OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125968 Supervised Classification SpeedDating 1170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, average_cost: 0.7102, f_measure: 0.3975, kappa: 0.0981, kb_relative_information_score: -14732.9385, mean_absolute_error: 0.6225, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3775, prior_entropy: 0.6457, recall: 0.3775, relative_absolute_error: 2.2617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.789, root_relative_squared_error: 2.127, total_cost: 5950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, average_cost: 0.7041, f_measure: 0.3977, kappa: 0.0985, kb_relative_information_score: -14724.0761, mean_absolute_error: 0.6222, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3778, prior_entropy: 0.6457, recall: 0.3778, relative_absolute_error: 2.2608, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7888, root_relative_squared_error: 2.1266, total_cost: 5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, average_cost: 0.7557, f_measure: 0.2447, kappa: 0.046, kb_relative_information_score: -18592.4801, mean_absolute_error: 0.7264, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8611, predictive_accuracy: 0.2736, prior_entropy: 0.6457, recall: 0.2736, relative_absolute_error: 2.6394, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8523, root_relative_squared_error: 2.2978, total_cost: 6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, average_cost: 5.7794, f_measure: 0.8362, kappa: 0.3446, kb_relative_information_score: 1141.2274, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.8587, prior_entropy: 0.6457, recall: 0.8587, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8621, total_cost: 48420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, average_cost: 0.7109, f_measure: 0.3966, kappa: 0.0977, kb_relative_information_score: -14759.5254, mean_absolute_error: 0.6232, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3768, prior_entropy: 0.6457, recall: 0.3768, relative_absolute_error: 2.2643, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7894, root_relative_squared_error: 2.1282, total_cost: 5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, average_cost: 1.4181, f_measure: 0.7225, kappa: 0.3055, kb_relative_information_score: -3451.2012, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8554, predictive_accuracy: 0.6814, prior_entropy: 0.6457, recall: 0.6814, relative_absolute_error: 1.1575, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.5217, total_cost: 11881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, average_cost: 0.7043, f_measure: 0.3974, kappa: 0.0983, kb_relative_information_score: -14732.9385, mean_absolute_error: 0.6225, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3775, prior_entropy: 0.6457, recall: 0.3775, relative_absolute_error: 2.2617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.789, root_relative_squared_error: 2.127, total_cost: 5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, average_cost: 0.7529, f_measure: 0.2395, kappa: 0.0448, kb_relative_information_score: -18707.6903, mean_absolute_error: 0.7295, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.2705, prior_entropy: 0.6457, recall: 0.2705, relative_absolute_error: 2.6507, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8541, root_relative_squared_error: 2.3027, total_cost: 6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, average_cost: 1.0944, f_measure: 0.525, kappa: 0.1441, kb_relative_information_score: -16912.5081, mean_absolute_error: 0.614, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.4788, prior_entropy: 0.6457, recall: 0.4788, relative_absolute_error: 2.231, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6752, root_relative_squared_error: 1.8203, total_cost: 9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, average_cost: 0.7043, f_measure: 0.3974, kappa: 0.0983, kb_relative_information_score: -14732.9385, mean_absolute_error: 0.6225, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3775, prior_entropy: 0.6457, recall: 0.3775, relative_absolute_error: 2.2617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.789, root_relative_squared_error: 2.127, total_cost: 5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, average_cost: 4.6864, f_measure: 0.8585, kappa: 0.4521, kb_relative_information_score: 1953.2636, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8564, predictive_accuracy: 0.8697, prior_entropy: 0.6457, recall: 0.8697, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8276, total_cost: 39263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, average_cost: 1.153, f_measure: 0.7242, kappa: 0.3185, kb_relative_information_score: -8231.1111, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8639, predictive_accuracy: 0.6833, prior_entropy: 0.6457, recall: 0.6833, relative_absolute_error: 1.4361, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4489, root_relative_squared_error: 1.2103, total_cost: 9660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.716, f_measure: 0.3976, kappa: 0.0979, kb_relative_information_score: -14732.9385, mean_absolute_error: 0.6225, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3775, prior_entropy: 0.6457, recall: 0.3775, relative_absolute_error: 