Task
Supervised Classification on irish

Supervised Classification on irish

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

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.5432, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.732, kappa: 0.4568, kb_relative_information_score: 59.5521, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7424, predictive_accuracy: 0.738, prior_entropy: 0.991, recall: 0.738, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8046, kappa: 0.6084, kb_relative_information_score: 197.9505, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.811, predictive_accuracy: 0.804, prior_entropy: 0.991, recall: 0.804, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.9041, kappa: 0.8061, kb_relative_information_score: 386.7927, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9045, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.4252, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.6899, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7865, kappa: 0.5695, kb_relative_information_score: 231.3555, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7885, predictive_accuracy: 0.786, prior_entropy: 0.991, recall: 0.786, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.4976, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.8941, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -15.7528, mean_absolute_error: 0.5044, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -12.8278, mean_absolute_error: 0.5022, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8667, kappa: 0.7292, kb_relative_information_score: 346.3446, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8711, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.3415, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.683, kappa: 0.3643, kb_relative_information_score: 74.3402, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6886, predictive_accuracy: 0.682, prior_entropy: 0.991, recall: 0.682, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.3185, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.2258, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -29.2517, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: 7.0604, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9457, kappa: 0.8898, kb_relative_information_score: 405.1195, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9477, predictive_accuracy: 0.946, prior_entropy: 0.991, recall: 0.946, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.634, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.1425, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 464.2639, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8664, kappa: 0.7309, kb_relative_information_score: 274.6978, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8693, predictive_accuracy: 0.866, prior_entropy: 0.991, recall: 0.866, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 441.5835, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.1857, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5915, root_relative_squared_error: 1.1905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.0859, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -7.6082, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.5206, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.9735, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.6812, kappa: 0.3523, kb_relative_information_score: 121.9562, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6822, predictive_accuracy: 0.684, prior_entropy: 0.991, recall: 0.684, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.982, kappa: 0.9634, kb_relative_information_score: 333.1343, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9826, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 413.4879, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.2921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.4941, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6816, kappa: 0.3545, kb_relative_information_score: 60.5564, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6813, predictive_accuracy: 0.682, prior_entropy: 0.991, recall: 0.682, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.4629, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.2443, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6635, kappa: 0.3176, kb_relative_information_score: 98.6243, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6632, predictive_accuracy: 0.664, prior_entropy: 0.991, recall: 0.664, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 435.5494, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.2534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -5.225, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.7842, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.4491, kappa: 0.0597, kb_relative_information_score: 22.2055, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7607, predictive_accuracy: 0.58, prior_entropy: 0.991, recall: 0.58, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.578, kappa: 0.23, kb_relative_information_score: 20.6174, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7852, predictive_accuracy: 0.65, prior_entropy: 0.991, recall: 0.65, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.4257, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.9992, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8547, kappa: 0.7071, kb_relative_information_score: 169.0429, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8882, predictive_accuracy: 0.86, prior_entropy: 0.991, recall: 0.86, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.2247, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8745, kappa: 0.7461, kb_relative_information_score: 257.9929, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8983, predictive_accuracy: 0.878, prior_entropy: 0.991, recall: 0.878, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: -3.7434, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8879, kappa: 0.7726, kb_relative_information_score: 299.9842, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9014, predictive_accuracy: 0.89, prior_entropy: 0.991, recall: 0.89, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.6044, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.578, kappa: 0.23, kb_relative_information_score: 67.6862, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7852, predictive_accuracy: 0.65, prior_entropy: 0.991, recall: 0.65, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.915, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.5257, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9017, kappa: 0.8005, kb_relative_information_score: 205.1446, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9023, predictive_accuracy: 0.902, prior_entropy: 0.991, recall: 0.902, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8385, kappa: 0.677, kb_relative_information_score: 173.0248, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8472, predictive_accuracy: 0.838, prior_entropy: 0.991, recall: 0.838, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 220.2073, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.9163, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -10.0903, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.4552, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.274, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.2089, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8621, kappa: 0.7211, kb_relative_information_score: 227.8346, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8625, predictive_accuracy: 0.862, prior_entropy: 0.991, recall: 0.862, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 7.0065, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.3925, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.1049, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -34.3053, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.1042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9037, kappa: 0.8047, kb_relative_information_score: 350.752, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9042, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -6.9418, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.5724, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8812, kappa: 0.7587, kb_relative_information_score: 275.9301, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8836, predictive_accuracy: 0.882, prior_entropy: 0.991, recall: 0.882, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.8824, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.7675, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -8.5599, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.1465, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.6809, kappa: 0.3577, kb_relative_information_score: 46.2946, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.684, predictive_accuracy: 0.68, prior_entropy: 0.991, recall: 0.68, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.8775, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8934, kappa: 0.7834, kb_relative_information_score: 360.086, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8954, predictive_accuracy: 0.894, prior_entropy: 0.991, recall: 0.894, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.4739, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 75.2118, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.8878, kappa: 0.7725, kb_relative_information_score: 319.5245, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.991, recall: 0.888, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6827, kappa: 0.3597, kb_relative_information_score: 31.3071, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6844, predictive_accuracy: 0.682, prior_entropy: 0.991, recall: 0.682, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 233.5875, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.7531, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.1861, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.8995, kappa: 0.796, kb_relative_information_score: 306.5824, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.901, predictive_accuracy: 0.9, prior_entropy: 0.991, recall: 0.9, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8914, kappa: 0.78, kb_relative_information_score: 335.4433, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.911, predictive_accuracy: 0.894, prior_entropy: 0.991, recall: 0.894, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.5907, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.2934, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.3489, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.1312, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -26.3413, mean_absolute_error: 0.5127, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.7787, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9037, kappa: 0.8045, kb_relative_information_score: 327.137, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9044, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9037, kappa: 0.8047, kb_relative_information_score: 310.8406, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9042, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.6613, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.7746, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,

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