OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131577 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: 0.7092, f_measure: 0.7545, kappa: 0.4479, kb_relative_information_score: 0.4632, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, 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: 0.6613, f_measure: 0.6942, kappa: 0.3248, kb_relative_information_score: 0.3021, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6933, predictive_accuracy: 0.6953, prior_entropy: 0.9331, recall: 0.6953, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.7454, kappa: 0.4299, kb_relative_information_score: 0.4334, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7458, predictive_accuracy: 0.7526, prior_entropy: 0.9331, recall: 0.7526, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0435,
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: 0.7114, f_measure: 0.7486, kappa: 0.4385, kb_relative_information_score: 0.4363, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7479, predictive_accuracy: 0.7539, prior_entropy: 0.9331, recall: 0.7539, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7399, kappa: 0.4185, kb_relative_information_score: 0.4184, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7393, predictive_accuracy: 0.7461, prior_entropy: 0.9331, 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: 0.6575, f_measure: 0.6913, kappa: 0.3178, kb_relative_information_score: 0.2962, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6901, predictive_accuracy: 0.6927, prior_entropy: 0.9331, recall: 0.6927, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6832, kappa: 0.3018, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6828, predictive_accuracy: 0.6836, prior_entropy: 0.9331, recall: 0.6836, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.7596, kappa: 0.4596, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9331, 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: 0.7148, f_measure: 0.7592, kappa: 0.4586, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7695, prior_entropy: 0.9331, 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: 0.7193, f_measure: 0.7618, kappa: 0.4651, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, 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: 0.7122, f_measure: 0.758, kappa: 0.4555, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7695, prior_entropy: 0.9331, 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: 0.7028, f_measure: 0.7452, kappa: 0.4282, kb_relative_information_score: 0.4363, mean_absolute_error: 0.2461, 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: 0.5415, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.7111, kappa: 0.3617, kb_relative_information_score: 0.3409, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7101, predictive_accuracy: 0.7122, prior_entropy: 0.9331, recall: 0.7122, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.1254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.7506, kappa: 0.4392, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7563, 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: 0.6919, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.3677, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, recall: 0.724, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.1023,
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: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7611, kappa: 0.4631, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, 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: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.6586, kappa: 0.2509, kb_relative_information_score: 0.2156, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6597, predictive_accuracy: 0.6576, prior_entropy: 0.9331, recall: 0.6576, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5852, root_relative_squared_error: 1.2277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.7622, kappa: 0.4661, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7657, 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: 0.7101, f_measure: 0.7549, kappa: 0.4489, kb_relative_information_score: 0.4632, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7606, 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: 0.7052, f_measure: 0.7499, kappa: 0.4377, kb_relative_information_score: 0.4512, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7546, predictive_accuracy: 0.7604, prior_entropy: 0.9331, 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: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7526, kappa: 0.4438, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7575, 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: 0.6293, f_measure: 0.6762, kappa: 0.2732, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6743, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, 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: 0.6521, f_measure: 0.6828, kappa: 0.3032, kb_relative_information_score: 0.2723, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6834, predictive_accuracy: 0.6823, prior_entropy: 0.9331, recall: 0.6823, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5637, root_relative_squared_error: 1.1826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.7588, kappa: 0.4571, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, 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: 0.7194, f_measure: 0.7627, kappa: 0.4666, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7721, prior_entropy: 0.9331, 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: 0.7094, f_measure: 0.7462, kappa: 0.4335, kb_relative_information_score: 0.4304, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7453, predictive_accuracy: 0.7513, prior_entropy: 0.9331, 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: 0.7092, f_measure: 0.7445, kappa: 0.4307, kb_relative_information_score: 0.4244, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7432, predictive_accuracy: 0.7487, prior_entropy: 0.9331, 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: 0.7095, f_measure: 0.7561, kappa: 0.4509, kb_relative_information_score: 0.4691, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7645, predictive_accuracy: 0.7682, prior_entropy: 0.9331, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.7134, kappa: 0.3664, kb_relative_information_score: 0.3469, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7123, predictive_accuracy: 0.7148, prior_entropy: 0.9331, recall: 0.7148, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.534, root_relative_squared_error: 1.1203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.7585, kappa: 0.4589, kb_relative_information_score: 0.4632, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, 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: 0.7183, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9331, 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: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7612, kappa: 0.4627, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, 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: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 0.4691, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9331, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9331, 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: 0.7261, f_measure: 0.7693, kappa: 0.4814, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7748, 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: 0.7211, f_measure: 0.7634, kappa: 0.4686, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, 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: 0.7107, f_measure: 0.7491, kappa: 0.4389, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7489, predictive_accuracy: 0.7552, prior_entropy: 0.9331, recall: 0.7552, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.5158, kappa: 0.0022, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5986, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7482, kappa: 0.4329, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7577, 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: 0.72, f_measure: 0.7614, kappa: 0.4645, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9331, 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: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7654, kappa: 0.4727, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7704, 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: 0.714, f_measure: 0.7543, kappa: 0.4494, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, 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: 0.5243, 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: 0.665, f_measure: 0.6971, kappa: 0.3317, kb_relative_information_score: 0.3081, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6964, predictive_accuracy: 0.6979, prior_entropy: 0.9331, recall: 0.6979, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5496, root_relative_squared_error: 1.