Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 130219 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: 0.7277, f_measure: 0.7691, kappa: 0.4817, kb_relative_information_score: 0.49, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7728, predictive_accuracy: 0.7773, prior_entropy: 0.9331, recall: 0.7773, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7649, kappa: 0.4721, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7686, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.7591, kappa: 0.4649, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7652, kappa: 0.4731, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.7664, kappa: 0.4756, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7699, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 0.4632, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9331, 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: 0.7296, f_measure: 0.7706, kappa: 0.4852, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7741, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 0.4483, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9331, 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: 0.7267, f_measure: 0.7679, kappa: 0.4791, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7713, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7641, kappa: 0.4705, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9331, 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: 0.7259, f_measure: 0.7676, kappa: 0.4782, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7714, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.7664, kappa: 0.4756, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7699, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7597, kappa: 0.4655, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7668, kappa: 0.4766, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7698, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.7683, kappa: 0.4801, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7712, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7597, kappa: 0.4655, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7668, kappa: 0.4766, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7698, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7649, kappa: 0.4721, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7686, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7668, kappa: 0.4766, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7698, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7641, kappa: 0.4705, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9331, 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: 0.7296, f_measure: 0.7706, kappa: 0.4852, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7741, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.7664, kappa: 0.4756, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7699, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7698, kappa: 0.4836, kb_relative_information_score: 0.49, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7726, predictive_accuracy: 0.7773, prior_entropy: 0.9331, recall: 0.7773, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.77, kappa: 0.4833, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7744, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.7644, kappa: 0.4715, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7669, predictive_accuracy: 0.7721, prior_entropy: 0.9331, 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: 0.7271, f_measure: 0.7597, kappa: 0.4655, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.7612, kappa: 0.4689, kb_relative_information_score: 0.4602, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7643, prior_entropy: 0.9331, recall: 0.7643, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7307, kappa: 0.4027, kb_relative_information_score: 0.3395, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7292, predictive_accuracy: 0.7331, prior_entropy: 0.9331, recall: 0.7331, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 0.3103, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9331, recall: 0.7682, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7557, kappa: 0.4585, kb_relative_information_score: 0.3743, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7546, predictive_accuracy: 0.7578, prior_entropy: 0.9331, recall: 0.7578, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.758, kappa: 0.4583, kb_relative_information_score: 0.3156, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9331, recall: 0.7643, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7318, kappa: 0.4033, kb_relative_information_score: 0.3499, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7302, predictive_accuracy: 0.7357, prior_entropy: 0.9331, recall: 0.7357, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7596, kappa: 0.4668, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7442, kappa: 0.4313, kb_relative_information_score: 0.3772, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7427, predictive_accuracy: 0.7474, prior_entropy: 0.9331, recall: 0.7474, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7467, kappa: 0.4387, kb_relative_information_score: 0.4201, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7454, predictive_accuracy: 0.7487, prior_entropy: 0.9331, recall: 0.7487, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7602, kappa: 0.4674, kb_relative_information_score: 0.3442, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.759, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7414, kappa: 0.427, kb_relative_information_score: 0.4037, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7435, prior_entropy: 0.9331, recall: 0.7435, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7318, kappa: 0.4051, kb_relative_information_score: 0.3598, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7303, predictive_accuracy: 0.7344, prior_entropy: 0.9331, recall: 0.7344, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.5962, kappa: 0.1929, kb_relative_information_score: 0.0515, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6471, predictive_accuracy: 0.5872, prior_entropy: 0.9331, recall: 0.5872, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6093, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.7169, kappa: 0.3734, kb_relative_information_score: 0.3352, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7156, predictive_accuracy: 0.7188, prior_entropy: 0.9331, recall: 0.7188, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7486, kappa: 0.444, kb_relative_information_score: 0.3789, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.75, prior_entropy: 0.9331, recall: 0.75, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7347, kappa: 0.412, kb_relative_information_score: 0.3578, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7333, predictive_accuracy: 0.737, prior_entropy: 0.9331, recall: 0.737, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7474, kappa: 0.4416, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7465, predictive_accuracy: 0.7487, prior_entropy: 0.9331, recall: 0.7487, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7269, kappa: 0.3945, kb_relative_information_score: 0.3616, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7254, predictive_accuracy: 0.7292, prior_entropy: 0.9331, recall: 0.7292, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.7131, kappa: 0.3653, kb_relative_information_score: 0.3395, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7118, predictive_accuracy: 0.7148, prior_entropy: 0.9331, recall: 0.7148, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7569, kappa: 0.461, kb_relative_information_score: 0.3332, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7591, prior_entropy: 0.9331, recall: 0.7591, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7324, kappa: 0.4072, kb_relative_information_score: 0.3948, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.731, predictive_accuracy: 0.7344, prior_entropy: 0.9331, recall: 0.7344, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7304, kappa: 0.4017, kb_relative_information_score: 0.3505, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7288, predictive_accuracy: 0.7331, prior_entropy: 0.9331, recall: 0.7331, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7163, kappa: 0.3733, kb_relative_information_score: 0.3093, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7153, predictive_accuracy: 0.7174, prior_entropy: 0.9331, recall: 0.7174, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7271, kappa: 0.3956, kb_relative_information_score: 0.365, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7258, predictive_accuracy: 0.7292, prior_entropy: 0.9331, recall: 0.7292, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7359, kappa: 0.4144, kb_relative_information_score: 0.3699, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7345, predictive_accuracy: 0.7383, prior_entropy: 0.9331, recall: 0.7383, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, kb_relative_information_score: 0.0246, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7562, kappa: 0.4604, kb_relative_information_score: 0.3638, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7552, predictive_accuracy: 0.7578, prior_entropy: 0.9331, recall: 0.7578, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7452, kappa: 0.4282, kb_relative_information_score: 0.2486, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.747, predictive_accuracy: 0.7539, prior_entropy: 0.9331, recall: 0.7539, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.726, kappa: 0.3913, kb_relative_information_score: 0.3936, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7243, predictive_accuracy: 0.7292, prior_entropy: 0.9331, recall: 0.7292, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7392, kappa: 0.4206, kb_relative_information_score: 0.3482, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7422, prior_entropy: 0.9331, recall: 0.7422, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7201, kappa: 0.3774, kb_relative_information_score: 0.2363, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7183, predictive_accuracy: 0.724, prior_entropy: 0.9331, recall: 0.724, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7321, kappa: 0.4061, kb_relative_information_score: 0.3406, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7307, predictive_accuracy: 0.7344, prior_entropy: 0.9331, recall: 0.7344, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7541, kappa: 0.4542, kb_relative_information_score: 0.3533, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7565, prior_entropy: 0.9331, recall: 0.7565, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7379, kappa: 0.4198, kb_relative_information_score: 0.406, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7367, predictive_accuracy: 0.7396, prior_entropy: 0.9331, recall: 0.7396, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7486, kappa: 0.444, kb_relative_information_score: 0.4081, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.75, prior_entropy: 0.9331, recall: 0.75, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7477, kappa: 0.4426, kb_relative_information_score: 0.3591, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7469, predictive_accuracy: 0.7487, prior_entropy: 0.9331, recall: 0.7487, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7104, kappa: 0.3616, kb_relative_information_score: 0.3163, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.71, predictive_accuracy: 0.7109, prior_entropy: 0.9331, recall: 0.7109, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4922, root_relative_squared_error: 1.0326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7415, kappa: 0.4254, kb_relative_information_score: 0.376, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.74, predictive_accuracy: 0.7448, prior_entropy: 0.9331, recall: 0.7448, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7322, kappa: 0.409, kb_relative_information_score: 0.3726, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7315, predictive_accuracy: 0.7331, prior_entropy: 0.9331, recall: 0.7331, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4829, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7469, kappa: 0.4396, kb_relative_information_score: 0.3608, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7458, predictive_accuracy: 0.7487, prior_entropy: 0.9331, recall: 0.7487, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.753, kappa: 0.4503, kb_relative_information_score: 0.3268, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7517, predictive_accuracy: 0.7565, prior_entropy: 0.9331, recall: 0.7565, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7008, kappa: 0.3351, kb_relative_information_score: 0.234, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6987, predictive_accuracy: 0.7044, prior_entropy: 0.9331, recall: 0.7044, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7397, kappa: 0.4226, kb_relative_information_score: 0.3482, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7383, predictive_accuracy: 0.7422, prior_entropy: 0.9331, recall: 0.7422, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7309, kappa: 0.4038, kb_relative_information_score: 0.3478, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7295, predictive_accuracy: 0.7331, prior_entropy: 0.9331, recall: 0.7331, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.755, kappa: 0.4514, kb_relative_information_score: 0.3055, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.7089, 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: 0.8293, f_measure: 0.7615, kappa: 0.4685, kb_relative_information_score: 0.341, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7607, predictive_accuracy: 0.7656, prior_entropy: 0.9331, recall: 0.7656, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7327, kappa: 0.4046, kb_relative_information_score: 0.3831, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7311, predictive_accuracy: 0.737, prior_entropy: 0.9331, recall: 0.737, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7266, kappa: 0.3934, kb_relative_information_score: 0.3509, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.725, predictive_accuracy: 0.7292, prior_entropy: 0.9331, recall: 0.7292, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7262, kappa: 0.3943, kb_relative_information_score: 0.3499, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.725, predictive_accuracy: 0.7279, prior_entropy: 0.9331, recall: 0.7279, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7527, kappa: 0.4493, kb_relative_information_score: 0.3402, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7515, predictive_accuracy: 0.7565, prior_entropy: 0.9331, recall: 0.7565, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.76, kappa: 0.4687, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.759, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7433, kappa: 0.4282, kb_relative_information_score: 0.3526, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7419, predictive_accuracy: 0.7474, prior_entropy: 0.9331, recall: 0.7474, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7498, kappa: 0.4464, kb_relative_information_score: 0.4257, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.7513, prior_entropy: 0.9331, recall: 0.7513, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7391, kappa: 0.4222, kb_relative_information_score: 0.4051, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7378, predictive_accuracy: 0.7409, prior_entropy: 0.9331, recall: 0.7409, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7469, kappa: 0.4396, kb_relative_information_score: 0.4158, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7458, predictive_accuracy: 0.7487, prior_entropy: 0.9331, recall: 0.7487, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7553, kappa: 0.4552, kb_relative_information_score: 0.3123, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7591, prior_entropy: 0.9331, recall: 0.7591, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7412, kappa: 0.426, kb_relative_information_score: 0.3467, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7398, predictive_accuracy: 0.7435, prior_entropy: 0.9331, recall: 0.7435, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.76, kappa: 0.4687, kb_relative_information_score: 0.355, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.759, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7618, kappa: 0.4695, kb_relative_information_score: 0.3185, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7609, predictive_accuracy: 0.7656, prior_entropy: 0.9331, recall: 0.7656, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7534, kappa: 0.456, kb_relative_information_score: 0.3856, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7529, predictive_accuracy: 0.7539, prior_entropy: 0.9331, recall: 0.7539, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7604, kappa: 0.4647, kb_relative_information_score: 0.3029, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7601, predictive_accuracy: 0.7656, prior_entropy: 0.9331, recall: 0.7656, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.75, kappa: 0.445, kb_relative_information_score: 0.3389, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7486, predictive_accuracy: 0.7526, prior_entropy: 0.9331, recall: 0.7526, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6973, kappa: 0.3485, kb_relative_information_score: 0.2895, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7064, predictive_accuracy: 0.6927, prior_entropy: 0.9331, recall: 0.6927, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7434, kappa: 0.4324, kb_relative_information_score: 0.3923, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7424, predictive_accuracy: 0.7448, prior_entropy: 0.9331, recall: 0.7448, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7438, kappa: 0.4318, kb_relative_information_score: 0.3963, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7425, predictive_accuracy: 0.7461, prior_entropy: 0.9331, recall: 0.7461, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7262, kappa: 0.3943, kb_relative_information_score: 0.376, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.725, predictive_accuracy: 0.7279, prior_entropy: 0.9331, recall: 0.7279, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7498, kappa: 0.4464, kb_relative_information_score: 0.4298, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.7513, prior_entropy: 0.9331, recall: 0.7513, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7496, kappa: 0.4455, kb_relative_information_score: 0.4182, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7513, prior_entropy: 0.9331, recall: 0.7513, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7543, kappa: 0.4552, kb_relative_information_score: 0.3379, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7531, predictive_accuracy: 0.7565, prior_entropy: 0.9331, recall: 0.7565, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8561,

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

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Download this task directly in your environment and automatically upload your results

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

OpenML APIs