2.2617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.789, root_relative_squared_error: 2.127, total_cost: 5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, average_cost: 0.7539, f_measure: 0.2476, kappa: 0.0469, kb_relative_information_score: -18526.0127, mean_absolute_error: 0.7246, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.2754, prior_entropy: 0.6457, recall: 0.2754, relative_absolute_error: 2.6329, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8513, root_relative_squared_error: 2.295, total_cost: 6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, average_cost: 0.7109, f_measure: 0.3966, kappa: 0.0977, kb_relative_information_score: -14759.5254, mean_absolute_error: 0.6232, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3768, prior_entropy: 0.6457, recall: 0.3768, relative_absolute_error: 2.2643, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7894, root_relative_squared_error: 2.1282, total_cost: 5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, average_cost: 1.4999, f_measure: 0.7022, kappa: 0.2768, kb_relative_information_score: -8615.5935, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8494, predictive_accuracy: 0.6582, prior_entropy: 0.6457, recall: 0.6582, relative_absolute_error: 1.4731, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.2666, total_cost: 12566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7215, f_measure: 0.3981, kappa: 0.0979, kb_relative_information_score: -14719.645, mean_absolute_error: 0.6221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8617, predictive_accuracy: 0.3779, prior_entropy: 0.6457, recall: 0.3779, relative_absolute_error: 2.2604, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7887, root_relative_squared_error: 2.1264, total_cost: 6045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, average_cost: 0.7557, f_measure: 0.2447, kappa: 0.046, kb_relative_information_score: -18592.4801, mean_absolute_error: 0.7264, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8611, predictive_accuracy: 0.2736, prior_entropy: 0.6457, recall: 0.2736, relative_absolute_error: 2.6394, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8523, root_relative_squared_error: 2.2978, total_cost: 6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, average_cost: 0.7043, f_measure: 0.3974, kappa: 0.0983, kb_relative_information_score: -14732.9385, mean_absolute_error: 0.6225, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3775, prior_entropy: 0.6457, recall: 0.3775, relative_absolute_error: 2.2617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.789, root_relative_squared_error: 2.127, total_cost: 5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, average_cost: 0.9622, f_measure: 0.5659, kappa: 0.176, kb_relative_information_score: -12376.7345, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.854, predictive_accuracy: 0.5174, prior_entropy: 0.6457, recall: 0.5174, relative_absolute_error: 1.7852, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.5012, total_cost: 8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, average_cost: 0.7098, f_measure: 0.398, kappa: 0.0983, kb_relative_information_score: -14719.645, mean_absolute_error: 0.6221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3779, prior_entropy: 0.6457, recall: 0.3779, relative_absolute_error: 2.2604, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7887, root_relative_squared_error: 2.1264, total_cost: 5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, average_cost: 1.3348, f_measure: 0.6168, kappa: 0.1985, kb_relative_information_score: -11332.4484, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8431, predictive_accuracy: 0.5659, prior_entropy: 0.6457, recall: 0.5659, relative_absolute_error: 1.6918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.529, root_relative_squared_error: 1.4261, total_cost: 11183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, average_cost: 0.7098, f_measure: 0.398, kappa: 0.0983, kb_relative_information_score: -14719.645, mean_absolute_error: 0.6221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3779, prior_entropy: 0.6457, recall: 0.3779, relative_absolute_error: 2.2604, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7887, root_relative_squared_error: 2.1264, total_cost: 5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, average_cost: 0.831, f_measure: 0.1021, kappa: 0.0104, kb_relative_information_score: -19475.0467, mean_absolute_error: 0.6968, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8492, predictive_accuracy: 0.1924, prior_entropy: 0.6457, recall: 0.1924, relative_absolute_error: 2.5317, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7614, root_relative_squared_error: 2.0527, total_cost: 6962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7269, f_measure: 0.3989, kappa: 0.098, kb_relative_information_score: -14701.9203, mean_absolute_error: 0.6216, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.3784, prior_entropy: 0.6457, recall: 0.3784, relative_absolute_error: 2.2586, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7884, root_relative_squared_error: 2.1256, total_cost: 6090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7269, f_measure: 0.3989, kappa: 0.098, kb_relative_information_score: -14701.9203, mean_absolute_error: 0.6216, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.3784, prior_entropy: 0.6457, recall: 0.3784, relative_absolute_error: 2.2586, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7884, root_relative_squared_error: 2.1256, total_cost: 6090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, average_cost: 6.4686, f_measure: 0.8165, kappa: 0.2555, kb_relative_information_score: 482.3177, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8209, predictive_accuracy: 0.8479, prior_entropy: 0.6457, recall: 0.8479, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.334, root_relative_squared_error: 0.9004, total_cost: 54194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, average_cost: 0.7187, f_measure: 0.362, kappa: 0.0842, kb_relative_information_score: -15698.9317, mean_absolute_error: 0.6485, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3515, prior_entropy: 0.6457, recall: 0.3515, relative_absolute_error: 2.3562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8053, root_relative_squared_error: 2.171, total_cost: 6021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, average_cost: 0.9298, f_measure: 0.5566, kappa: 0.1711, kb_relative_information_score: -12153.2165, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8548, predictive_accuracy: 0.5088, prior_entropy: 0.6457, recall: 0.5088, relative_absolute_error: 1.8381, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.6502, total_cost: 7790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, average_cost: 0.8496, f_measure: 0.3275, kappa: 0.0668, kb_relative_information_score: -16623.452, mean_absolute_error: 0.6025, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8494, predictive_accuracy: 0.3259, prior_entropy: 0.6457, recall: 0.3259, relative_absolute_error: 2.189, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6684, root_relative_squared_error: 1.802, total_cost: 7118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, average_cost: 2.5843, f_measure: 0.8001, kappa: 0.3832, kb_relative_information_score: -1733.0495, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8448, predictive_accuracy: 0.7786, prior_entropy: 0.6457, recall: 0.7786, relative_absolute_error: 1.0789, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3933, root_relative_squared_error: 1.0603, total_cost: 21651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -22472.1244, mean_absolute_error: 0.8272, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.0271, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 3.0054, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9051, root_relative_squared_error: 2.4402, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, average_cost: 1.3348, f_measure: 0.6168, kappa: 0.1985, kb_relative_information_score: -11332.4484, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8431, predictive_accuracy: 0.5659, prior_entropy: 0.6457, recall: 0.5659, relative_absolute_error: 1.6918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.529, root_relative_squared_error: 1.4261, total_cost: 11183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, average_cost: 0.835, f_measure: 0.0471, kappa: 0.0001, kb_relative_information_score: -21963.4011, mean_absolute_error: 0.8025, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8624, predictive_accuracy: 0.165, prior_entropy: 0.6457, recall: 0.165, relative_absolute_error: 2.9157, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8785, root_relative_squared_error: 2.3683, total_cost: 6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, average_cost: 0.8337, f_measure: 0.0497, kappa: 0.0006, kb_relative_information_score: -21458.7826, mean_absolute_error: 0.7794, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8625, predictive_accuracy: 0.1663, prior_entropy: 0.6457, recall: 0.1663, relative_absolute_error: 2.8318, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8534, root_relative_squared_error: 2.3008, total_cost: 6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, average_cost: 0.8261, f_measure: 0.0651, kappa: 0.0037, kb_relative_information_score: -20678.7813, mean_absolute_error: 0.7456, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.1739, prior_entropy: 0.6457, recall: 0.1739, relative_absolute_error: 2.7092, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8179, root_relative_squared_error: 2.205, total_cost: 6921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, average_cost: 0.8384, f_measure: 0.1545, kappa: 0.0209, kb_relative_information_score: -19142.4211, mean_absolute_error: 0.6865, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8466, predictive_accuracy: 0.2201, prior_entropy: 0.6457, recall: 0.2201, relative_absolute_error: 2.4943, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7554, root_relative_squared_error: 2.0364, total_cost: 7024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, average_cost: 0.8346, f_measure: 0.0601, kappa: 0.0024, kb_relative_information_score: -20976.1863, mean_absolute_error: 0.7583, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8479, predictive_accuracy: 0.1713, prior_entropy: 0.6457, recall: 0.1713, relative_absolute_error: 2.7553, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8318, root_relative_squared_error: 2.2425, total_cost: 6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -22082.1523, mean_absolute_error: 