OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.7161, kappa: 0.4338, kb_relative_information_score: 0.4462, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.752, kappa: 0.5008, kb_relative_information_score: 0.4984, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6994, kappa: 0.3938, kb_relative_information_score: 0.3934, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6992, predictive_accuracy: 0.6998, prior_entropy: 0.9948, recall: 0.6998, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5603, kappa: 0.1957, kb_relative_information_score: 0.2388, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6988, predictive_accuracy: 0.6233, prior_entropy: 0.9948, recall: 0.6233, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6138, root_relative_squared_error: 1.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.6315, kappa: 0.2796, kb_relative_information_score: 0.3034, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6763, predictive_accuracy: 0.6553, prior_entropy: 0.9948, recall: 0.6553, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7358, kappa: 0.4674, kb_relative_information_score: 0.4667, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7582, kappa: 0.5122, kb_relative_information_score: 0.513, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7593, kappa: 0.5145, kb_relative_information_score: 0.5151, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5243, kappa: 0.0414, kb_relative_information_score: 0.0389, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5241, predictive_accuracy: 0.5244, prior_entropy: 0.9948, recall: 0.5244, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6896, root_relative_squared_error: 1.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.7204, kappa: 0.4363, kb_relative_information_score: 0.4354, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7202, predictive_accuracy: 0.7206, prior_entropy: 0.9948, recall: 0.7206, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.7234, kappa: 0.4426, kb_relative_information_score: 0.4413, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7233, predictive_accuracy: 0.7235, prior_entropy: 0.9948, recall: 0.7235, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.6268, kappa: 0.2854, kb_relative_information_score: 0.3147, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7051, predictive_accuracy: 0.6609, prior_entropy: 0.9948, recall: 0.6609, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6756, kappa: 0.3607, kb_relative_information_score: 0.3794, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7158, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7339, kappa: 0.4636, kb_relative_information_score: 0.4629, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7338, predictive_accuracy: 0.7342, prior_entropy: 0.9948, recall: 0.7342, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.7262, kappa: 0.4481, kb_relative_information_score: 0.4473, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7261, predictive_accuracy: 0.7265, prior_entropy: 0.9948, recall: 0.7265, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.523, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6762, kappa: 0.3619, kb_relative_information_score: 0.3805, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7162, predictive_accuracy: 0.6934, prior_entropy: 0.9948, recall: 0.6934, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.7231, kappa: 0.4418, kb_relative_information_score: 0.4408, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7229, predictive_accuracy: 0.7233, prior_entropy: 0.9948, recall: 0.7233, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7226, kappa: 0.4409, kb_relative_information_score: 0.4397, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7225, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6648, kappa: 0.3428, kb_relative_information_score: 0.3638, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7119, predictive_accuracy: 0.6852, prior_entropy: 0.9948, recall: 0.6852, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6629, kappa: 0.3398, kb_relative_information_score: 0.3611, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7112, predictive_accuracy: 0.6838, prior_entropy: 0.9948, recall: 0.6838, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.1286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3876, kappa: 0.0059, kb_relative_information_score: 0.0799, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6821, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6924, kappa: 0.38, kb_relative_information_score: 0.3789, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6923, predictive_accuracy: 0.6926, prior_entropy: 0.9948, recall: 0.6926, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5544, root_relative_squared_error: 1.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.7198, kappa: 0.4351, kb_relative_information_score: 0.4343, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7197, predictive_accuracy: 0.7201, prior_entropy: 0.9948, recall: 0.7201, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6855, kappa: 0.3663, kb_relative_information_score: 0.3648, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6854, predictive_accuracy: 0.6857, prior_entropy: 0.9948, recall: 0.6857, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5606, root_relative_squared_error: 1.1253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7683, kappa: 0.5325, kb_relative_information_score: 0.5335, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7689, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6958, kappa: 0.3944, kb_relative_information_score: 0.4085, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7217, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.541, root_relative_squared_error: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 0.0766, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7519, kappa: 0.4998, kb_relative_information_score: 0.499, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7518, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7681, kappa: 0.5336, kb_relative_information_score: 0.5308, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3873, kappa: 0.0063, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6667, kappa: 0.346, kb_relative_information_score: 0.3665, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7124, predictive_accuracy: 0.6865, prior_entropy: 0.9948, recall: 0.6865, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3876, kappa: 0.0059, kb_relative_information_score: 0.0799, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6821, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7667, kappa: 0.5309, kb_relative_information_score: 0.5281, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7674, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3877, kappa: 0.0064, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7144, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3873, kappa: 0.0063, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.7307, kappa: 0.457, kb_relative_information_score: 0.4564, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7306, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7386, kappa: 0.4728, kb_relative_information_score: 0.4726, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3876, kappa: 0.0059, kb_relative_information_score: 0.0799, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6821, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.766, kappa: 0.5296, kb_relative_information_score: 0.5265, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7669, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7595, kappa: 0.5156, kb_relative_information_score: 0.5141, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7068, kappa: 0.4142, kb_relative_information_score: 0.4263, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7276, predictive_accuracy: 0.7161, prior_entropy: 0.9948, recall: 0.7161, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6921, kappa: 0.3885, kb_relative_information_score: 0.4036, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7214, predictive_accuracy: 0.7049, prior_entropy: 0.9948, recall: 0.7049, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.4021, kappa: 0.0211, kb_relative_information_score: 0.0928, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7192, predictive_accuracy: 0.5511, prior_entropy: 0.9948, recall: 0.5511, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.67, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.3968, kappa: 0.0134, kb_relative_information_score: 0.0858, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6517, predictive_accuracy: 0.5476, prior_entropy: 0.9948, recall: 0.5476, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6726, root_relative_squared_error: 1.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.6718, kappa: 0.3556, kb_relative_information_score: 0.3756, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7174, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7547, kappa: 0.505, kb_relative_information_score: 0.506, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7757, kappa: 0.5474, kb_relative_information_score: 0.5491, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6049, kappa: 0.2557, kb_relative_information_score: 0.29, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7057, predictive_accuracy: 0.6486, prior_entropy: 0.9948, recall: 0.6486, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5928, root_relative_squared_error: 1.1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.4183, kappa: 0.0368, kb_relative_information_score: 0.1057, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.5575, prior_entropy: 0.9948, recall: 0.5575, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6652, root_relative_squared_error: 1.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 0.4839, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7526, kappa: 0.5007, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.3849, kappa: 0.0038, kb_relative_information_score: 0.0782, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.5439, prior_entropy: 0.9948, recall: 0.5439, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6754, root_relative_squared_error: 1.3556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7556, kappa: 0.5069, kb_relative_information_score: 0.5076, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6085, kappa: 0.2603, kb_relative_information_score: 0.2937, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.705, predictive_accuracy: 0.6505, prior_entropy: 0.9948, recall: 0.6505, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5912, root_relative_squared_error: 1.1866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.3943, kappa: 0.0118, kb_relative_information_score: 0.0847, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6715, predictive_accuracy: 0.5471, prior_entropy: 0.9948, recall: 0.5471, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.394, kappa: 0.0123, kb_relative_information_score: 0.0852, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6984, predictive_accuracy: 0.5473, prior_entropy: 0.9948, recall: 0.5473, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6728, root_relative_squared_error: 1.3505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7408, kappa: 0.4776, kb_relative_information_score: 0.4764, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7807, kappa: 0.5576, kb_relative_information_score: 0.5582, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.5924, kappa: 0.2386, kb_relative_information_score: 0.2754, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7043, predictive_accuracy: 0.6414, prior_entropy: 0.9948, recall: 0.6414, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5988, root_relative_squared_error: 1.