Task
Supervised Classification on cjs

Supervised Classification on cjs

Task 14967 Supervised Classification cjs 10695 runs submitted
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  • OpenML100 study_107 study_123 study_14
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10695 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9073, kappa: 0.8865, kb_relative_information_score: 2487.5018, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9081, predictive_accuracy: 0.907, prior_entropy: 2.5207, recall: 0.907, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9297, kappa: 0.9143, kb_relative_information_score: 2555.4368, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9301, predictive_accuracy: 0.9299, prior_entropy: 2.5207, recall: 0.9299, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.3531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8919, kappa: 0.8684, kb_relative_information_score: 2463.7459, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8917, predictive_accuracy: 0.8923, prior_entropy: 2.5207, recall: 0.8923, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8515, kappa: 0.8171, kb_relative_information_score: 2294.0855, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8554, predictive_accuracy: 0.8501, prior_entropy: 2.5207, recall: 0.8501, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8846, kappa: 0.8585, kb_relative_information_score: 2385.6874, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8858, predictive_accuracy: 0.8841, prior_entropy: 2.5207, recall: 0.8841, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8372, kappa: 0.8026, kb_relative_information_score: 2252.2136, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8365, predictive_accuracy: 0.8387, prior_entropy: 2.5207, recall: 0.8387, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8758, kappa: 0.8484, kb_relative_information_score: 2391.415, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.876, predictive_accuracy: 0.8759, prior_entropy: 2.5207, recall: 0.8759, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.4444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8669, kappa: 0.8354, kb_relative_information_score: 2329.8134, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8704, predictive_accuracy: 0.8652, prior_entropy: 2.5207, recall: 0.8652, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9081, kappa: 0.888, kb_relative_information_score: 2482.8702, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9082, predictive_accuracy: 0.9084, prior_entropy: 2.5207, recall: 0.9084, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9053, kappa: 0.8835, kb_relative_information_score: 2480.8715, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9071, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8785, kappa: 0.8503, kb_relative_information_score: 2394.279, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8807, predictive_accuracy: 0.8773, prior_entropy: 2.5207, recall: 0.8773, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8359, kappa: 0.7993, kb_relative_information_score: 2244.5844, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8368, predictive_accuracy: 0.8358, prior_entropy: 2.5207, recall: 0.8358, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8363, kappa: 0.7993, kb_relative_information_score: 2231.7665, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8391, predictive_accuracy: 0.8355, prior_entropy: 2.5207, recall: 0.8355, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8484, kappa: 0.8147, kb_relative_information_score: 2289.0359, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8487, predictive_accuracy: 0.8484, prior_entropy: 2.5207, recall: 0.8484, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8846, kappa: 0.8585, kb_relative_information_score: 2385.6479, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8858, predictive_accuracy: 0.8841, prior_entropy: 2.5207, recall: 0.8841, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9517, kappa: 0.941, kb_relative_information_score: 2631.194, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9519, predictive_accuracy: 0.9517, prior_entropy: 2.5207, recall: 0.9517, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8922, kappa: 0.8688, kb_relative_information_score: 2463.1512, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.892, predictive_accuracy: 0.8927, prior_entropy: 2.5207, recall: 0.8927, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9405, kappa: 0.9274, kb_relative_information_score: 2602.1114, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 2.5207, recall: 0.9406, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8431, kappa: 0.807, kb_relative_information_score: 2270.5899, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8452, predictive_accuracy: 0.8419, prior_entropy: 2.5207, recall: 0.8419, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8659, kappa: 0.8341, kb_relative_information_score: 2338.7697, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8699, predictive_accuracy: 0.8641, prior_entropy: 2.5207, recall: 0.8641, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.4667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9045, kappa: 0.8834, kb_relative_information_score: 2477.4515, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9061, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9237, kappa: 0.9069, kb_relative_information_score: 2551.5869, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9238, predictive_accuracy: 0.9238, prior_entropy: 2.5207, recall: 0.9238, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9317, kappa: 0.9166, kb_relative_information_score: 2576.1708, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.932, predictive_accuracy: 0.9317, prior_entropy: 2.5207, recall: 0.9317, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9703, kappa: 0.9637, kb_relative_information_score: 2699.8361, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 2.5207, recall: 0.9703, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.2514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.931, kappa: 0.9156, kb_relative_information_score: 2583.2042, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9312, predictive_accuracy: 0.931, prior_entropy: 2.5207, recall: 0.931, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9174, kappa: 0.8991, kb_relative_information_score: 2511.2359, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9176, predictive_accuracy: 0.9174, prior_entropy: 2.5207, recall: 0.9174, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9258, kappa: 