OpenML
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

18971 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1702, kappa: -0.0011, kb_relative_information_score: 0.1245, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0899, prior_entropy: 3.4594, recall: 0.0899, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.206, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.3729, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8276, kappa: 0.8111, kb_relative_information_score: 777.0118, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.829, predictive_accuracy: 0.8283, prior_entropy: 3.4594, recall: 0.8283, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.4525, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2881, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9176, kappa: 0.91, kb_relative_information_score: 658.4821, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9202, predictive_accuracy: 0.9182, prior_entropy: 3.4594, recall: 0.9182, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.8016, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.2978, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.6004, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.8925, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8584, kappa: 0.8444, kb_relative_information_score: 791.4027, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8602, predictive_accuracy: 0.8586, prior_entropy: 3.4594, recall: 0.8586, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2508, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.3293, kappa: 0.3167, kb_relative_information_score: 251.8741, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4309, predictive_accuracy: 0.3788, prior_entropy: 3.4594, recall: 0.3788, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.2207, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2881, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.8912, kappa: 0.8811, kb_relative_information_score: 768.7557, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8926, predictive_accuracy: 0.8919, prior_entropy: 3.4594, recall: 0.8919, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8379, kappa: 0.8233, kb_relative_information_score: 699.5942, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8402, predictive_accuracy: 0.8394, prior_entropy: 3.4594, recall: 0.8394, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.471, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.2675, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.0991, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.3248, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2898, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8196, kappa: 0.8022, kb_relative_information_score: 764.8072, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8215, predictive_accuracy: 0.8202, prior_entropy: 3.4594, recall: 0.8202, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.1504, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, kappa: 0.2189, kb_relative_information_score: 97.7037, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.2899, prior_entropy: 3.4594, recall: 0.2899, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, kappa: 0.3533, kb_relative_information_score: 333.0838, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.4121, prior_entropy: 3.4594, recall: 0.4121, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.5731, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.1361, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, kappa: 0.26, kb_relative_information_score: 85.6784, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.3273, prior_entropy: 3.4594, recall: 0.3273, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.6899, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, kappa: 0.2067, kb_relative_information_score: 180.6746, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.2788, prior_entropy: 3.4594, recall: 0.2788, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8936, kappa: 0.8844, kb_relative_information_score: 685.5051, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8946, predictive_accuracy: 0.8949, prior_entropy: 3.4594, recall: 0.8949, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.6152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.1555, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.6738, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8356, kappa: 0.82, kb_relative_information_score: 704.0824, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8374, predictive_accuracy: 0.8364, prior_entropy: 3.4594, recall: 0.8364, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.2823, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, kappa: 0.15, kb_relative_information_score: 143.9528, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.2273, prior_entropy: 3.4594, recall: 0.2273, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.7716, kappa: 0.7533, kb_relative_information_score: 649.7147, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.773, predictive_accuracy: 0.7758, prior_entropy: 3.4594, recall: 0.7758, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.6887, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, kappa: 0.27, kb_relative_information_score: 207.8377, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.3364, prior_entropy: 3.4594, recall: 0.3364, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.4327, kappa: 0.3856, kb_relative_information_score: 444.2578, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.434, predictive_accuracy: 0.4414, prior_entropy: 3.4594, recall: 0.4414, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8783, kappa: 0.8678, kb_relative_information_score: 713.8489, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8794, predictive_accuracy: 0.8798, prior_entropy: 3.4594, recall: 0.8798, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8268, kappa: 0.8122, kb_relative_information_score: 624.2015, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8284, predictive_accuracy: 0.8293, prior_entropy: 3.4594, recall: 0.8293, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.3294, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.3979, kappa: 0.3378, kb_relative_information_score: 386.1972, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4102, predictive_accuracy: 0.398, prior_entropy: 3.4594, recall: 0.398, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.9016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.7539, kappa: 0.7344, kb_relative_information_score: 591.3667, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7553, predictive_accuracy: 0.7586, prior_entropy: 3.4594, recall: 0.7586, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.1761, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.6579, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.552, kappa: 0.5144, kb_relative_information_score: 457.2897, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5591, predictive_accuracy: 0.5586, prior_entropy: 3.4594, recall: 0.5586, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, kappa: 0.2344, kb_relative_information_score: 211.0236, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.304, prior_entropy: 3.4594, recall: 0.304, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.1922, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.4124, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2879, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, kappa: 0.0056, kb_relative_information_score: 59.426, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.096, prior_entropy: 3.4594, recall: 0.096, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9044, kappa: 0.8956, kb_relative_information_score: 674.4809, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9055, predictive_accuracy: 0.9051, prior_entropy: 3.4594, recall: 0.9051, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.179, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.803, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.0752, kappa: 0.0022, kb_relative_information_score: 56.3068, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0953, predictive_accuracy: 0.0929, prior_entropy: 3.4594, recall: 0.0929, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.8237, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.8679, kappa: 0.8567, kb_relative_information_score: 748.9183, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8697, predictive_accuracy: 0.8697, prior_entropy: 3.4594, recall: 0.8697, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.7605, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.494, kappa: 0.4633, kb_relative_information_score: 432.0048, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5009, predictive_accuracy: 0.5121, prior_entropy: 3.4594, recall: 0.5121, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8965, kappa: 0.8878, kb_relative_information_score: 601.4229, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9002, predictive_accuracy: 0.898, prior_entropy: 3.4594, recall: 0.898, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.6962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8996, kappa: 0.89, kb_relative_information_score: 677.254, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 3.4594, recall: 0.9, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.7326, kappa: 0.7122, kb_relative_information_score: 621.2207, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7375, predictive_accuracy: 0.7384, prior_entropy: 3.4594, recall: 0.7384, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.6971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9249, kappa: 0.9178, kb_relative_information_score: 869.1935, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.925, predictive_accuracy: 0.9253, prior_entropy: 3.4594, recall: 0.9253, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8023, kappa: 0.7844, kb_relative_information_score: 702.2737, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8045, predictive_accuracy: 0.804, prior_entropy: 3.4594, recall: 0.804, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.6145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8249, kappa: 0.8111, kb_relative_information_score: 557.9148, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8289, predictive_accuracy: 0.8283, prior_entropy: 3.4594, recall: 0.8283, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.893, kappa: 0.8833, kb_relative_information_score: 766.5397, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.895, predictive_accuracy: 0.8939, prior_entropy: 3.4594, recall: 0.8939, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8288, kappa: 0.8122, kb_relative_information_score: 823.7162, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8297, predictive_accuracy: 0.8293, prior_entropy: 3.4594, recall: 0.8293, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.5297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.8224, kappa: 0.8078, kb_relative_information_score: 656.2204, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8238, predictive_accuracy: 0.8253, prior_entropy: 3.4594, recall: 0.8253, relative_absolute_error: 0.5683, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.7084, kappa: 0.6811, kb_relative_information_score: 630.5679, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7102, predictive_accuracy: 0.7101, prior_entropy: 3.4594, recall: 0.7101, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.7663, kappa: 0.7478, kb_relative_information_score: 643.2226, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.768, predictive_accuracy: 0.7707, prior_entropy: 3.4594, recall: 0.7707, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.7902, kappa: 0.77, kb_relative_information_score: 705.4653, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7926, predictive_accuracy: 0.7909, prior_entropy: 3.4594, recall: 0.7909, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8364, kappa: 0.8222, kb_relative_information_score: 669.9984, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8389, predictive_accuracy: 0.8384, prior_entropy: 3.4594, recall: 0.8384, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.8453, kappa: 0.8311, kb_relative_information_score: 745.3333, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8458, predictive_accuracy: 0.8465, prior_entropy: 3.4594, recall: 0.8465, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9636, kappa: 0.96, kb_relative_information_score: 862.456, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 3.4594, recall: 0.9636, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8069, kappa: 0.7911, kb_relative_information_score: 571.6095, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8079, predictive_accuracy: 0.8101, prior_entropy: 3.4594, recall: 0.8101, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.209, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7898, kappa: 0.7733, kb_relative_information_score: 454.489, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7969, predictive_accuracy: 0.7939, prior_entropy: 3.4594, recall: 0.7939, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8472, kappa: 0.8344, kb_relative_information_score: 643.8778, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8498, predictive_accuracy: 0.8495, prior_entropy: 3.4594, recall: 0.8495, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8601, kappa: 0.8478, kb_relative_information_score: 690.08, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8633, predictive_accuracy: 0.8616, prior_entropy: 3.4594, recall: 0.8616, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.7465, kappa: 0.7233, kb_relative_information_score: 668.6007, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7479, predictive_accuracy: 0.7485, prior_entropy: 3.4594, recall: 0.7485, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.698, kappa: 0.6689, kb_relative_information_score: 620.8917, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7034, predictive_accuracy: 0.699, prior_entropy: 3.4594, recall: 0.699, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7539, kappa: 0.7333, kb_relative_information_score: 656.6345, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7563, predictive_accuracy: 0.7576, prior_entropy: 3.4594, recall: 0.7576, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8578, kappa: 0.8456, kb_relative_information_score: 718.7114, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8587, predictive_accuracy: 0.8596, prior_entropy: 3.4594, recall: 0.8596, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.6993, kappa: 0.6711, kb_relative_information_score: 623.2969, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7021, predictive_accuracy: 0.701, prior_entropy: 3.4594, recall: 0.701, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9239, kappa: 0.9167, kb_relative_information_score: 852.7389, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9239, predictive_accuracy: 0.9242, prior_entropy: 3.4594, recall: 0.9242, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9411, kappa: 0.9356, kb_relative_information_score: 763.4186, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9416, predictive_accuracy: 0.9414, prior_entropy: 3.4594, recall: 0.9414, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8432, kappa: 0.8311, kb_relative_information_score: 526.9421, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8511, predictive_accuracy: 0.8465, prior_entropy: 3.4594, recall: 0.8465, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.219, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, kappa: 0.3256, kb_relative_information_score: 256.784, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.3869, prior_entropy: 3.4594, recall: 0.3869, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.6919, kappa: 0.6622, kb_relative_information_score: 611.9016, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6968, predictive_accuracy: 0.6929, prior_entropy: 3.4594, recall: 0.6929, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.7056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8084, kappa: 0.79, kb_relative_information_score: 725.7599, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8103, predictive_accuracy: 0.8091, prior_entropy: 3.4594, recall: 0.8091, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.5874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9327, kappa: 0.9267, kb_relative_information_score: 789.4163, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9332, predictive_accuracy: 0.9333, prior_entropy: 3.4594, recall: 0.9333, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.4842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.8607, kappa: 0.8489, kb_relative_information_score: 499.539, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8647, predictive_accuracy: 0.8626, prior_entropy: 3.4594, recall: 0.8626, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8778, kappa: 0.8667, kb_relative_information_score: 755.9683, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8791, predictive_accuracy: 0.8788, prior_entropy: 3.4594, recall: 0.8788, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.5444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9167, kappa: 0.9089, kb_relative_information_score: 830.7532, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9173, predictive_accuracy: 0.9172, prior_entropy: 3.4594, recall: 0.9172, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.127, root_relative_squared_error: 0.4417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.7472, kappa: 0.7222, kb_relative_information_score: 140.5713, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7493, predictive_accuracy: 0.7475, prior_entropy: 3.4594, recall: 0.7475, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9581,

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