OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 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: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, 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: 0.9997, 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: 0.8307, f_measure: 0.7588, kappa: 0.458, kb_relative_information_score: 225.0836, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.5134, kb_relative_information_score: 32.0484, mean_absolute_error: 0.4402, 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: 0.9686, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7592, kappa: 0.4586, kb_relative_information_score: 222.8959, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 249.2563, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, 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: 0.9997, 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: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, 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: 0.9997, 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: 0.8303, f_measure: 0.7716, kappa: 0.488, kb_relative_information_score: 253.7072, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, 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: 0.9997, 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: 0.7969, f_measure: 0.7389, kappa: 0.4178, kb_relative_information_score: 234.0867, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7375, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 229.2171, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7416, kappa: 0.4214, kb_relative_information_score: 227.6772, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7417, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7297, kappa: 0.3977, kb_relative_information_score: 237.9712, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7282, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8881,
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: 0.7856, f_measure: 0.7321, kappa: 0.4025, kb_relative_information_score: 241.2021, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7306, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7433, kappa: 0.4236, kb_relative_information_score: 224.0646, mean_absolute_error: 0.3255, 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: 0.7162, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7433, kappa: 0.4236, kb_relative_information_score: 224.0646, mean_absolute_error: 0.3255, 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: 0.7162, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7355, kappa: 0.4072, kb_relative_information_score: 225.8106, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7359, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7397, kappa: 0.4168, kb_relative_information_score: 226.2317, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.712, 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: 0.8082, f_measure: 0.7382, kappa: 0.4133, kb_relative_information_score: 226.6763, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7387, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7398, kappa: 0.4161, kb_relative_information_score: 224.9192, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7433, kappa: 0.4236, kb_relative_information_score: 224.0646, mean_absolute_error: 0.3255, 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: 0.7162, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8559,
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: 0.7904, f_measure: 0.7297, kappa: 0.3977, kb_relative_information_score: 237.9712, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7282, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7397, kappa: 0.4168, kb_relative_information_score: 226.2317, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.712, 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: 0.8074, f_measure: 0.7416, kappa: 0.4214, kb_relative_information_score: 227.1491, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7417, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8601,
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: 0.781, 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: 0.781, 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: 0.7877, f_measure: 0.7283, kappa: 0.3942, kb_relative_information_score: 239.4725, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7267, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7417, kappa: 0.42, kb_relative_information_score: 223.6798, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 247.9739, mean_absolute_error: 0.2956, 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: 0.6503, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1406,
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: 0.8007, f_measure: 0.7346, kappa: 0.4066, kb_relative_information_score: 231.5533, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7397, kappa: 0.4168, kb_relative_information_score: 226.2317, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.712, 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: 0.8082, f_measure: 0.7382, kappa: 0.4133, kb_relative_information_score: 226.6763, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7387, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7369, kappa: 0.4115, kb_relative_information_score: 228.6806, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7364, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8635,
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: 0.806, 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: 0.7935, f_measure: 0.7389, kappa: 0.4178, kb_relative_information_score: 236.6451, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7375, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7416, kappa: 0.4214, kb_relative_information_score: 227.6772, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7417, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8611,
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: 0.7969, f_measure: 0.7389, kappa: 0.4178, kb_relative_information_score: 234.0867, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7375, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7346, kappa: 0.4066, kb_relative_information_score: 231.5533, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8698,
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: 0.8111, 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: 0.7969, f_measure: 0.7389, kappa: 0.4178, kb_relative_information_score: 234.0867, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7375, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7398, kappa: 0.4161, kb_relative_information_score: 224.9192, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7382, kappa: 0.4133, kb_relative_information_score: 226.6763, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7387, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7369, kappa: 0.4115, kb_relative_information_score: 228.6806, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7364, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7369, kappa: 0.4115, kb_relative_information_score: 228.6806, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7364, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8635,
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: 0.7935, f_measure: 0.7389, kappa: 0.4178, kb_relative_information_score: 236.6451, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7375, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8835,
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: 0.8, f_measure: 0.7361, kappa: 0.4101, kb_relative_information_score: 232.6375, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7352, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 247.9739, mean_absolute_error: 0.2956, 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: 0.6503, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7355, kappa: 0.4072, kb_relative_information_score: 225.8106, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7359, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7389, kappa: 0.4178, kb_relative_information_score: 236.6451, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7375, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7398, kappa: 0.4161, kb_relative_information_score: 224.9192, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 247.9739, mean_absolute_error: 0.2956, 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: 0.6503, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1406,
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: 0.7603, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 245.6259, mean_absolute_error: 0.298, 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: 0.6557, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7355, kappa: 0.4072, kb_relative_information_score: 225.8106, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7359, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7369, kappa: 0.4115, kb_relative_information_score: 228.6806, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7364, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7321, kappa: 0.4025, kb_relative_information_score: 241.2021, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7306, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7361, kappa: 0.4101, kb_relative_information_score: 229.8818, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7352, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7346, kappa: 0.4066, kb_relative_information_score: 231.5533, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8698,
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: 0.7955, 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: 0.7987, 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: 0.8101, 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: 0.7904, f_measure: 0.7297, kappa: 0.3977, kb_relative_information_score: 237.9712, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7282, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7389, kappa: 0.4178, kb_relative_information_score: 236.6451, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7375, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7417, kappa: 0.42, kb_relative_information_score: 223.6798, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7433, kappa: 0.4236, kb_relative_information_score: 224.0646, mean_absolute_error: 0.3255, 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: 0.7162, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8559,
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: 0.8107, f_measure: 0.7398, kappa: 0.4161, kb_relative_information_score: 224.9192, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7334, kappa: 0.4042, kb_relative_information_score: 230.6058, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7325, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7355, kappa: 0.4072, kb_relative_information_score: 225.8106, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7359, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8578,
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: 0.7743, f_measure: 0.7268, kappa: 0.3907, kb_relative_information_score: 244.3807, mean_absolute_error: 0.3031, 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: 0.6668, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7382, kappa: 0.4133, kb_relative_information_score: 226.6763, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7387, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8593,
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: 0.8119, f_measure: 0.7417, kappa: 0.42, kb_relative_information_score: 223.6798, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 245.6259, mean_absolute_error: 0.298, 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: 0.6557, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7433, kappa: 0.4236, kb_relative_information_score: 224.0646, mean_absolute_error: 0.3255, 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: 0.7162, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7297, kappa: 0.3977, kb_relative_information_score: 237.9712, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7282, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7417, kappa: 0.42, kb_relative_information_score: 223.6798, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8555,
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: 0.8091, f_measure: 0.7397, kappa: 0.4168, kb_relative_information_score: 226.2317, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.712, 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: 0.7987, 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: 0.6648, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 247.9739, mean_absolute_error: 0.2956, 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: 0.6503, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7398, kappa: 0.4161, kb_relative_information_score: 224.9192, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7369, kappa: 0.4115, kb_relative_information_score: 228.6806, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7364, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8635,
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: 0.6648, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 247.9739, mean_absolute_error: 0.2956, 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: 0.6503, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7398, kappa: 0.4161, kb_relative_information_score: 224.9192, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 247.9739, mean_absolute_error: 0.2956, 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: 0.6503, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.7268, kappa: 0.3907, kb_relative_information_score: 244.3807, mean_absolute_error: 0.3031, 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: 0.6668, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9279,

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