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: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 283.5732, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7547, kappa: 0.4547, kb_relative_information_score: 301.8912, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7534, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7552, kappa: 0.4566, kb_relative_information_score: 268.5494, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.754, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6473, 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: 0.7946, f_measure: 0.7534, kappa: 0.4537, kb_relative_information_score: 297.3, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7522, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7641, kappa: 0.4779, kb_relative_information_score: 299.2338, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.7569, kappa: 0.4535, kb_relative_information_score: 357.8742, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.7423, kappa: 0.4235, kb_relative_information_score: 325.8199, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7419, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7491, kappa: 0.4362, kb_relative_information_score: 344.1366, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.753, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7363, kappa: 0.4079, kb_relative_information_score: 321.2408, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 362.4533, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7634, kappa: 0.4751, kb_relative_information_score: 355.5846, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7622, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7571, kappa: 0.4596, kb_relative_information_score: 346.4262, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7557, kappa: 0.4548, kb_relative_information_score: 346.4262, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7683, kappa: 0.4838, kb_relative_information_score: 367.0325, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7339, kappa: 0.4071, kb_relative_information_score: 307.5032, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7324, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7483, kappa: 0.4405, kb_relative_information_score: 330.3991, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7469, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7341, kappa: 0.4063, kb_relative_information_score: 309.7928, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7329, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.739, kappa: 0.4147, kb_relative_information_score: 263.6212, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.74, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7683, kappa: 0.4838, kb_relative_information_score: 367.0325, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7483, kappa: 0.4405, kb_relative_information_score: 330.3991, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7469, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7688, kappa: 0.4856, kb_relative_information_score: 367.0325, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7679, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7557, kappa: 0.4548, kb_relative_information_score: 346.4262, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7683, kappa: 0.4838, kb_relative_information_score: 367.0325, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7339, kappa: 0.4071, kb_relative_information_score: 307.5032, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7324, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7483, kappa: 0.4405, kb_relative_information_score: 330.3991, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7469, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7341, kappa: 0.4063, kb_relative_information_score: 309.7928, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7329, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7571, kappa: 0.4596, kb_relative_information_score: 278.8954, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7571, kappa: 0.4596, kb_relative_information_score: 278.8954, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7167, kappa: 0.3641, kb_relative_information_score: 149.5879, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7171, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 202.9581, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7155, kappa: 0.3679, kb_relative_information_score: 244.4732, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7136, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7462, kappa: 0.4351, kb_relative_information_score: 216.7083, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7449, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.419, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.7481, kappa: 0.4359, kb_relative_information_score: 199.7062, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7486, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7029, kappa: 0.3455, kb_relative_information_score: 240.0327, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7026, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7295, kappa: 0.3985, kb_relative_information_score: 239.5187, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7278, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7076, kappa: 0.3547, kb_relative_information_score: 226.0629, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7069, predictive_accuracy: 0.7083, prior_entropy: 0.9335, recall: 0.7083, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7394, kappa: 0.4143, kb_relative_information_score: 176.9636, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7429, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, 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: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7469, kappa: 0.4334, kb_relative_information_score: 210.1396, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7076, kappa: 0.3547, kb_relative_information_score: 226.0629, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7069, predictive_accuracy: 0.7083, prior_entropy: 0.9335, recall: 0.7083, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7488, kappa: 0.4425, kb_relative_information_score: 222.4852, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7475, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7567, kappa: 0.4623, kb_relative_information_score: 212.8838, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7392, kappa: 0.4206, kb_relative_information_score: 245.6506, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.6971, kappa: 0.3293, kb_relative_information_score: 221.8373, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6955, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7436, kappa: 0.4246, kb_relative_information_score: 184.251, mean_absolute_error: 0.3569, 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: 0.7854, 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: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7032, kappa: 0.3421, kb_relative_information_score: 236.5624, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7015, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 202.9581, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, 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: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.7473, kappa: 0.4344, kb_relative_information_score: 195.512, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.7459, kappa: 0.4303, kb_relative_information_score: 201.8085, mean_absolute_error: 0.345, 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: 0.759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7389, kappa: 0.4195, kb_relative_information_score: 224.2533, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7374, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.7473, kappa: 0.4344, kb_relative_information_score: 195.512, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7398, kappa: 0.4209, kb_relative_information_score: 227.2566, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7383, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7315, kappa: 0.4041, kb_relative_information_score: 240.3408, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.73, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7439, kappa: 0.4263, kb_relative_information_score: 195.9598, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7444, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7315, kappa: 0.4022, kb_relative_information_score: 239.5895, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7299, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7012, kappa: 0.3409, kb_relative_information_score: 223.449, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7006, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7584, kappa: 0.4666, kb_relative_information_score: 234.0633, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7577, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, 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: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, 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: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.6872, kappa: 0.311, kb_relative_information_score: 210.9854, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.687, predictive_accuracy: 0.6875, prior_entropy: 0.9335, recall: 0.6875, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7333, kappa: 0.3993, kb_relative_information_score: 168.1679, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7409, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.6971, kappa: 0.3293, kb_relative_information_score: 221.8373, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6955, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.7073, kappa: 0.3536, kb_relative_information_score: 245.1501, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7064, predictive_accuracy: 0.7083, prior_entropy: 0.9335, recall: 0.7083, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7429, kappa: 0.4255, kb_relative_information_score: 247.967, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7422, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.853,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7436, kappa: 0.4246, kb_relative_information_score: 184.251, mean_absolute_error: 0.3569, 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: 0.7854, 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: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7286, kappa: 0.3971, kb_relative_information_score: 245.7457, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.727, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7161, kappa: 0.3701, kb_relative_information_score: 252.1323, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7144, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7197, kappa: 0.3733, kb_relative_information_score: 146.2737, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7185, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.7108, kappa: 0.3584, kb_relative_information_score: 240.683, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7091, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6918, kappa: 0.3226, kb_relative_information_score: 224.4287, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6922, predictive_accuracy: 0.6914, prior_entropy: 0.9335, recall: 0.6914, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.1294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7394, kappa: 0.4143, kb_relative_information_score: 176.9636, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7429, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 202.9581, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7425, kappa: 0.4221, kb_relative_information_score: 198.2664, mean_absolute_error: 0.3468, 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: 0.7632, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9004,

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

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

OpenML APIs