OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7542, kappa: 0.5045, kb_relative_information_score: 0.5038, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7541, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7558, kappa: 0.5078, kb_relative_information_score: 0.5071, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7521, kappa: 0.5001, kb_relative_information_score: 0.4995, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7424, kappa: 0.483, kb_relative_information_score: 0.4914, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7574, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7455, kappa: 0.4891, kb_relative_information_score: 0.4974, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7603, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.74, kappa: 0.4784, kb_relative_information_score: 0.4871, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7556, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7531, kappa: 0.5022, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7569, kappa: 0.5099, kb_relative_information_score: 0.5092, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7525, kappa: 0.5011, kb_relative_information_score: 0.5006, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7561, kappa: 0.5082, kb_relative_information_score: 0.5076, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7564, kappa: 0.5089, kb_relative_information_score: 0.5081, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7555, kappa: 0.5071, kb_relative_information_score: 0.5065, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7515, kappa: 0.4991, kb_relative_information_score: 0.4984, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7514, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7545, kappa: 0.505, kb_relative_information_score: 0.5044, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7542, kappa: 0.5045, kb_relative_information_score: 0.5038, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7541, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7437, kappa: 0.4857, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7416, kappa: 0.4814, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7421, kappa: 0.4824, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7436, kappa: 0.4853, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7556, kappa: 0.5072, kb_relative_information_score: 0.5065, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7555, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7433, kappa: 0.4847, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7558, kappa: 0.5076, kb_relative_information_score: 0.5071, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7566, kappa: 0.5093, kb_relative_information_score: 0.5087, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7408, kappa: 0.4803, kb_relative_information_score: 0.4893, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7553, kappa: 0.5069, kb_relative_information_score: 0.506, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7553, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7561, kappa: 0.5082, kb_relative_information_score: 0.5076, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7552, kappa: 0.5065, kb_relative_information_score: 0.506, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7432, kappa: 0.4847, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7433, kappa: 0.4847, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7435, kappa: 0.485, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7574, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7441, kappa: 0.4864, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7449, kappa: 0.488, kb_relative_information_score: 0.4963, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.743, kappa: 0.4841, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7437, kappa: 0.4854, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.7424, kappa: 0.4831, kb_relative_information_score: 0.4914, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7572, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7565, kappa: 0.5091, kb_relative_information_score: 0.5087, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7448, kappa: 0.4876, kb_relative_information_score: 0.4958, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7439, kappa: 0.4859, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7423, kappa: 0.4826, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7441, kappa: 0.4863, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7448, kappa: 0.4877, kb_relative_information_score: 0.4958, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7456, kappa: 0.489, kb_relative_information_score: 0.4968, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.751, prior_entropy: 0.9948, recall: 0.751, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7548, kappa: 0.5056, kb_relative_information_score: 0.5049, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7547, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.797, kappa: 0.5907, kb_relative_information_score: 0.4998, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7971, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7436, kappa: 0.4853, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 0.4996, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7422, kappa: 0.4825, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7996, kappa: 0.5958, kb_relative_information_score: 0.5955, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7434, kappa: 0.4848, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7429, kappa: 0.4841, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7417, kappa: 0.4817, kb_relative_information_score: 0.4904, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7572, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.7431, kappa: 0.4843, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7574, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7903, kappa: 0.5772, kb_relative_information_score: 0.5625, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7902, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8, kappa: 0.5967, kb_relative_information_score: 0.5761, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.743, kappa: 0.4842, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7894, kappa: 0.5752, kb_relative_information_score: 0.4326, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.744, kappa: 0.4863, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7993, kappa: 0.5953, kb_relative_information_score: 0.5728, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7553, kappa: 0.5066, kb_relative_information_score: 0.506, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7442, kappa: 0.4864, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8074, kappa: 0.6116, kb_relative_information_score: 0.4921, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.805, kappa: 0.6066, kb_relative_information_score: 0.5002, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7724, kappa: 0.5407, kb_relative_information_score: 0.3291, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7729, predictive_accuracy: 0.7731, prior_entropy: 0.9948, recall: 0.7731, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7427, kappa: 0.4833, kb_relative_information_score: 0.4914, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.7976, kappa: 0.5919, kb_relative_information_score: 0.5539, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7436, kappa: 0.4853, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8061, kappa: 0.6089, kb_relative_information_score: 0.5446, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7571, kappa: 0.5102, kb_relative_information_score: 0.5098, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7574, prior_entropy: 0.9948, recall: 0.7574, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.7431, kappa: 0.4845, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.7545, kappa: 0.5052, kb_relative_information_score: 0.5044, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7561, kappa: 0.5082, kb_relative_information_score: 0.5076, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7422, kappa: 0.4828, kb_relative_information_score: 0.4914, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7423, kappa: 0.4829, kb_relative_information_score: 0.4914, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7433, kappa: 0.4847, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7439, kappa: 0.4859, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7432, kappa: 0.4843, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7558, kappa: 0.5077, kb_relative_information_score: 0.5071, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7441, kappa: 0.4861, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.7411, kappa: 0.4803, kb_relative_information_score: 0.4888, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.744, kappa: 0.486, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7452, kappa: 0.4883, kb_relative_information_score: 0.4963, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.7428, kappa: 0.484, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7437, kappa: 0.4854, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7427, kappa: 0.4836, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7574, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7446, kappa: 0.4874, kb_relative_information_score: 0.4958, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7595, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.7426, kappa: 0.4838, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7419, kappa: 0.4822, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7421, kappa: 0.4824, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7566, kappa: 0.5094, kb_relative_information_score: 0.5087, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.7405, kappa: 0.4794, kb_relative_information_score: 0.4882, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7534, kappa: 0.5028, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.7415, kappa: 0.4815, kb_relative_information_score: 0.4904, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7429, kappa: 0.4838, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.752, kappa: 0.5, kb_relative_information_score: 0.1468, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8015, kappa: 0.5997, kb_relative_information_score: 0.487, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7742, kappa: 0.5443, kb_relative_information_score: 0.3269, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7754, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.805, kappa: 0.6066, kb_relative_information_score: 0.5896, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7955, kappa: 0.5875, kb_relative_information_score: 0.4445, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7959, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7519, kappa: 0.4998, kb_relative_information_score: 0.4294, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8003, kappa: 0.5972, kb_relative_information_score: 0.563, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8003, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7917,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs