Task
Supervised Classification on texture

Supervised Classification on texture

Task 125922 Supervised Classification texture 20390 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_98 study_99
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20390 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9907, kappa: 0.9898, kb_relative_information_score: 5442.3998, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 3.4594, recall: 0.9907, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.041, root_relative_squared_error: 0.1427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.7729, kappa: 0.7538, kb_relative_information_score: 4253.497, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7785, predictive_accuracy: 0.7762, prior_entropy: 3.4594, recall: 0.7762, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9279, kappa: 0.9206, kb_relative_information_score: 5087.2203, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9279, predictive_accuracy: 0.9278, prior_entropy: 3.4594, recall: 0.9278, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9677, kappa: 0.9644, kb_relative_information_score: 5168.5207, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9679, predictive_accuracy: 0.9676, prior_entropy: 3.4594, recall: 0.9676, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9675, kappa: 0.9642, kb_relative_information_score: 5253.3909, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9676, predictive_accuracy: 0.9675, prior_entropy: 3.4594, recall: 0.9675, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 5488.2521, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0162, root_relative_squared_error: 0.0564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9991, kappa: 0.999, kb_relative_information_score: 1589.6346, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 3.4594, recall: 0.9991, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9364, kappa: 0.93, kb_relative_information_score: 5132.1722, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9365, predictive_accuracy: 0.9364, prior_entropy: 3.4594, recall: 0.9364, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.3695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9802, kappa: 0.9782, kb_relative_information_score: 5187.2052, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9803, predictive_accuracy: 0.9802, prior_entropy: 3.4594, recall: 0.9802, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.7832, kappa: 0.763, kb_relative_information_score: 4094.479, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7981, predictive_accuracy: 0.7845, prior_entropy: 3.4594, recall: 0.7845, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8667, kappa: 0.8536, kb_relative_information_score: 4579.1408, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.869, predictive_accuracy: 0.8669, prior_entropy: 3.4594, recall: 0.8669, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8959, kappa: 0.8854, kb_relative_information_score: 4848.1544, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.896, predictive_accuracy: 0.8958, prior_entropy: 3.4594, recall: 0.8958, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.4341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8365, kappa: 0.8218, kb_relative_information_score: 4455.0432, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8379, predictive_accuracy: 0.838, prior_entropy: 3.4594, recall: 0.838, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.4245, kappa: 0.474, kb_relative_information_score: 3167.292, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.3963, predictive_accuracy: 0.5218, prior_entropy: 3.4594, recall: 0.5218, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.4245, kappa: 0.474, kb_relative_information_score: 3167.292, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.3963, predictive_accuracy: 0.5218, prior_entropy: 3.4594, recall: 0.5218, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.742, kappa: 0.7224, kb_relative_information_score: 3864.8993, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7594, predictive_accuracy: 0.7476, prior_entropy: 3.4594, recall: 0.7476, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8823, kappa: 0.8706, kb_relative_information_score: 4732.9448, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8827, predictive_accuracy: 0.8824, prior_entropy: 3.4594, recall: 0.8824, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8823, kappa: 0.8706, kb_relative_information_score: 4725.8045, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8826, predictive_accuracy: 0.8824, prior_entropy: 3.4594, recall: 0.8824, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8729, kappa: 0.8598, kb_relative_information_score: 4757.9327, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.875, predictive_accuracy: 0.8725, prior_entropy: 3.4594, recall: 0.8725, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8807, kappa: 0.8688, kb_relative_information_score: 4708.0756, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8809, predictive_accuracy: 0.8807, prior_entropy: 3.4594, recall: 0.8807, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8683, kappa: 0.8556, kb_relative_information_score: 4602.7172, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.869, predictive_accuracy: 0.8687, prior_entropy: 3.4594, recall: 0.8687, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8746, kappa: 0.8624, kb_relative_information_score: 4626.6425, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.876, predictive_accuracy: 0.8749, prior_entropy: 3.4594, recall: 0.8749, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.6455, kappa: 0.6456, kb_relative_information_score: 3670.1636, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.6238, predictive_accuracy: 0.6778, prior_entropy: 3.4594, recall: 0.6778, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9272, kappa: 0.9198, kb_relative_information_score: 5062.7319, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9274, predictive_accuracy: 0.9271, prior_entropy: 3.4594, recall: 0.9271, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.6888, kappa: 0.6904, kb_relative_information_score: 3773.2218, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.6758, predictive_accuracy: 0.7185, prior_entropy: 3.4594, recall: 0.7185, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.1692, kappa: 0.1982, kb_relative_information_score: 1663.8522, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.1444, predictive_accuracy: 0.2711, prior_entropy: 3.4594, recall: 0.2711, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8364, kappa: 0.8214, kb_relative_information_score: 4474.0425, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8372, predictive_accuracy: 0.8376, prior_entropy: 3.4594, recall: 0.8376, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8824, kappa: 0.8706, kb_relative_information_score: 4721.654, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8827, predictive_accuracy: 0.8824, prior_entropy: 3.4594, recall: 0.8824, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.866, kappa: 0.8526, kb_relative_information_score: 4614.5521, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8684, predictive_accuracy: 0.866, prior_entropy: 3.4594, recall: 0.866, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9232, kappa: 0.9154, kb_relative_information_score: 5036.7503, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9234, predictive_accuracy: 0.9231, prior_entropy: 3.4594, recall: 0.9231, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8371, kappa: 0.8224, kb_relative_information_score: 4462.3761, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 3.4594, recall: 0.8385, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.5301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9174, kappa: 0.9092, kb_relative_information_score: 4970.6402, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9174, predictive_accuracy: 0.9175, prior_entropy: 3.4594, recall: 0.9175, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.4043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8937, kappa: 0.883, kb_relative_information_score: 4750.7429, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8944, predictive_accuracy: 0.8936, prior_entropy: 3.4594, recall: 0.8936, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7898, kappa: 0.7696, kb_relative_information_score: 4130.3201, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8066, predictive_accuracy: 0.7905, prior_entropy: 3.4594, recall: 0.7905, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.7678, kappa: 0.748, kb_relative_information_score: 3980.7456, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7825, predictive_accuracy: 0.7709, prior_entropy: 3.4594, recall: 0.7709, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.6246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9255, kappa: 0.918, kb_relative_information_score: 5046.3642, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9257, predictive_accuracy: 0.9255, prior_entropy: 3.4594, recall: 0.9255, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9191, kappa: 0.911, kb_relative_information_score: 5043.3912, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9194, predictive_accuracy: 0.9191, prior_entropy: 3.4594, recall: 0.9191, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.856, kappa: 0.8416, kb_relative_information_score: 4517.9253, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8597, predictive_accuracy: 0.856, prior_entropy: 3.4594, recall: 0.856, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.5131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8366, kappa: 0.8216, kb_relative_information_score: 4477.0563, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8375, predictive_accuracy: 0.8378, prior_entropy: 3.4594, recall: 0.8378, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8366, kappa: 0.8216, kb_relative_information_score: 4477.0563, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8375, predictive_accuracy: 0.8378, prior_entropy: 3.4594, recall: 0.8378, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8807, kappa: 0.8688, kb_relative_information_score: 4708.0756, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8809, predictive_accuracy: 0.8807, prior_entropy: 3.4594, recall: 0.8807, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9184, kappa: 0.9102, kb_relative_information_score: 4983.2128, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9184, predictive_accuracy: 0.9184, prior_entropy: 3.4594, recall: 0.9184, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9038, kappa: 0.8942, kb_relative_information_score: 4865.8561, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9038, predictive_accuracy: 0.9038, prior_entropy: 3.4594, recall: 0.9038, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.4287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.6888, kappa: 0.6904, kb_relative_information_score: 3773.2218, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.6758, predictive_accuracy: 0.7185, prior_entropy: 3.4594, recall: 0.7185, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.4245, kappa: 0.474, kb_relative_information_score: 3167.292, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.3963, predictive_accuracy: 0.5218, prior_entropy: 3.4594, recall: 0.5218, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8881, kappa: 0.8766, kb_relative_information_score: 4737.776, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8892, predictive_accuracy: 0.8878, prior_entropy: 3.4594, recall: 0.8878, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8997, kappa: 0.8896, kb_relative_information_score: 4812.1034, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9, predictive_accuracy: 0.8996, prior_entropy: 3.4594, recall: 0.8996, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.4394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9285, kappa: 0.9212, kb_relative_information_score: 5089.2843, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9286, predictive_accuracy: 0.9284, prior_entropy: 3.4594, recall: 0.9284, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8929, kappa: 0.8822, kb_relative_information_score: 4752.0485, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8935, predictive_accuracy: 0.8929, prior_entropy: 3.4594, recall: 0.8929, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.7678, kappa: 0.748, kb_relative_information_score: 3980.7456, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7825, predictive_accuracy: 0.7709, prior_entropy: 3.4594, recall: 0.7709, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.6246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.866, kappa: 0.853, kb_relative_information_score: 4578.7416, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8674, predictive_accuracy: 0.8664, prior_entropy: 3.4594, recall: 0.8664, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9098, kappa: 0.9008, kb_relative_information_score: 4927.1206, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9098, predictive_accuracy: 0.9098, prior_entropy: 3.4594, recall: 0.9098, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8225, kappa: 0.8054, kb_relative_information_score: 4321.9027, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8364, predictive_accuracy: 0.8231, prior_entropy: 3.4594, recall: 0.8231, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8823, kappa: 0.8706, kb_relative_information_score: 4732.9448, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8827, predictive_accuracy: 0.8824, prior_entropy: 3.4594, recall: 0.8824, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8371, kappa: 0.8224, kb_relative_information_score: 4462.3761, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 3.4594, recall: 0.8385, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.5301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8459, kappa: 0.8304, kb_relative_information_score: 4450.9967, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8513, predictive_accuracy: 0.8458, prior_entropy: 3.4594, recall: 0.8458, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7168, kappa: 0.7054, kb_relative_information_score: 3811.8411, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7427, predictive_accuracy: 0.7322, prior_entropy: 3.4594, recall: 0.7322, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.4245, kappa: 0.474, kb_relative_information_score: 3167.292, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.3963, predictive_accuracy: 0.5218, prior_entropy: 3.4594, recall: 0.5218, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8313, kappa: 0.816, kb_relative_information_score: 4401.9622, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8345, predictive_accuracy: 0.8327, prior_entropy: 3.4594, recall: 0.8327, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.7997, kappa: 0.7814, kb_relative_information_score: 4178.5214, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8212, predictive_accuracy: 0.8013, prior_entropy: 3.4594, recall: 0.8013, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8627, kappa: 0.8492, kb_relative_information_score: 4556.9447, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8654, predictive_accuracy: 0.8629, prior_entropy: 3.4594, recall: 0.8629, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8211, kappa: 0.804, kb_relative_information_score: 4314.2641, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8356, predictive_accuracy: 0.8218, prior_entropy: 3.4594, recall: 0.8218, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8366, kappa: 0.822, kb_relative_information_score: 4451.5233, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 3.4594, recall: 0.8382, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.5324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.4245, kappa: 0.474, kb_relative_information_score: 3167.292, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.3963, predictive_accuracy: 0.5218, prior_entropy: 3.4594, recall: 0.5218, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9088, kappa: 0.8998, kb_relative_information_score: 4905.0754, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9088, predictive_accuracy: 0.9089, prior_entropy: 3.4594, recall: 0.9089, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.7832, kappa: 0.763, kb_relative_information_score: 4094.479, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7981, predictive_accuracy: 0.7845, prior_entropy: 3.4594, recall: 0.7845, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8459, kappa: 0.8304, kb_relative_information_score: 4450.9967, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8513, predictive_accuracy: 0.8458, prior_entropy: 3.4594, recall: 0.8458, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8238, kappa: 0.8066, kb_relative_information_score: 4334.0965, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8359, predictive_accuracy: 0.8242, prior_entropy: 3.4594, recall: 0.8242, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8918, kappa: 0.8804, kb_relative_information_score: 4825.1819, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8927, predictive_accuracy: 0.8913, prior_entropy: 3.4594, recall: 0.8913, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.4423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.869, kappa: 0.8556, kb_relative_information_score: 4653.1827, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8707, predictive_accuracy: 0.8687, prior_entropy: 3.4594, recall: 0.8687, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.139, root_relative_squared_error: 0.4835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.5003, kappa: 0.5476, kb_relative_information_score: 3409.9275, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.4645, predictive_accuracy: 0.5887, prior_entropy: 3.4594, recall: 0.5887, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8339, kappa: 0.8188, kb_relative_information_score: 4418.1654, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8362, predictive_accuracy: 0.8353, prior_entropy: 3.4594, recall: 0.8353, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8746, kappa: 0.8624, kb_relative_information_score: 4626.6425, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.876, predictive_accuracy: 0.8749, prior_entropy: 3.4594, recall: 0.8749, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8706, kappa: 0.8576, kb_relative_information_score: 4692.8313, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8722, predictive_accuracy: 0.8705, prior_entropy: 3.4594, recall: 0.8705, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.892, kappa: 0.8806, kb_relative_information_score: 4859.3818, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8928, predictive_accuracy: 0.8915, prior_entropy: 3.4594, recall: 0.8915, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8313, kappa: 0.816, kb_relative_information_score: 4401.8314, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8343, predictive_accuracy: 0.8327, prior_entropy: 3.4594, recall: 0.8327, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8068, kappa: 0.7894, kb_relative_information_score: 4216.4727, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8297, predictive_accuracy: 0.8085, prior_entropy: 3.4594, recall: 0.8085, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.1692, kappa: 0.1982, kb_relative_information_score: 1663.8522, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.1444, predictive_accuracy: 0.2711, prior_entropy: 3.4594, recall: 0.2711, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.4524, kappa: 0.4932, kb_relative_information_score: 3233.9757, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.4257, predictive_accuracy: 0.5393, prior_entropy: 3.4594, recall: 0.5393, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8768, kappa: 0.8648, kb_relative_information_score: 4645.4294, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8777, predictive_accuracy: 0.8771, prior_entropy: 3.4594, recall: 0.8771, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8376, kappa: 0.8216, kb_relative_information_score: 4404.7296, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8449, predictive_accuracy: 0.8378, prior_entropy: 3.4594, recall: 0.8378, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8904, kappa: 0.879, kb_relative_information_score: 4808.3658, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 3.4594, recall: 0.89, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8211, kappa: 0.804, kb_relative_information_score: 4314.2641, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8356, predictive_accuracy: 0.8218, prior_entropy: 3.4594, recall: 0.8218, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8886, kappa: 0.8772, kb_relative_information_score: 4730.6462, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8897, predictive_accuracy: 0.8884, prior_entropy: 3.4594, recall: 0.8884, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8909, kappa: 0.8796, kb_relative_information_score: 4765.3553, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8917, predictive_accuracy: 0.8905, prior_entropy: 3.4594, recall: 0.8905, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7444, kappa: 0.724, kb_relative_information_score: 3871.27, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7603, predictive_accuracy: 0.7491, prior_entropy: 3.4594, recall: 0.7491, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8117, kappa: 0.7954, kb_relative_information_score: 4256.8883, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8299, predictive_accuracy: 0.814, prior_entropy: 3.4594, recall: 0.814, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8955, kappa: 0.885, kb_relative_information_score: 4854.2268, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8959, predictive_accuracy: 0.8955, prior_entropy: 3.4594, recall: 0.8955, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.6501, kappa: 0.6516, kb_relative_information_score: 3684.6935, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.6287, predictive_accuracy: 0.6833, prior_entropy: 3.4594, recall: 0.6833, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.6834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8615, kappa: 0.848, kb_relative_information_score: 4607.4345, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8628, predictive_accuracy: 0.8618, prior_entropy: 3.4594, recall: 0.8618, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8939, kappa: 0.8832, kb_relative_information_score: 4783.1344, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8944, predictive_accuracy: 0.8938, prior_entropy: 3.4594, recall: 0.8938, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.4484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.5003, kappa: 0.5476, kb_relative_information_score: 3409.9275, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.4645, predictive_accuracy: 0.5887, prior_entropy: 3.4594, recall: 0.5887, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.742, kappa: 0.7224, kb_relative_information_score: 3864.8993, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7594, predictive_accuracy: 0.7476, prior_entropy: 3.4594, recall: 0.7476, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.7951, kappa: 0.776, kb_relative_information_score: 4151.7674, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8122, predictive_accuracy: 0.7964, prior_entropy: 3.4594, recall: 0.7964, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.5003, kappa: 0.5476, kb_relative_information_score: 3409.9275, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.4645, predictive_accuracy: 0.5887, prior_entropy: 3.4594, recall: 0.5887, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8823, kappa: 0.8706, kb_relative_information_score: 4732.9448, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8827, predictive_accuracy: 0.8824, prior_entropy: 3.4594, recall: 0.8824, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8705, kappa: 0.8574, kb_relative_information_score: 4697.8085, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8721, predictive_accuracy: 0.8704, prior_entropy: 3.4594, recall: 0.8704, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.4245, kappa: 0.474, kb_relative_information_score: 3167.292, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.3963, predictive_accuracy: 0.5218, prior_entropy: 3.4594, recall: 0.5218, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.5003, kappa: 0.5476, kb_relative_information_score: 3409.9275, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.4645, predictive_accuracy: 0.5887, prior_entropy: 3.4594, recall: 0.5887, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8793, kappa: 0.8674, kb_relative_information_score: 4665.5769, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8801, predictive_accuracy: 0.8795, prior_entropy: 3.4594, recall: 0.8795, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4781,

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