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: 0.7522, 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: 0.7379, 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: 0.7377, 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: 0.7385, 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: 0.7374, 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: 0.7393, 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: 0.7524, 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: 0.74, 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: 0.7392, 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: 0.7385, 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: 0.749, 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: 0.7518, 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: 0.7521, 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: 0.7545, 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: 0.7506, 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: 0.7398, 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: 0.7368, 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: 0.7496, 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: 0.7344, 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: 0.7399, 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: 0.7602, 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: 0.7507, f_measure: 0.7531, kappa: 0.5023, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, 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: 0.7382, f_measure: 0.7438, kappa: 0.4855, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, 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: 0.7339, f_measure: 0.7394, kappa: 0.4772, kb_relative_information_score: 0.4861, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7403, kappa: 0.479, kb_relative_information_score: 0.4877, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0107,
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: 0.7377, f_measure: 0.7433, 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: 0.7579, 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: 0.7382, f_measure: 0.7438, kappa: 0.4858, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, 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: 0.7515, f_measure: 0.7541, kappa: 0.5043, 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: 0.7502, f_measure: 0.7526, kappa: 0.5013, 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: 0.7514, f_measure: 0.7539, kappa: 0.5038, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
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: 0.738, 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: 0.8708, 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: 0.7383, 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: 0.7392, 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: 0.7381, 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: 0.7367, 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: 0.7369, 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: 0.7365, 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: 0.7361, 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: 0.7381, 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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1838.2372, usercpu_time_millis: 152.053, usercpu_time_millis_testing: 151.243, usercpu_time_millis_training: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1800.9635, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181, scimark_benchmark: 1839.7911, usercpu_time_millis: 85.848, usercpu_time_millis_testing: 85.081, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7664, kappa: 0.5289, kb_relative_information_score: 1583.1699, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8176, scimark_benchmark: 1842.7105, usercpu_time_millis: 157.651, usercpu_time_millis_testing: 156.881, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1853.9121, usercpu_time_millis: 202.739, usercpu_time_millis_testing: 201.993, usercpu_time_millis_training: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7685, kappa: 0.5329, kb_relative_information_score: 1507.9174, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1074.3183, usercpu_time_millis: 224.067, usercpu_time_millis_testing: 222.49, usercpu_time_millis_training: 1.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1082.3212, usercpu_time_millis: 241.028, usercpu_time_millis_testing: 239.519, usercpu_time_millis_training: 1.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1424.4993, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1831.0823, usercpu_time_millis: 110.92, usercpu_time_millis_testing: 110.117, usercpu_time_millis_training: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.8619, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1844.7928, usercpu_time_millis: 138.42, usercpu_time_millis_testing: 137.625, usercpu_time_millis_training: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1847.2191, usercpu_time_millis: 160.911, usercpu_time_millis_testing: 160.064, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1632.2084, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1849.7595, usercpu_time_millis: 186.967, usercpu_time_millis_testing: 186.269, usercpu_time_millis_training: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1076.4111, usercpu_time_millis: 215.79, usercpu_time_millis_testing: 214.177, usercpu_time_millis_training: 1.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1521.9462, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1854.4431, usercpu_time_millis: 187.755, usercpu_time_millis_testing: 187.056, usercpu_time_millis_training: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1481.7546, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1090.277, usercpu_time_millis: 229.155, usercpu_time_millis_testing: 227.56, usercpu_time_millis_training: 1.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1853.5297, usercpu_time_millis: 197.365, usercpu_time_millis_testing: 196.62, usercpu_time_millis_training: 0.745,

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

OpenML bootcamp

From your own software

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

OpenML APIs