0.8081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.0271, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 2.9362, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8843, root_relative_squared_error: 2.3841, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, average_cost: 2.5843, f_measure: 0.8001, kappa: 0.3832, kb_relative_information_score: -1733.0495, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8448, predictive_accuracy: 0.7786, prior_entropy: 0.6457, recall: 0.7786, relative_absolute_error: 1.0789, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3933, root_relative_squared_error: 1.0603, total_cost: 21651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, average_cost: 0.8176, f_measure: 0.0819, kappa: 0.0071, kb_relative_information_score: -20275.542, mean_absolute_error: 0.7291, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8629, predictive_accuracy: 0.1824, prior_entropy: 0.6457, recall: 0.1824, relative_absolute_error: 2.649, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8002, root_relative_squared_error: 2.1573, total_cost: 6850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, average_cost: 0.7185, f_measure: 0.3621, kappa: 0.0843, kb_relative_information_score: -15694.5005, mean_absolute_error: 0.6484, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3516, prior_entropy: 0.6457, recall: 0.3516, relative_absolute_error: 2.3558, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8052, root_relative_squared_error: 2.1708, total_cost: 6020,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, average_cost: 0.7128, f_measure: 0.3619, kappa: 0.0844, kb_relative_information_score: -15698.9317, mean_absolute_error: 0.6485, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3515, prior_entropy: 0.6457, recall: 0.3515, relative_absolute_error: 2.3562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8053, root_relative_squared_error: 2.171, total_cost: 5972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, average_cost: 0.7131, f_measure: 0.3615, kappa: 0.0843, kb_relative_information_score: -15707.794, mean_absolute_error: 0.6487, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3513, prior_entropy: 0.6457, recall: 0.3513, relative_absolute_error: 2.3571, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8054, root_relative_squared_error: 2.1714, total_cost: 5974,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, average_cost: 0.7188, f_measure: 0.3618, kappa: 0.0841, kb_relative_information_score: -15703.3628, mean_absolute_error: 0.6486, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3514, prior_entropy: 0.6457, recall: 0.3514, relative_absolute_error: 2.3566, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8054, root_relative_squared_error: 2.1712, total_cost: 6022,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, average_cost: 0.7226, f_measure: 0.3647, kappa: 0.085, kb_relative_information_score: -15628.0331, mean_absolute_error: 0.6466, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.3534, prior_entropy: 0.6457, recall: 0.3534, relative_absolute_error: 2.3493, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8041, root_relative_squared_error: 2.1678, total_cost: 6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, average_cost: 0.7314, f_measure: 0.344, kappa: 0.0773, kb_relative_information_score: -16173.066, mean_absolute_error: 0.6613, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8612, predictive_accuracy: 0.3387, prior_entropy: 0.6457, recall: 0.3387, relative_absolute_error: 2.4026, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8132, root_relative_squared_error: 2.1923, total_cost: 6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7178, f_measure: 0.3631, kappa: 0.0846, kb_relative_information_score: -15667.9135, mean_absolute_error: 0.6476, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3524, prior_entropy: 0.6457, recall: 0.3524, relative_absolute_error: 2.3532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8048, root_relative_squared_error: 2.1696, total_cost: 6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5204, average_cost: 0.8119, f_measure: 0.1158, kappa: 0.0139, kb_relative_information_score: -21330.938, mean_absolute_error: 0.8002, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8578, predictive_accuracy: 0.1998, prior_entropy: 0.6457, recall: 0.1998, relative_absolute_error: 2.9074, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8945, root_relative_squared_error: 2.4116, total_cost: 6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7178, f_measure: 0.3631, kappa: 0.0846, kb_relative_information_score: -15667.9135, mean_absolute_error: 0.6476, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3524, prior_entropy: 0.6457, recall: 0.3524, relative_absolute_error: 2.3532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8048, root_relative_squared_error: 2.1696, total_cost: 6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, average_cost: 2.3723, f_measure: 0.7691, kappa: 0.335, kb_relative_information_score: -6214.5737, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.7391, prior_entropy: 0.6457, recall: 0.7391, relative_absolute_error: 1.2929, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.1441, total_cost: 