OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131923 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 246.1419, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6991, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7386, kappa: 0.4168, kb_relative_information_score: 233.4096, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7373, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 245.4933, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6991, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7268, kappa: 0.3907, kb_relative_information_score: 242.6314, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7252, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 245.4933, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6991, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7403, kappa: 0.4213, kb_relative_information_score: 235.2531, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.739, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7366, kappa: 0.4105, kb_relative_information_score: 228.1956, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7362, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7413, kappa: 0.4196, kb_relative_information_score: 225.3753, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7428, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7433, kappa: 0.4236, kb_relative_information_score: 224.4892, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7456, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.5134, kb_relative_information_score: 16.8645, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.6675, kappa: 0.2546, kb_relative_information_score: 82.9949, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6965, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.702, kappa: 0.3297, kb_relative_information_score: 110.3733, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7261, predictive_accuracy: 0.7292, prior_entropy: 0.9335, recall: 0.7292, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7657, kappa: 0.4753, kb_relative_information_score: 245.2194, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7672, kappa: 0.4788, kb_relative_information_score: 246.3354, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 252.1435, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7385, kappa: 0.4202, kb_relative_information_score: 266.6305, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7371, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7564, kappa: 0.4529, kb_relative_information_score: 225.5627, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7601, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.6298, kappa: 0.1837, kb_relative_information_score: 41.8059, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6907, predictive_accuracy: 0.6901, prior_entropy: 0.9335, recall: 0.6901, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.5925, kappa: 0.1236, kb_relative_information_score: 29.0452, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7053, predictive_accuracy: 0.6797, prior_entropy: 0.9335, recall: 0.6797, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7721, kappa: 0.4887, kb_relative_information_score: 241.6365, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7755, predictive_accuracy: 0.7799, prior_entropy: 0.9335, recall: 0.7799, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7647, kappa: 0.4725, kb_relative_information_score: 240.2691, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.634, kappa: 0.1922, kb_relative_information_score: 42.3743, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6947, predictive_accuracy: 0.6927, prior_entropy: 0.9335, recall: 0.6927, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7467, kappa: 0.4299, kb_relative_information_score: 195.0318, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7539, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.6223, kappa: 0.1787, kb_relative_information_score: 86.7267, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7275, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 252.6272, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7602, kappa: 0.462, kb_relative_information_score: 232.8123, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6029, kappa: 0.1366, kb_relative_information_score: 25.3155, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6847, predictive_accuracy: 0.6797, prior_entropy: 0.9335, recall: 0.6797, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 254.9563, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.5439, kappa: 0.0418, kb_relative_information_score: 11.4763, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6615, predictive_accuracy: 0.6589, prior_entropy: 0.9335, recall: 0.6589, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.011, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7344, kappa: 0.4019, kb_relative_information_score: 182.946, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7425, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.5377, kappa: 0.0354, kb_relative_information_score: -5.017, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6897, predictive_accuracy: 0.6589, prior_entropy: 0.9335, recall: 0.6589, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7583, kappa: 0.4575, kb_relative_information_score: 220.4917, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7415, kappa: 0.4179, kb_relative_information_score: 193.9197, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.7413, kappa: 0.4172, kb_relative_information_score: 157.1602, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7526, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7463, kappa: 0.4313, kb_relative_information_score: 199.1662, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7471, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7639, kappa: 0.4709, kb_relative_information_score: 240.7554, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7639, kappa: 0.4709, kb_relative_information_score: 242.9434, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7529, kappa: 0.4437, kb_relative_information_score: 178.8204, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.5134, kb_relative_information_score: -1.0151, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6426, kappa: 0.2073, kb_relative_information_score: 51.6811, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6936, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.0271, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5128, kappa: -0.0026, kb_relative_information_score: -29.8504, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4236, predictive_accuracy: 0.6497, prior_entropy: 0.9335, recall: 0.6497, relative_absolute_error: 1.0203, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7397, kappa: 0.4135, kb_relative_information_score: 169.5904, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7512, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.765, kappa: 0.4734, kb_relative_information_score: 253.8234, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, f_measure: 0.5481, kappa: 0.0518, kb_relative_information_score: -6.3272, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6968, predictive_accuracy: 0.6628, prior_entropy: 0.9335, recall: 