_score: 8816.8271, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9848, predictive_accuracy: 0.9849, prior_entropy: 0.6393, recall: 0.9849, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.3042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9785, kappa: 0.9195, kb_relative_information_score: 7536.8693, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.6393, recall: 0.9789, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7641, kb_relative_information_score: -2.42, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3685, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.98, kappa: 0.9262, kb_relative_information_score: 8678.7786, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.6393, recall: 0.98, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9734, kappa: 0.9017, kb_relative_information_score: 8394.2891, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9733, predictive_accuracy: 0.9735, prior_entropy: 0.6393, recall: 0.9735, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9924, kappa: 0.9718, kb_relative_information_score: 9359.2237, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9923, predictive_accuracy: 0.9924, prior_entropy: 0.6393, recall: 0.9924, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.2162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.966, kappa: 0.8737, kb_relative_information_score: 8053.053, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9659, predictive_accuracy: 0.9664, prior_entropy: 0.6393, recall: 0.9664, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9775, kappa: 0.9168, kb_relative_information_score: 8873.1936, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9774, predictive_accuracy: 0.9775, prior_entropy: 0.6393, recall: 0.9775, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9616, kappa: 0.8581, kb_relative_information_score: 7838.6256, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.6393, recall: 0.9617, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.4481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9634, kappa: 0.8634, kb_relative_information_score: 8175.2286, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9633, predictive_accuracy: 0.964, prior_entropy: 0.6393, recall: 0.964, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9622, kappa: 0.8589, kb_relative_information_score: 8282.5724, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.962, predictive_accuracy: 0.9627, prior_entropy: 0.6393, recall: 0.9627, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.5245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.989, kappa: 0.9593, kb_relative_information_score: 8860.9781, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.6393, recall: 0.9891, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.9416, kappa: 0.78, kb_relative_information_score: 7399.5595, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9413, predictive_accuracy: 0.943, prior_entropy: 0.6393, recall: 0.943, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9775, kappa: 0.9168, kb_relative_information_score: 8873.7021, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9774, predictive_accuracy: 0.9775, prior_entropy: 0.6393, recall: 0.9775, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.941, kappa: 0.7779, kb_relative_information_score: 7377.0336, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9408, predictive_accuracy: 0.9425, prior_entropy: 0.6393, recall: 0.9425, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.6509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9612, kappa: 0.8568, kb_relative_information_score: 7829.8982, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.6393, recall: 0.9613, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9552, kappa: 0.8371, kb_relative_information_score: 7469.9752, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9561, predictive_accuracy: 0.9546, prior_entropy: 0.6393, recall: 0.9546, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9692, kappa: 0.8864, kb_relative_information_score: 8575.4083, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.6393, recall: 0.9692, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7641, kb_relative_information_score: 2687.1538, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9692, kappa: 0.8864, kb_relative_information_score: 8575.4083, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.6393, recall: 0.9692, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7641, kb_relative_information_score: 2687.1538, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9692, kappa: 0.8864, kb_relative_information_score: 8575.4083, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.6393, recall: 0.9692, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7641, kb_relative_information_score: 2687.1538, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9692, kappa: 0.8864, kb_relative_information_score: 8575.4083, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.6393, recall: 0.9692, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7641, kb_relative_information_score: 2687.1538, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9643, kappa: 0.8683, kb_relative_information_score: 7772.7926, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.6393, recall: 0.9644, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9853, kappa: 0.9457, kb_relative_information_score: 8514.0388, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 0.6393, recall: 0.9853, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9731, kappa: 0.9012, kb_relative_information_score: 8746.6047, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 0.6393, recall: 0.973, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9616, kappa: 0.8581, kb_relative_information_score: 7840.4163, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.6393, recall: 0.9617, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4479, scimark_benchmark: 1534.3473, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9634, kappa: 0.8631, kb_relative_information_score: 7657.2916, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9633, predictive_accuracy: 0.964, prior_entropy: 0.6393, recall: 0.964, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.4603, scimark_benchmark: 1262.4465, usercpu_time_millis: 4780, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9645, kappa: 0.8681, kb_relative_information_score: 7914.6694, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9648, prior_entropy: 0.6393, recall: 0.9648, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4332, scimark_benchmark: 1307.7519, usercpu_time_millis: 470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9982, kappa: 0.9933, kb_relative_information_score: 9874.8932, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6393, recall: 0.9982, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1154, scimark_benchmark: 1340.9264, usercpu_time_millis: 7350, usercpu_time_millis_testing: 7240, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.972, kappa: 0.8962, kb_relative_information_score: 8375.8861, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9719, predictive_accuracy: 0.9722, prior_entropy: 0.6393, recall: 0.9722, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3884, scimark_benchmark: 1153.7205, usercpu_time_millis: 8810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9762, kappa: 0.9124, kb_relative_information_score: 8693.6509, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.6393, recall: 0.9762, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4036, scimark_benchmark: 1038.3621, usercpu_time_millis: 4150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9634, kappa: 0.8634, kb_relative_information_score: 8341.1396, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9633, predictive_accuracy: 0.964, prior_entropy: 0.6393, recall: 0.964, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.5152, scimark_benchmark: 1618.1738, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9647, kappa: 0.8687, kb_relative_information_score: 8390.6964, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9646, predictive_accuracy: 0.9651, prior_entropy: 0.6393, recall: 0.9651, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.5073, scimark_benchmark: 1618.1738, usercpu_time_millis: 375, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9701, kappa: 0.8893, kb_relative_information_score: 8385.134, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.97, predictive_accuracy: 0.9702, prior_entropy: 0.6393, recall: 0.9702, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4346, scimark_benchmark: 1925.3565, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9597, kb_relative_information_score: 8853.138, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9891, predictive_accuracy: 0.9892, prior_entropy: 0.6393, recall: 0.9892, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2661, scimark_benchmark: 1925.3565, usercpu_time_millis: 2781.25, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 2640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9664, kappa: 0.8753, kb_relative_information_score: 8146.5487, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9662, predictive_accuracy: 0.9666, prior_entropy: 0.6393, recall: 0.9666, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4422, scimark_benchmark: 1925.3565, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9773, kappa: 0.9162, kb_relative_information_score: 8859.5769, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9772, predictive_accuracy: 0.9773, prior_entropy: 0.6393, recall: 0.9773, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.4009, scimark_benchmark: 1925.3565, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9616, kappa: 0.8581, kb_relative_information_score: 7840.4163, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.6393, recall: 0.9617, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4479, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9635, kappa: 0.8638, kb_relative_information_score: 8345.6447, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9635, predictive_accuracy: 0.9641, prior_entropy: 0.6393, recall: 0.9641, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.5145, scimark_benchmark: 1925.3565, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9647, kappa: 0.8687, kb_relative_information_score: 8390.6964, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9646, predictive_accuracy: 0.9651, prior_entropy: 0.6393, recall: 0.9651, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.5073, scimark_benchmark: 1925.3565, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9634, kappa: 0.8631, kb_relative_information_score: 7657.2916, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9633, predictive_accuracy: 0.964, prior_entropy: 0.6393, recall: 0.964, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.4603, scimark_benchmark: 1925.3565, usercpu_time_millis: 3125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9645, kappa: 0.8681, kb_relative_information_score: 7914.6694, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9648, prior_entropy: 0.6393, recall: 0.9648, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4332, scimark_benchmark: 1925.3565, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9982, kappa: 0.9933, kb_relative_information_score: 9874.8932, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6393, recall: 0.9982, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1154, scimark_benchmark: 1925.3565, usercpu_time_millis: 5109.375, usercpu_time_millis_testing: 5062.5, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.972, kappa: 0.8962, kb_relative_information_score: 8375.8861, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9719, predictive_accuracy: 0.9722, prior_entropy: 0.6393, recall: 0.9722, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3884, scimark_benchmark: 1892.0925, usercpu_time_millis: 4437.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9754, kappa: 0.9093, kb_relative_information_score: 8689.9571, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 0.6393, recall: 0.9754, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.4091, scimark_benchmark: 1892.0925, usercpu_time_millis: 2406.25, usercpu_time_millis_training: 2406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.97, kappa: 0.8889, kb_relative_information_score: 8376.8404, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9699, predictive_accuracy: 0.9701, prior_entropy: 0.6393, recall: 0.9701, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4362, scimark_benchmark: 1892.0925, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9884, kappa: 0.9571, kb_relative_information_score: 8833.8343, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.6393, recall: 0.9885, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2713, scimark_benchmark: 1892.0925, usercpu_time_millis: 2671.875, usercpu_time_millis_testing: 296.875, usercpu_time_millis_training: 2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9664, kappa: 0.8753, kb_relative_information_score: 8146.5487, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9662, predictive_accuracy: 0.9666, prior_entropy: 0.6393, recall: 0.9666, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4422, scimark_benchmark: 1892.0925, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9773, kappa: 0.9161, kb_relative_information_score: 8859.699, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9772, predictive_accuracy: 0.9773, prior_entropy: 0.6393, recall: 0.9773, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.4009, scimark_benchmark: 1892.0925, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9645, kappa: 0.8681, kb_relative_information_score: 7914.6694, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9648, prior_entropy: 0.6393, recall: 0.9648, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4332, scimark_benchmark: 1834.908, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9788, kappa: 0.9219, kb_relative_information_score: 8844.4354, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 0.6393, recall: 0.9787, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3778, scimark_benchmark: 1834.908, usercpu_time_millis: 2718.75, usercpu_time_millis_training: 2718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9634, kappa: 0.8631, kb_relative_information_score: 7657.2916, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9633, predictive_accuracy: 0.964, prior_entropy: 0.6393, recall: 0.964, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.4603, scimark_benchmark: 1834.908, usercpu_time_millis: 3046.875, usercpu_time_millis_training: 3046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.972, kappa: 0.8962, kb_relative_information_score: 8375.8861, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9719, predictive_accuracy: 0.9722, prior_entropy: 0.6393, recall: 0.9722, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3884, scimark_benchmark: 1834.908, usercpu_time_millis: 3843.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.972, kappa: 0.8962, kb_relative_information_score: 8375.8861, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9719, predictive_accuracy: 0.9722, prior_entropy: 0.6393, recall: 0.9722, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3884, scimark_benchmark: 1788.6668, usercpu_time_millis: 5859.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 5828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9556, kappa: 0.8368, kb_relative_information_score: 7439.8343, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9557, predictive_accuracy: 0.9555, prior_entropy: 0.6393, recall: 0.9555, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.4893, scimark_benchmark: 1788.6668, usercpu_time_millis: 2281.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9642, kappa: 0.8685, kb_relative_information_score: 7953.7981, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.6393, recall: 0.9642, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.48, scimark_benchmark: 1788.6668, usercpu_time_millis: 1687.5, usercpu_time_millis_training: 1687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9428, kappa: 0.7868, kb_relative_information_score: 6417.887, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9424, predictive_accuracy: 0.9436, prior_entropy: 0.6393, recall: 0.9436, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.556, scimark_benchmark: 1788.6668, usercpu_time_millis: 2343.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9436, kappa: 0.7897, kb_relative_information_score: 6760.4174, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9432, predictive_accuracy: 0.9443, prior_entropy: 0.6393, recall: 0.9443, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5386, scimark_benchmark: 1788.6668, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.9436, kappa: 0.7882, kb_relative_information_score: 7480.6525, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9433, predictive_accuracy: 0.9448, prior_entropy: 0.6393, recall: 0.9448, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.235, root_relative_squared_error: 0.6377, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9634, kappa: 0.8634, kb_relative_information_score: 8341.1396, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9633, predictive_accuracy: 0.964, prior_entropy: 0.6393, recall: 0.964, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.5152, scimark_benchmark: 1105.6388, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9788, kappa: 0.9219, kb_relative_information_score: 8844.4354, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 0.6393, recall: 0.9787, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3778, scimark_benchmark: 