19875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, average_cost: 5.0609, f_measure: 0.8496, kappa: 0.4119, kb_relative_information_score: -20.5342, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8478, predictive_accuracy: 0.8637, prior_entropy: 0.6457, recall: 0.8637, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8625, total_cost: 42400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, average_cost: 0.7717, f_measure: 0.4326, kappa: 0.1104, kb_relative_information_score: -14518.8005, mean_absolute_error: 0.5727, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8583, predictive_accuracy: 0.4038, prior_entropy: 0.6457, recall: 0.4038, relative_absolute_error: 2.081, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6765, root_relative_squared_error: 1.8239, total_cost: 6465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, average_cost: 0.7973, f_measure: 0.3677, kappa: 0.083, kb_relative_information_score: -15579.2903, mean_absolute_error: 0.6453, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8552, predictive_accuracy: 0.3547, prior_entropy: 0.6457, recall: 0.3547, relative_absolute_error: 2.3445, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8033, root_relative_squared_error: 2.1656, total_cost: 6680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, average_cost: 4.0308, f_measure: 0.8506, kappa: 0.4497, kb_relative_information_score: 2907.5155, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8488, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.0347, total_cost: 33770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, average_cost: 0.7669, f_measure: 0.5023, kappa: 0.1451, kb_relative_information_score: -13773.391, mean_absolute_error: 0.5133, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8605, predictive_accuracy: 0.4612, prior_entropy: 0.6457, recall: 0.4612, relative_absolute_error: 1.8652, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.564, root_relative_squared_error: 1.5204, total_cost: 6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, average_cost: 6.1404, f_measure: 0.8272, kappa: 0.3027, kb_relative_information_score: 1190.7595, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8324, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8706, total_cost: 51444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, average_cost: 0.8479, f_measure: 0.6105, kappa: 0.2141, kb_relative_information_score: -11498.8596, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8623, predictive_accuracy: 0.5615, prior_entropy: 0.6457, recall: 0.5615, relative_absolute_error: 1.6836, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.3955, total_cost: 7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, average_cost: 6.9609, f_measure: 0.8096, kappa: 0.2145, kb_relative_information_score: 927.1389, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8402, predictive_accuracy: 0.8528, prior_entropy: 0.6457, recall: 0.8528, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8638, total_cost: 58318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, average_cost: 6.2867, f_measure: 0.829, kappa: 0.3034, kb_relative_information_score: 1038.5164, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.8542, total_cost: 52670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, average_cost: 4.5973, f_measure: 0.8558, kappa: 0.4463, kb_relative_information_score: 3016.9102, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8525, predictive_accuracy: 0.8652, prior_entropy: 0.6457, recall: 0.8652, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.885, total_cost: 38516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, average_cost: 0.718, f_measure: 0.3951, kappa: 0.0968, kb_relative_information_score: -15031.0758, mean_absolute_error: 0.5766, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.3756, prior_entropy: 0.6457, recall: 0.3756, relative_absolute_error: 2.0949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6679, root_relative_squared_error: 1.8007, total_cost: 6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, average_cost: 0.7606, f_measure: 0.2172, kappa: 0.0387, kb_relative_information_score: -19211.3627, mean_absolute_error: 0.7431, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8619, predictive_accuracy: 0.257, prior_entropy: 0.6457, recall: 0.257, relative_absolute_error: 2.6999, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.862, root_relative_squared_error: 2.3239, total_cost: 6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, average_cost: 0.763, f_measure: 0.4212, kappa: 0.1057, kb_relative_information_score: -14593.14, mean_absolute_error: 0.5665, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8588, predictive_accuracy: 0.395, prior_entropy: 0.6457, recall: 0.395, relative_absolute_error: 2.0583, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.661, root_relative_squared_error: 1.782, total_cost: 6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, average_cost: 5.4835, f_measure: 0.8384, kappa: 0.3624, kb_relative_information_score: 2269.7799, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8367, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.8931, total_cost: 45941,

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

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