0.6628, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: -0.2429, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7492, kappa: 0.4405, kb_relative_information_score: 265.4574, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7482, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.0523, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.734, kappa: 0.4005, kb_relative_information_score: 135.2239, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7505, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7055, kappa: 0.3512, kb_relative_information_score: 227.6427, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7052, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.753, kappa: 0.4503, kb_relative_information_score: 255.4939, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7517, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7549, kappa: 0.4484, kb_relative_information_score: 188.5134, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7172, kappa: 0.3629, kb_relative_information_score: 120.1498, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7366, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, f_measure: 0.5481, kappa: 0.0518, kb_relative_information_score: 1.9239, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6968, predictive_accuracy: 0.6628, prior_entropy: 0.9335, recall: 0.6628, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.745, kappa: 0.4256, kb_relative_information_score: 177.2366, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.755, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.6581, kappa: 0.2344, kb_relative_information_score: 74.6306, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.688, predictive_accuracy: 0.6979, prior_entropy: 0.9335, recall: 0.6979, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.569, kappa: 0.0832, kb_relative_information_score: 23.0876, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6899, predictive_accuracy: 0.6693, prior_entropy: 0.9335, recall: 0.6693, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.5725, kappa: 0.0872, kb_relative_information_score: 34.0165, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6809, predictive_accuracy: 0.6693, prior_entropy: 0.9335, recall: 0.6693, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.6787, kappa: 0.2838, kb_relative_information_score: 86.5873, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7322, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6467, kappa: 0.2157, kb_relative_information_score: 52.0435, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6973, predictive_accuracy: 0.6979, prior_entropy: 0.9335, recall: 0.6979, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: -1.4795, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7194, kappa: 0.3812, kb_relative_information_score: 254.8509, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7189, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.6739, kappa: 0.27, kb_relative_information_score: 80.0536, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7104, predictive_accuracy: 0.7122, prior_entropy: 0.9335, recall: 0.7122, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7512, kappa: 0.4459, kb_relative_information_score: 239.4043, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.753, kappa: 0.4443, kb_relative_information_score: 191.3415, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.5377, kappa: 0.0354, kb_relative_information_score: -7.2181, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6897, predictive_accuracy: 0.6589, prior_entropy: 0.9335, recall: 0.6589, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7583, kappa: 0.4575, kb_relative_information_score: 220.3192, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7642, kappa: 0.4719, kb_relative_information_score: 243.5121, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: -0.4682, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7524, kappa: 0.4448, kb_relative_information_score: 224.0526, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7541, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7316, kappa: 0.3951, kb_relative_information_score: 166.9003, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7443, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7149, kappa: 0.3678, kb_relative_information_score: 232.2993, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7132, predictive_accuracy: 0.7174, prior_entropy: 0.9335, recall: 0.7174, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.438, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7471, kappa: 0.4366, kb_relative_information_score: 240.6191, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7459, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7366, kappa: 0.4105, kb_relative_information_score: 193.3908, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7362, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7639, kappa: 0.4709, kb_relative_information_score: 240.233, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7354, kappa: 0.4123, kb_relative_information_score: 283.021, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 254.856, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 199.5764, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.5134, kb_relative_information_score: 19.5029, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 254.3316, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7541, kappa: 0.4468, kb_relative_information_score: 195.7567, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.761, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7397, kappa: 0.4135, kb_relative_information_score: 152.339, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7512, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.5128, kappa: -0.0026, kb_relative_information_score: -27.7794, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4236, predictive_accuracy: 0.6497, prior_entropy: 0.9335, recall: 0.6497, relative_absolute_error: 1.019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7431, kappa: 0.4249, kb_relative_information_score: 206.7376, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7431, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7609, kappa: 0.4639, kb_relative_information_score: 248.6293, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7679, kappa: 0.4792, kb_relative_information_score: 241.7064, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7713, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.6787, kappa: 0.2786, kb_relative_information_score: 84.4144, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7063, predictive_accuracy: 0.7122, prior_entropy: 0.9335, recall: 0.7122, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.0011, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7674, kappa: 0.4785, kb_relative_information_score: 251.8197, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 251.1836, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.6849, kappa: 0.2919, kb_relative_information_score: 86.4665, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7104, predictive_accuracy: 0.7161, prior_entropy: 0.9335, recall: 0.7161, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9216,

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