OpenML
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 416626 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 study_130 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.5023, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7117, kappa: 0.2841, kb_relative_information_score: 134.939, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7209, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.7104, kappa: 0.283, kb_relative_information_score: 164.7981, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7124, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.2855, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7142, kappa: 0.2908, kb_relative_information_score: 172.1932, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7221, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.0689, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, kb_relative_information_score: -16.8239, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.9341, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.461, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.86, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.5934, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -55.6513, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0254, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7178, kappa: 0.2998, kb_relative_information_score: 166.2592, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7261, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.411, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.0756, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.6909, kappa: 0.2347, kb_relative_information_score: 130.5103, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6898, predictive_accuracy: 0.715, prior_entropy: 0.8818, recall: 0.715, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.3203, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.6814, kappa: 0.2195, kb_relative_information_score: 120.2566, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6755, predictive_accuracy: 0.695, prior_entropy: 0.8818, recall: 0.695, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6982, kappa: 0.2508, kb_relative_information_score: 157.5142, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7033, predictive_accuracy: 0.727, prior_entropy: 0.8818, recall: 0.727, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -138.2796, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.7772, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -48.018, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0218, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.2699, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.6036, kappa: 0.0553, kb_relative_information_score: -106.4722, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6032, predictive_accuracy: 0.604, prior_entropy: 0.8818, recall: 0.604, relative_absolute_error: 1.0388, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.2187, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.7286, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.2626, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, kb_relative_information_score: -59.7229, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0275, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7226, kappa: 0.3272, kb_relative_information_score: 222.0412, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.719, predictive_accuracy: 0.729, prior_entropy: 0.8818, recall: 0.729, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.2843, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.3356, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.141, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.7963, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.0521, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -43.5516, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -118.5853, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0568, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.8501, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.3073, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -171.0116, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0854, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.467, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, kb_relative_information_score: 10.47, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7137, kappa: 0.3046, kb_relative_information_score: 208.2705, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7097, predictive_accuracy: 0.721, prior_entropy: 0.8818, recall: 0.721, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4613, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, kb_relative_information_score: 12.3938, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.513, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6973, kappa: 0.2575, kb_relative_information_score: 135.4807, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6925, predictive_accuracy: 0.711, prior_entropy: 0.8818, recall: 0.711, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7266, kappa: 0.3267, kb_relative_information_score: 206.494, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7256, predictive_accuracy: 0.742, prior_entropy: 0.8818, recall: 0.742, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6876, kappa: 0.2335, kb_relative_information_score: 100.7819, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6822, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, kb_relative_information_score: 12.853, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0239, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -39.2726, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.6814, kappa: 0.24, kb_relative_information_score: 116.8494, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6808, predictive_accuracy: 0.682, prior_entropy: 0.8818, recall: 0.682, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -49.8394, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.6751, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.708, kappa: 0.2773, kb_relative_information_score: 140.592, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7089, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.6352, kappa: 0.1069, kb_relative_information_score: 147.7861, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6808, predictive_accuracy: 0.711, prior_entropy: 0.8818, recall: 0.711, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.4717, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.6503, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.3408, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -36.8301, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -11.9065, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.6675, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.4982, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3811, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.6986, kappa: 0.2956, kb_relative_information_score: 218.4855, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.705, predictive_accuracy: 0.694, prior_entropy: 0.8818, recall: 0.694, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.2071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.6877, kappa: 0.2696, kb_relative_information_score: 190.4117, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.694, predictive_accuracy: 0.683, prior_entropy: 0.8818, recall: 0.683, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.563, root_relative_squared_error: 1.2286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.5682, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.6414, kappa: 0.1288, kb_relative_information_score: 112.9517, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7406, predictive_accuracy: 0.724, prior_entropy: 0.8818, recall: 0.724, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7219, kappa: 0.3149, kb_relative_information_score: 176.2319, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7207, predictive_accuracy: 0.738, prior_entropy: 0.8818, recall: 0.738, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.2401, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.6195, kappa: 0.0547, kb_relative_information_score: -57.2888, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6102, predictive_accuracy: 0.668, prior_entropy: 0.8818, recall: 0.668, relative_absolute_error: 1.0146, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4694, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -142.9285, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0698, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.354, kappa: -0.0163, kb_relative_information_score: -587.9984, mean_absolute_error: 0.622, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5622, predictive_accuracy: 0.378, prior_entropy: 0.8818, recall: 0.378, relative_absolute_error: 1.4804, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.7887, root_relative_squared_error: 1.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7173, kappa: 0.3173, kb_relative_information_score: 180.9553, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7141, predictive_accuracy: 0.722, prior_entropy: 0.8818, recall: 0.722, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.6902, kappa: 0.234, kb_relative_information_score: 146.3288, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7389, predictive_accuracy: 0.742, prior_entropy: 0.8818, recall: 0.742, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.1208, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.0914, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -203.6988, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.1044, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4713, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -62.8622, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -41.3087, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 51.3816, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.6351, kappa: 0.1114, kb_relative_information_score: 95.9808, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6277, predictive_accuracy: 0.646, prior_entropy: 0.8818, recall: 0.646, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.595, root_relative_squared_error: 1.2984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7177, kappa: 0.3044, kb_relative_information_score: 167.0729, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7161, predictive_accuracy: 0.734, prior_entropy: 0.8818, recall: 0.734, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.9102, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6335, kappa: 0.1063, kb_relative_information_score: 97.2373, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6945, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.7014, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -296.7292, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.1641, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.8866, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.6251, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6984, kappa: 0.2691, kb_relative_information_score: 158.5804, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6942, predictive_accuracy: 0.705, prior_entropy: 0.8818, recall: 0.705, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 116.0037, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.4265, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.6947, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.6755, kappa: 0.2116, kb_relative_information_score: 112.4848, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6702, predictive_accuracy: 0.684, prior_entropy: 0.8818, recall: 0.684, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -57.219, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0261, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.7113, kappa: 0.3049, kb_relative_information_score: 208.5255, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7085, predictive_accuracy: 0.715, prior_entropy: 0.8818, recall: 0.715, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.3463, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4592, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.699, kappa: 0.2589, kb_relative_information_score: 123.6578, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6954, predictive_accuracy: 0.716, prior_entropy: 0.8818, recall: 0.716, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.42, kb_relative_information_score: -480.8075, mean_absolute_error: 0.58, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.58, predictive_accuracy: 0.42, prior_entropy: 0.8818, recall: 0.42, relative_absolute_error: 1.3804, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.7616, root_relative_squared_error: 1.6619,

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