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6855, kappa: 0.3766, kb_relative_information_score: 0.3929, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7174, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.1002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7417, kappa: 0.4792, kb_relative_information_score: 0.4839, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7466, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7585, kappa: 0.5127, kb_relative_information_score: 0.5135, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7355, kappa: 0.4668, kb_relative_information_score: 0.4661, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7592, kappa: 0.5156, kb_relative_information_score: 0.513, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.5077, kappa: 0.1366, kb_relative_information_score: 0.1903, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7152, predictive_accuracy: 0.5993, prior_entropy: 0.9948, recall: 0.5993, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.633, root_relative_squared_error: 1.2706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7539, kappa: 0.5044, kb_relative_information_score: 0.5103, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.5147, kappa: 0.1449, kb_relative_information_score: 0.1973, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7154, predictive_accuracy: 0.6028, prior_entropy: 0.9948, recall: 0.6028, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.5587, kappa: 0.2016, kb_relative_information_score: 0.2463, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7258, predictive_accuracy: 0.627, prior_entropy: 0.9948, recall: 0.627, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.3908, kappa: 0.0101, kb_relative_information_score: 0.0836, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.5465, prior_entropy: 0.9948, recall: 0.5465, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6734, root_relative_squared_error: 1.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.59, kappa: 0.2444, kb_relative_information_score: 0.2835, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7322, predictive_accuracy: 0.6454, prior_entropy: 0.9948, recall: 0.6454, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6635, kappa: 0.3479, kb_relative_information_score: 0.3718, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7308, predictive_accuracy: 0.6891, prior_entropy: 0.9948, recall: 0.6891, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6763, kappa: 0.3679, kb_relative_information_score: 0.3891, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7324, predictive_accuracy: 0.6977, prior_entropy: 0.9948, recall: 0.6977, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5074, kappa: 0.1356, kb_relative_information_score: 0.1892, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7122, predictive_accuracy: 0.5988, prior_entropy: 0.9948, recall: 0.5988, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6334, root_relative_squared_error: 1.2714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7821, kappa: 0.5609, kb_relative_information_score: 0.5599, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7428, kappa: 0.4814, kb_relative_information_score: 0.4812, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7428, predictive_accuracy: 0.7433, prior_entropy: 0.9948, recall: 0.7433, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7428, kappa: 0.4815, kb_relative_information_score: 0.4807, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7427, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7668, kappa: 0.5311, kb_relative_information_score: 0.5281, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7676, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.787, kappa: 0.5708, kb_relative_information_score: 0.5696, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7869, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7678, kappa: 0.5329, kb_relative_information_score: 0.5302, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7684, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7802, kappa: 0.5577, kb_relative_information_score: 0.5556, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7805, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7659, kappa: 0.5293, kb_relative_information_score: 0.5265, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7401, kappa: 0.476, kb_relative_information_score: 0.4753, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.74, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7701, kappa: 0.5361, kb_relative_information_score: 0.5367, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7704, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.7086, kappa: 0.4177, kb_relative_information_score: 0.4295, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.729, predictive_accuracy: 0.7177, prior_entropy: 0.9948, recall: 0.7177, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5313, root_relative_squared_error: 1.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.4116, kappa: 0.0292, kb_relative_information_score: 0.0993, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6901, predictive_accuracy: 0.5543, prior_entropy: 0.9948, recall: 0.5543, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6676, root_relative_squared_error: 1.3401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6523, kappa: 0.2997, kb_relative_information_score: 0.2975, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6523, predictive_accuracy: 0.6524, prior_entropy: 0.9948, recall: 0.6524, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.1835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.4155, kappa: 0.0336, kb_relative_information_score: 0.103, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6972, predictive_accuracy: 0.5561, prior_entropy: 0.9948, recall: 0.5561, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6662, root_relative_squared_error: 1.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.4388, kappa: 0.058, kb_relative_information_score: 0.1235, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.702, predictive_accuracy: 0.5662, prior_entropy: 0.9948, recall: 0.5662, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6586, root_relative_squared_error: 1.3219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.4375, kappa: 0.0572, kb_relative_information_score: 0.123, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7074, predictive_accuracy: 0.566, prior_entropy: 0.9948, recall: 0.566, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.3893, kappa: 0.0072, kb_relative_information_score: 0.0809, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6719, predictive_accuracy: 0.5452, prior_entropy: 0.9948, recall: 0.5452, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6744, root_relative_squared_error: 1.3536,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs