OpenML
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 18738 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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18738 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.62, kappa: 0.4976, kb_relative_information_score: 2655.7972, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6153, predictive_accuracy: 0.6345, prior_entropy: 2.3005, recall: 0.6345, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 257.2917, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0385, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3628, root_relative_squared_error: 1.0246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 34.5693, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.5724, kappa: 0.4339, kb_relative_information_score: 2326.49, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5675, predictive_accuracy: 0.5925, prior_entropy: 2.3005, recall: 0.5925, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 85.5671, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, kb_relative_information_score: 12.8592, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.4327, kappa: 0.2377, kb_relative_information_score: 1442.4694, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4369, predictive_accuracy: 0.4461, prior_entropy: 2.3005, recall: 0.4461, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3604, root_relative_squared_error: 1.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 48.5651, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 32.7074, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 79.2454, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0385, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3565, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.6962, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3544, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 119.3526, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3558, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: -0.0007, kb_relative_information_score: 28.2479, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.3495, prior_entropy: 2.3005, recall: 0.3495, relative_absolute_error: 1.0459, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.1368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.5537, kappa: 0.4103, kb_relative_information_score: 2033.461, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5614, predictive_accuracy: 0.5856, prior_entropy: 2.3005, recall: 0.5856, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.4305, kappa: 0.2396, kb_relative_information_score: 1232.785, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4329, predictive_accuracy: 0.4833, prior_entropy: 2.3005, recall: 0.4833, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.5801, kappa: 0.4444, kb_relative_information_score: 2234.024, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5808, predictive_accuracy: 0.6038, prior_entropy: 2.3005, recall: 0.6038, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 7.2329, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.5042, kappa: 0.3412, kb_relative_information_score: 1745.7721, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5347, predictive_accuracy: 0.552, prior_entropy: 2.3005, recall: 0.552, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.311, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.5361, kappa: 0.3863, kb_relative_information_score: 1986.5051, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5449, predictive_accuracy: 0.5719, prior_entropy: 2.3005, recall: 0.5719, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.5758, kappa: 0.4391, kb_relative_information_score: 2229.3948, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5771, predictive_accuracy: 0.6012, prior_entropy: 2.3005, recall: 0.6012, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.5413, kappa: 0.3945, kb_relative_information_score: 2012.4255, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5473, predictive_accuracy: 0.576, prior_entropy: 2.3005, recall: 0.576, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.6094, kappa: 0.4836, kb_relative_information_score: 2500.9911, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6059, predictive_accuracy: 0.626, prior_entropy: 2.3005, recall: 0.626, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.8205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.5583, kappa: 0.4149, kb_relative_information_score: 2093.8605, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5656, predictive_accuracy: 0.5881, prior_entropy: 2.3005, recall: 0.5881, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 79.6087, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3549, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, kappa: 0.1485, kb_relative_information_score: 866.6115, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4145, prior_entropy: 2.3005, recall: 0.4145, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.6084, kappa: 0.4818, kb_relative_information_score: 2614.4862, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6037, predictive_accuracy: 0.6232, prior_entropy: 2.3005, recall: 0.6232, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.5454, kappa: 0.397, kb_relative_information_score: 2349.5488, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5382, predictive_accuracy: 0.5582, prior_entropy: 2.3005, recall: 0.5582, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.311, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.5703, kappa: 0.4313, kb_relative_information_score: 2208.1669, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5736, predictive_accuracy: 0.5971, prior_entropy: 2.3005, recall: 0.5971, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.5876, kappa: 0.4542, kb_relative_information_score: 2495.8458, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5817, predictive_accuracy: 0.6038, prior_entropy: 2.3005, recall: 0.6038, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.5958, kappa: 0.4654, kb_relative_information_score: 2460.6415, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5935, predictive_accuracy: 0.6156, prior_entropy: 2.3005, recall: 0.6156, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6028, kappa: 0.475, kb_relative_information_score: 2535.7837, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5983, predictive_accuracy: 0.6206, prior_entropy: 2.3005, recall: 0.6206, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.6055, kappa: 0.4773, kb_relative_information_score: 2733.3655, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6002, predictive_accuracy: 0.6169, prior_entropy: 2.3005, recall: 0.6169, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.292, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.5943, kappa: 0.4633, kb_relative_information_score: 2538.5186, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5891, predictive_accuracy: 0.611, prior_entropy: 2.3005, recall: 0.611, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.4407, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3544, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.5487, kappa: 0.4021, kb_relative_information_score: 2059.7792, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5569, predictive_accuracy: 0.5807, prior_entropy: 2.3005, recall: 0.5807, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.607, kappa: 0.4799, kb_relative_information_score: 2573.2017, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6034, predictive_accuracy: 0.6237, prior_entropy: 2.3005, recall: 0.6237, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.8187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.5912, kappa: 0.4594, kb_relative_information_score: 2377.214, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5891, predictive_accuracy: 0.6123, prior_entropy: 2.3005, recall: 0.6123, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.5852, kappa: 0.4516, kb_relative_information_score: 2314.9796, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5838, predictive_accuracy: 0.6077, prior_entropy: 2.3005, recall: 0.6077, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.5543, kappa: 0.4105, kb_relative_information_score: 2069.7279, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.56, predictive_accuracy: 0.5848, prior_entropy: 2.3005, recall: 0.5848, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.5483, kappa: 0.401, kb_relative_information_score: 2048.6868, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5579, predictive_accuracy: 0.5811, prior_entropy: 2.3005, recall: 0.5811, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.6083, kappa: 0.4815, kb_relative_information_score: 2662.8208, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.603, predictive_accuracy: 0.6216, prior_entropy: 2.3005, recall: 0.6216, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.8204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.5966, kappa: 0.4669, kb_relative_information_score: 2426.592, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5947, predictive_accuracy: 0.6169, prior_entropy: 2.3005, recall: 0.6169, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.292, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.5984, kappa: 0.469, kb_relative_information_score: 2446.9866, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5956, predictive_accuracy: 0.6177, prior_entropy: 2.3005, recall: 0.6177, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 10.7445, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.5843, kappa: 0.4498, kb_relative_information_score: 2302.9502, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5844, predictive_accuracy: 0.6077, prior_entropy: 2.3005, recall: 0.6077, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.5905, kappa: 0.459, kb_relative_information_score: 2403.7288, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5864, predictive_accuracy: 0.6102, prior_entropy: 2.3005, recall: 0.6102, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.5791, kappa: 0.4429, kb_relative_information_score: 2257.2168, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5794, predictive_accuracy: 0.6028, prior_entropy: 2.3005, recall: 0.6028, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.5507, kappa: 0.4063, kb_relative_information_score: 2036.1519, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5553, predictive_accuracy: 0.5824, prior_entropy: 2.3005, recall: 0.5824, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.8534,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.4615, kappa: 0.2906, kb_relative_information_score: 1370.5792, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4629, predictive_accuracy: 0.5173, prior_entropy: 2.3005, recall: 0.5173, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.5756, kappa: 0.4387, kb_relative_information_score: 2223.7698, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5779, predictive_accuracy: 0.601, prior_entropy: 2.3005, recall: 0.601, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8384,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.5596, kappa: 0.4179, kb_relative_information_score: 2112.8033, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5628, predictive_accuracy: 0.5891, prior_entropy: 2.3005, recall: 0.5891, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.5925, kappa: 0.4609, kb_relative_information_score: 2423.5062, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5897, predictive_accuracy: 0.6123, prior_entropy: 2.3005, recall: 0.6123, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.5434, kappa: 0.3955, kb_relative_information_score: 2000.8202, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5518, predictive_accuracy: 0.5768, prior_entropy: 2.3005, recall: 0.5768, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.304, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.5818, kappa: 0.4473, kb_relative_information_score: 2276.4411, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5814, predictive_accuracy: 0.6058, prior_entropy: 2.3005, recall: 0.6058, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.561, kappa: 0.418, kb_relative_information_score: 2147.8545, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5662, predictive_accuracy: 0.5906, prior_entropy: 2.3005, recall: 0.5906, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.5977, kappa: 0.4663, kb_relative_information_score: 2715.9067, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5925, predictive_accuracy: 0.6058, prior_entropy: 2.3005, recall: 0.6058, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.8428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.5427, kappa: 0.3926, kb_relative_information_score: 1987.7558, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5541, predictive_accuracy: 0.5773, prior_entropy: 2.3005, recall: 0.5773, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.5853, kappa: 0.4518, kb_relative_information_score: 2327.7378, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5845, predictive_accuracy: 0.6089, prior_entropy: 2.3005, recall: 0.6089, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.295, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.5362, kappa: 0.3844, kb_relative_information_score: 1971.4374, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5475, predictive_accuracy: 0.5719, prior_entropy: 2.3005, recall: 0.5719, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.5338, kappa: 0.3818, kb_relative_information_score: 1954.2161, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5463, predictive_accuracy: 0.5704, prior_entropy: 2.3005, recall: 0.5704, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.5602, kappa: 0.4185, kb_relative_information_score: 2103.0534, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5648, predictive_accuracy: 0.5897, prior_entropy: 2.3005, recall: 0.5897, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.301, root_relative_squared_error: 0.8501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.5585, kappa: 0.4167, kb_relative_information_score: 2057.0495, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.563, predictive_accuracy: 0.5886, prior_entropy: 2.3005, recall: 0.5886, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.8513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.5836, kappa: 0.4494, kb_relative_information_score: 2294.3184, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5831, predictive_accuracy: 0.6067, prior_entropy: 2.3005, recall: 0.6067, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.5938, kappa: 0.463, kb_relative_information_score: 2398.3992, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5917, predictive_accuracy: 0.6147, prior_entropy: 2.3005, recall: 0.6147, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.5869, kappa: 0.4536, kb_relative_information_score: 2367.4724, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5839, predictive_accuracy: 0.6077, prior_entropy: 2.3005, recall: 0.6077, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.6184, kappa: 0.4952, kb_relative_information_score: 2634.8022, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6133, predictive_accuracy: 0.6319, prior_entropy: 2.3005, recall: 0.6319, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.5983, kappa: 0.4691, kb_relative_information_score: 2502.1454, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5937, predictive_accuracy: 0.6161, prior_entropy: 2.3005, recall: 0.6161, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.291, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.5019, kappa: 0.3378, kb_relative_information_score: 1721.9965, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5371, predictive_accuracy: 0.5512, prior_entropy: 2.3005, recall: 0.5512, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.6143, kappa: 0.4895, kb_relative_information_score: 2614.3399, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.61, predictive_accuracy: 0.6293, prior_entropy: 2.3005, recall: 0.6293, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.289, root_relative_squared_error: 0.8161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.567, kappa: 0.427, kb_relative_information_score: 2159.2414, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5698, predictive_accuracy: 0.5945, prior_entropy: 2.3005, recall: 0.5945, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.6009, kappa: 0.4721, kb_relative_information_score: 2549.3619, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5964, predictive_accuracy: 0.6177, prior_entropy: 2.3005, recall: 0.6177, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.5798, kappa: 0.4435, kb_relative_information_score: 2323.0759, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5769, predictive_accuracy: 0.6007, prior_entropy: 2.3005, recall: 0.6007, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 35.3997, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.5895, kappa: 0.4565, kb_relative_information_score: 2462.6023, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5848, predictive_accuracy: 0.6076, prior_entropy: 2.3005, recall: 0.6076, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.5534, kappa: 0.4072, kb_relative_information_score: 2529.7074, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5476, predictive_accuracy: 0.5618, prior_entropy: 2.3005, recall: 0.5618, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.312, root_relative_squared_error: 0.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.6115, kappa: 0.4865, kb_relative_information_score: 2626.0299, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6065, predictive_accuracy: 0.6262, prior_entropy: 2.3005, recall: 0.6262, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.5635, kappa: 0.4232, kb_relative_information_score: 2119.8505, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5663, predictive_accuracy: 0.5915, prior_entropy: 2.3005, recall: 0.5915, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.477, kappa: 0.3042, kb_relative_information_score: 1591.6592, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5227, predictive_accuracy: 0.5332, prior_entropy: 2.3005, recall: 0.5332, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.5575, kappa: 0.4154, kb_relative_information_score: 2056.2142, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5627, predictive_accuracy: 0.5876, prior_entropy: 2.3005, recall: 0.5876, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.6072, kappa: 0.4811, kb_relative_information_score: 2518.6479, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.603, predictive_accuracy: 0.6246, prior_entropy: 2.3005, recall: 0.6246, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.5881, kappa: 0.4548, kb_relative_information_score: 2534.1361, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5822, predictive_accuracy: 0.603, prior_entropy: 2.3005, recall: 0.603, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.5628, kappa: 0.4204, kb_relative_information_score: 2439.0141, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5559, predictive_accuracy: 0.5745, prior_entropy: 2.3005, recall: 0.5745, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.5712, kappa: 0.4333, kb_relative_information_score: 2218.1426, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5721, predictive_accuracy: 0.5974, prior_entropy: 2.3005, recall: 0.5974, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.5438, kappa: 0.3937, kb_relative_information_score: 2466.4929, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5411, predictive_accuracy: 0.5479, prior_entropy: 2.3005, recall: 0.5479, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.535, kappa: 0.3819, kb_relative_information_score: 2421.2975, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.532, predictive_accuracy: 0.54, prior_entropy: 2.3005, recall: 0.54, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.517, kappa: 0.3591, kb_relative_information_score: 2123.8854, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5103, predictive_accuracy: 0.5315, prior_entropy: 2.3005, recall: 0.5315, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.5354, kappa: 0.3827, kb_relative_information_score: 2427.13, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5308, predictive_accuracy: 0.5418, prior_entropy: 2.3005, recall: 0.5418, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.5413, kappa: 0.3901, kb_relative_information_score: 2507.5512, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5394, predictive_accuracy: 0.5441, prior_entropy: 2.3005, recall: 0.5441, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.5451, kappa: 0.3948, kb_relative_information_score: 2625.8619, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5465, predictive_accuracy: 0.5448, prior_entropy: 2.3005, recall: 0.5448, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.5447, kappa: 0.3987, kb_relative_information_score: 2023.726, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5501, predictive_accuracy: 0.5785, prior_entropy: 2.3005, recall: 0.5785, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.5998, kappa: 0.471, kb_relative_information_score: 2393.6657, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5968, predictive_accuracy: 0.619, prior_entropy: 2.3005, recall: 0.619, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.5243, kappa: 0.3679, kb_relative_information_score: 2223.5609, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5179, predictive_accuracy: 0.5368, prior_entropy: 2.3005, recall: 0.5368, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.528, kappa: 0.373, kb_relative_information_score: 2264.1391, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5217, predictive_accuracy: 0.5405, prior_entropy: 2.3005, recall: 0.5405, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.5284, kappa: 0.3735, kb_relative_information_score: 2333.2996, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5227, predictive_accuracy: 0.5391, prior_entropy: 2.3005, recall: 0.5391, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.5244, kappa: 0.368, kb_relative_information_score: 2223.2663, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.518, predictive_accuracy: 0.5369, prior_entropy: 2.3005, recall: 0.5369, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.5433, kappa: 0.3928, kb_relative_information_score: 2550.0168, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5409, predictive_accuracy: 0.5469, prior_entropy: 2.3005, recall: 0.5469, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.5166, kappa: 0.3586, kb_relative_information_score: 2124.7477, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5097, predictive_accuracy: 0.5312, prior_entropy: 2.3005, recall: 0.5312, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.91,

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