843.7067, usercpu_time_millis: 6550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9767, kappa: 0.9143, kb_relative_information_score: 8387.2867, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9767, predictive_accuracy: 0.9766, prior_entropy: 0.6393, recall: 0.9766, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.3571, scimark_benchmark: 1447.2612, usercpu_time_millis: 6421.875, usercpu_time_millis_testing: 6343.75, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9829, kappa: 0.9379, kb_relative_information_score: 9163.8091, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9836, predictive_accuracy: 0.9826, prior_entropy: 0.6393, recall: 0.9826, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2932, scimark_benchmark: 1840.6094, usercpu_time_millis: 4671.875, usercpu_time_millis_testing: 4625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9966, kappa: 0.9875, kb_relative_information_score: 9793.1205, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.6393, recall: 0.9966, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1311, scimark_benchmark: 1840.6094, usercpu_time_millis: 5203.125, usercpu_time_millis_testing: 5203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.991, kappa: 0.967, kb_relative_information_score: 9184.2888, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 0.6393, recall: 0.9911, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2384, scimark_benchmark: 1873.1108, usercpu_time_millis: 9218.75, usercpu_time_millis_testing: 9218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.98, kappa: 0.9262, kb_relative_information_score: 8673.3852, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.6393, recall: 0.98, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.121, root_relative_squared_error: 0.3285, scimark_benchmark: 1873.1108, usercpu_time_millis: 4203.125, usercpu_time_millis_testing: 4156.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9937, kappa: 0.9766, kb_relative_information_score: 9422.8897, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.6393, recall: 0.9937, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.1992, scimark_benchmark: 1873.1108, usercpu_time_millis: 8703.125, usercpu_time_millis_testing: 8703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9867, kappa: 0.9509, kb_relative_information_score: 9363.8127, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.6393, recall: 0.9867, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.3124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9867, kappa: 0.9508, kb_relative_information_score: 9363.8127, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.6393, recall: 0.9867, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.3124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9823, kappa: 0.9345, kb_relative_information_score: 9170.0905, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9823, predictive_accuracy: 0.9824, prior_entropy: 0.6393, recall: 0.9824, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.3597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9724, kappa: 0.8977, kb_relative_information_score: 8728.584, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9723, predictive_accuracy: 0.9726, prior_entropy: 0.6393, recall: 0.9726, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9448, kappa: 0.794, kb_relative_information_score: 7516.6938, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9444, predictive_accuracy: 0.9456, prior_entropy: 0.6393, recall: 0.9456, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.633, scimark_benchmark: 1870.7932, usercpu_time_millis: 280.8018, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9647, kappa: 0.8687, kb_relative_information_score: 8390.6964, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9646, predictive_accuracy: 0.9651, prior_entropy: 0.6393, recall: 0.9651, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.5073, scimark_benchmark: 1870.7932, usercpu_time_millis: 280.8018, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 265.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9597, kappa: 0.8516, kb_relative_information_score: 7879.4286, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9597, predictive_accuracy: 0.9597, prior_entropy: 0.6393, recall: 0.9597, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4875, scimark_benchmark: 1870.7932, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9698, kappa: 0.8881, kb_relative_information_score: 8381.0869, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9697, predictive_accuracy: 0.9699, prior_entropy: 0.6393, recall: 0.9699, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.4353, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9529, kappa: 0.8248, kb_relative_information_score: 7262.1506, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9526, predictive_accuracy: 0.9533, prior_entropy: 0.6393, recall: 0.9533, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.4953, scimark_benchmark: 1870.7932, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9664, kappa: 0.8753, kb_relative_information_score: 8146.5487, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9662, predictive_accuracy: 0.9666, prior_entropy: 0.6393, recall: 0.9666, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4422, scimark_benchmark: 1870.7932, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9932, kappa: 0.9747, kb_relative_information_score: 9652.1434, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.6393, recall: 0.9932, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.2242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9659, kappa: 0.8722, kb_relative_information_score: 8458.2739, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9661, predictive_accuracy: 0.9666, prior_entropy: 0.6393, recall: 0.9666, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4962,

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