Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 92774 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 11.9156, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: 60.1541, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8084, kappa: 0.5959, kb_relative_information_score: 2375.2386, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8091, predictive_accuracy: 0.8105, prior_entropy: 0.9674, recall: 0.8105, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 12.2594, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8723, kappa: 0.7312, kb_relative_information_score: 2590.3302, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.873, predictive_accuracy: 0.8733, prior_entropy: 0.9674, recall: 0.8733, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 46.4818, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8862, kappa: 0.761, kb_relative_information_score: 3158.5828, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8862, predictive_accuracy: 0.8865, prior_entropy: 0.9674, recall: 0.8865, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 4.6997, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 45.7548, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7876, kappa: 0.5551, kb_relative_information_score: 1542.3125, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7876, predictive_accuracy: 0.7877, prior_entropy: 0.9674, recall: 0.7877, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -6.2346, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.824, kappa: 0.63, kb_relative_information_score: 2446.0012, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8238, predictive_accuracy: 0.8248, prior_entropy: 0.9674, recall: 0.8248, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8244, kappa: 0.632, kb_relative_information_score: 2261.1311, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8243, predictive_accuracy: 0.8246, prior_entropy: 0.9674, recall: 0.8246, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 30.5516, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 5.2902, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 14.6006, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 5.0152, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 16.7664, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8871, kappa: 0.7621, kb_relative_information_score: 2760.2747, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8882, predictive_accuracy: 0.8881, prior_entropy: 0.9674, recall: 0.8881, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -5.2768, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 12.0304, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 9.3088, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8199, kappa: 0.6202, kb_relative_information_score: 2226.6837, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8207, predictive_accuracy: 0.8218, prior_entropy: 0.9674, recall: 0.8218, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1353.9695, mean_absolute_error: 0.606, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.394, prior_entropy: 0.9674, recall: 0.394, relative_absolute_error: 1.2689, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7784, root_relative_squared_error: 1.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9059, kappa: 0.8017, kb_relative_information_score: 2835.8003, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9074, predictive_accuracy: 0.9068, prior_entropy: 0.9674, recall: 0.9068, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8723, kappa: 0.7313, kb_relative_information_score: 2744.339, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8726, predictive_accuracy: 0.8731, prior_entropy: 0.9674, recall: 0.8731, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 1.1373, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 55.0067, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.32, kappa: -0.0003, kb_relative_information_score: -1146.7892, mean_absolute_error: 0.5849, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.4151, prior_entropy: 0.9674, recall: 0.4151, relative_absolute_error: 1.2247, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7648, root_relative_squared_error: 1.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 36.3129, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 0.557, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.93, kappa: 0.8528, kb_relative_information_score: 3283.7078, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9307, predictive_accuracy: 0.9304, prior_entropy: 0.9674, recall: 0.9304, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -16.8016, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, kb_relative_information_score: -50.094, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8728, kappa: 0.7347, kb_relative_information_score: 3174.1221, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8736, predictive_accuracy: 0.8724, prior_entropy: 0.9674, recall: 0.8724, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -37.5009, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9354, kappa: 0.8646, kb_relative_information_score: 3683.64, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9354, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7857, kappa: 0.5462, kb_relative_information_score: 1184.9269, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7992, predictive_accuracy: 0.7937, prior_entropy: 0.9674, recall: 0.7937, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4365, f_measure: 0.4527, kappa: -0.1121, kb_relative_information_score: -839.2224, mean_absolute_error: 0.5536, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4669, predictive_accuracy: 0.4464, prior_entropy: 0.9674, recall: 0.4464, relative_absolute_error: 1.1592, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.744, root_relative_squared_error: 1.5226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8501, kappa: 0.6843, kb_relative_information_score: 2480.5648, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8504, predictive_accuracy: 0.8511, prior_entropy: 0.9674, recall: 0.8511, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -87.9629, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0109, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 30.176, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8343, kappa: 0.6497, kb_relative_information_score: 1640.9857, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8381, predictive_accuracy: 0.8372, prior_entropy: 0.9674, recall: 0.8372, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 3.3468, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.502, kappa: 0.0004, kb_relative_information_score: 521.3332, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5228, predictive_accuracy: 0.5849, prior_entropy: 0.9674, recall: 0.5849, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6443, root_relative_squared_error: 1.3186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8902, kappa: 0.7688, kb_relative_information_score: 3122.8771, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8908, predictive_accuracy: 0.8909, prior_entropy: 0.9674, recall: 0.8909, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -8.2801, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -16.8541, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: 43.1322, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6192, kappa: 0.2233, kb_relative_information_score: 182.8515, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6986, predictive_accuracy: 0.6727, prior_entropy: 0.9674, recall: 0.6727, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -23.2314, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8334, kappa: 0.6472, kb_relative_information_score: 1535.9369, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.856, predictive_accuracy: 0.8407, prior_entropy: 0.9674, recall: 0.8407, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 23.2415, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 47.6719, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9263, kappa: 0.8451, kb_relative_information_score: 3223.8023, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9265, predictive_accuracy: 0.9265, prior_entropy: 0.9674, recall: 0.9265, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8098, kappa: 0.6029, kb_relative_information_score: 2560.2138, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8105, predictive_accuracy: 0.8094, prior_entropy: 0.9674, recall: 0.8094, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8286, kappa: 0.6375, kb_relative_information_score: 1626.5341, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8569, predictive_accuracy: 0.8372, prior_entropy: 0.9674, recall: 0.8372, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8924, kappa: 0.7739, kb_relative_information_score: 3185.9715, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8925, predictive_accuracy: 0.8928, prior_entropy: 0.9674, recall: 0.8928, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8317, kappa: 0.6467, kb_relative_information_score: 2725.0054, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8315, predictive_accuracy: 0.8322, prior_entropy: 0.9674, recall: 0.8322, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8302, kappa: 0.643, kb_relative_information_score: 2229.2919, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8301, predictive_accuracy: 0.8311, prior_entropy: 0.9674, recall: 0.8311, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.83, kappa: 0.6407, kb_relative_information_score: 1617.3509, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8333, predictive_accuracy: 0.8329, prior_entropy: 0.9674, recall: 0.8329, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -29.5719, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 13.4972, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 2.8936, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9394, kappa: 0.8727, kb_relative_information_score: 4007.0895, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9674, recall: 0.9396, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 51.2442, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -40.825, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -16.9715, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 3.6021, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9471, kappa: 0.8891, kb_relative_information_score: 3828.9088, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9471, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 1.6926, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -30.8893, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9087, kappa: 0.8087, kb_relative_information_score: 3573.0681, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9087, predictive_accuracy: 0.9087, prior_entropy: 0.9674, recall: 0.9087, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8787, kappa: 0.7435, kb_relative_information_score: 2288.8128, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.884, predictive_accuracy: 0.8809, prior_entropy: 0.9674, recall: 0.8809, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9341, kappa: 0.8616, kb_relative_information_score: 3392.4868, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9344, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8282, kappa: 0.6364, kb_relative_information_score: 1796.4783, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8335, predictive_accuracy: 0.8318, prior_entropy: 0.9674, recall: 0.8318, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8358, kappa: 0.6545, kb_relative_information_score: 2540.7595, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8358, predictive_accuracy: 0.8368, prior_entropy: 0.9674, recall: 0.8368, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -8.4557, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7871, kappa: 0.5514, kb_relative_information_score: 2282.8588, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7871, predictive_accuracy: 0.789, prior_entropy: 0.9674, recall: 0.789, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8563, kappa: 0.6972, kb_relative_information_score: 2540.1696, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8572, predictive_accuracy: 0.8576, prior_entropy: 0.9674, recall: 0.8576, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.323, root_relative_squared_error: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 11.291, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -20.1147, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.922, kappa: 0.8367, kb_relative_information_score: 3543.9082, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.922, predictive_accuracy: 0.922, prior_entropy: 0.9674, recall: 0.922, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 33.596, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.778, kappa: 0.5306, kb_relative_information_score: 1975.2872, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7804, predictive_accuracy: 0.782, prior_entropy: 0.9674, recall: 0.782, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8919, kappa: 0.7724, kb_relative_information_score: 3152.0581, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8926, predictive_accuracy: 0.8926, prior_entropy: 0.9674, recall: 0.8926, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -13.8924, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -0.9997, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 17.5919, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9261, kappa: 0.845, kb_relative_information_score: 3629.733, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9262, predictive_accuracy: 0.9263, prior_entropy: 0.9674, recall: 0.9263, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9007, kappa: 0.7912, kb_relative_information_score: 2569.3681, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9009, predictive_accuracy: 0.9011, prior_entropy: 0.9674, recall: 0.9011, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -9.852, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 44.0621, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 10.6099, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 4.3454, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 5.2837, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1003.025, mean_absolute_error: 0.5605, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.394, prior_entropy: 0.9674, recall: 0.394, relative_absolute_error: 1.1737, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 25.3322, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 25.9378, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7022, kappa: 0.4036, kb_relative_information_score: 1425.9745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7286, predictive_accuracy: 0.699, prior_entropy: 0.9674, recall: 0.699, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9607,

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