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.7557, kappa: 0.4504, kb_relative_information_score: 0.4662, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7624, predictive_accuracy: 0.7669, prior_entropy: 0.9331, 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: 0.6055, f_measure: 0.6418, kappa: 0.2113, kb_relative_information_score: 0.1799, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6416, predictive_accuracy: 0.6419, prior_entropy: 0.9331, recall: 0.6419, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5984, root_relative_squared_error: 1.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.7518, kappa: 0.4417, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7579, 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: 0.721, 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: 0.6257, f_measure: 0.6609, kappa: 0.2523, kb_relative_information_score: 0.2246, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6603, predictive_accuracy: 0.6615, prior_entropy: 0.9331, recall: 0.6615, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.2207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.7463, kappa: 0.4307, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7485, predictive_accuracy: 0.7552, prior_entropy: 0.9331, recall: 0.7552, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7389, kappa: 0.4195, kb_relative_information_score: 0.4095, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7374, predictive_accuracy: 0.7422, prior_entropy: 0.9331, recall: 0.7422, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7654, kappa: 0.4727, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7704, 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: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.7575, kappa: 0.4559, kb_relative_information_score: 0.4632, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, 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: 0.7073, f_measure: 0.753, kappa: 0.4443, kb_relative_information_score: 0.4602, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, 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: 0.6679, f_measure: 0.7054, kappa: 0.3445, kb_relative_information_score: 0.3349, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7033, predictive_accuracy: 0.7096, prior_entropy: 0.9331, recall: 0.7096, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.5243, kappa: 0.0031, kb_relative_information_score: 0.1888, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5551, predictive_accuracy: 0.6458, prior_entropy: 0.9331, recall: 0.6458, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5951, root_relative_squared_error: 1.2486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3428, f_measure: 0.4026, kappa: -0.3142, kb_relative_information_score: -0.3689, mean_absolute_error: 0.5977, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4029, predictive_accuracy: 0.4023, prior_entropy: 0.9331, recall: 0.4023, relative_absolute_error: 1.315, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7731, root_relative_squared_error: 1.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6857, kappa: 0.3101, kb_relative_information_score: 0.2783, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6866, predictive_accuracy: 0.6849, prior_entropy: 0.9331, recall: 0.6849, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.1777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7669, kappa: 0.4763, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7717, 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: 0.6577, f_measure: 0.6871, kappa: 0.3135, kb_relative_information_score: 0.2813, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6881, predictive_accuracy: 0.6862, prior_entropy: 0.9331, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7645, kappa: 0.4712, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, 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: 0.7223, f_measure: 0.7654, kappa: 0.4727, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7704, 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: 0.7171, f_measure: 0.7631, kappa: 0.4669, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7718, 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: 0.6543, f_measure: 0.6917, kappa: 0.3152, kb_relative_information_score: 0.3021, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6896, predictive_accuracy: 0.6953, prior_entropy: 0.9331, recall: 0.6953, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.7478, kappa: 0.4348, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7486, predictive_accuracy: 0.7552, prior_entropy: 0.9331, recall: 0.7552, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.7525, kappa: 0.4443, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, 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: 0.7082, f_measure: 0.7433, kappa: 0.4282, kb_relative_information_score: 0.4214, mean_absolute_error: 0.2526, 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: 0.5558, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.7534, kappa: 0.4453, kb_relative_information_score: 0.4602, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7592, 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: 0.6581, f_measure: 0.6898, kappa: 0.3168, kb_relative_information_score: 0.2902, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6896, predictive_accuracy: 0.6901, prior_entropy: 0.9331, recall: 0.6901, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.7183, kappa: 0.3728, kb_relative_information_score: 0.3648, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7164, predictive_accuracy: 0.7227, prior_entropy: 0.9331, recall: 0.7227, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.1049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.691, kappa: 0.3191, kb_relative_information_score: 0.2932, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6906, predictive_accuracy: 0.6914, prior_entropy: 0.9331, recall: 0.6914, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1655,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3242, f_measure: 0.3873, kappa: -0.3552, kb_relative_information_score: -0.3957, mean_absolute_error: 0.6094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.384, predictive_accuracy: 0.3906, prior_entropy: 0.9331, recall: 0.3906, relative_absolute_error: 1.3408, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7806, root_relative_squared_error: 1.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7693, kappa: 0.4814, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7748, 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: 0.5009, f_measure: 0.5158, kappa: 0.0022, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5986, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4911, f_measure: 0.5342, kappa: -0.0175, kb_relative_information_score: -0.0736, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5376, predictive_accuracy: 0.5313, prior_entropy: 0.9331, recall: 0.5313, relative_absolute_error: 1.0314, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6847, root_relative_squared_error: 1.4364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7366, kappa: 0.4105, kb_relative_information_score: 0.4125, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7362, predictive_accuracy: 0.7435, prior_entropy: 0.9331, recall: 0.7435, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7645, kappa: 0.4712, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, 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: 0.7251, f_measure: 0.7681, kappa: 0.4788, kb_relative_information_score: 0.49, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7733, 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: 0.7221, f_measure: 0.7645, kappa: 0.4712, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, 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: 0.7214, f_measure: 0.765, kappa: 0.4718, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7706, 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: 0.5471, f_measure: 0.5876, kappa: 0.1179, kb_relative_information_score: 0.2663, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7196, predictive_accuracy: 0.6797, prior_entropy: 0.9331, recall: 0.6797, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.566, root_relative_squared_error: 1.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.758, kappa: 0.4551, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, 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: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.7587, kappa: 0.4584, kb_relative_information_score: 0.4662, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9331, 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,

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

OpenML APIs