0.9092, kb_relative_information_score: 2538.548, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9264, predictive_accuracy: 0.9256, prior_entropy: 2.5207, recall: 0.9256, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.136, root_relative_squared_error: 0.3682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8363, kappa: 0.7993, kb_relative_information_score: 2231.7665, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8391, predictive_accuracy: 0.8355, prior_entropy: 2.5207, recall: 0.8355, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8919, kappa: 0.8684, kb_relative_information_score: 2463.2102, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8916, predictive_accuracy: 0.8923, prior_entropy: 2.5207, recall: 0.8923, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9158, kappa: 0.8976, kb_relative_information_score: 2531.2021, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.916, predictive_accuracy: 0.9163, prior_entropy: 2.5207, recall: 0.9163, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.3773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9224, kappa: 0.9052, kb_relative_information_score: 2547.0413, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9225, predictive_accuracy: 0.9224, prior_entropy: 2.5207, recall: 0.9224, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9197, kappa: 0.902, kb_relative_information_score: 2537.9255, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9199, predictive_accuracy: 0.9199, prior_entropy: 2.5207, recall: 0.9199, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9106, kappa: 0.8908, kb_relative_information_score: 2494.8194, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9109, predictive_accuracy: 0.9106, prior_entropy: 2.5207, recall: 0.9106, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9022, kappa: 0.8806, kb_relative_information_score: 2477.6913, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9026, predictive_accuracy: 0.9024, prior_entropy: 2.5207, recall: 0.9024, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9421, kappa: 0.9292, kb_relative_information_score: 2615.0735, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 2.5207, recall: 0.9421, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.3523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9026, kappa: 0.881, kb_relative_information_score: 2477.0832, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.903, predictive_accuracy: 0.9027, prior_entropy: 2.5207, recall: 0.9027, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9159, kappa: 0.8969, kb_relative_information_score: 2516.0021, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9168, predictive_accuracy: 0.9156, prior_entropy: 2.5207, recall: 0.9156, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.3751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8283, kappa: 0.7892, kb_relative_information_score: 2221.3227, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8304, predictive_accuracy: 0.8273, prior_entropy: 2.5207, recall: 0.8273, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.5096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8806, kappa: 0.8529, kb_relative_information_score: 2390.8525, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8828, predictive_accuracy: 0.8795, prior_entropy: 2.5207, recall: 0.8795, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8514, kappa: 0.8179, kb_relative_information_score: 2311.7159, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8525, predictive_accuracy: 0.8509, prior_entropy: 2.5207, recall: 0.8509, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9442, kappa: 0.9318, kb_relative_information_score: 2608.0616, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9445, predictive_accuracy: 0.9442, prior_entropy: 2.5207, recall: 0.9442, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.3339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9274, kappa: 0.9113, kb_relative_information_score: 2559.3904, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9276, predictive_accuracy: 0.9274, prior_entropy: 2.5207, recall: 0.9274, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9046, kappa: 0.8834, kb_relative_information_score: 2478.9564, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9061, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8667, kappa: 0.8361, kb_relative_information_score: 2345.2765, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8689, predictive_accuracy: 0.8659, prior_entropy: 2.5207, recall: 0.8659, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.4545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9585, kappa: 0.9493, kb_relative_information_score: 2653.4505, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 2.5207, recall: 0.9585, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8475, kappa: 0.8127, kb_relative_information_score: 2278.7054, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8496, predictive_accuracy: 0.8466, prior_entropy: 2.5207, recall: 0.8466, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8865, kappa: 0.861, kb_relative_information_score: 2417.8596, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8878, predictive_accuracy: 0.8863, prior_entropy: 2.5207, recall: 0.8863, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9029, kappa: 0.8815, kb_relative_information_score: 2478.5809, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9033, predictive_accuracy: 0.9031, prior_entropy: 2.5207, recall: 0.9031, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8359, kappa: 0.7993, kb_relative_information_score: 2244.5844, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8368, predictive_accuracy: 0.8358, prior_entropy: 2.5207, recall: 0.8358, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8431, kappa: 0.807, kb_relative_information_score: 2270.5899, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8452, predictive_accuracy: 0.8419, prior_entropy: 2.5207, recall: 0.8419, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.896, kappa: 0.8722, kb_relative_information_score: 2457.4415, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8972, predictive_accuracy: 0.8952, prior_entropy: 2.5207, recall: 0.8952, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9098, kappa: 0.8895, kb_relative_information_score: 2488.6427, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9104, predictive_accuracy: 0.9095, prior_entropy: 2.5207, recall: 0.9095, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8785, kappa: 0.8503, kb_relative_information_score: 2393.9515, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8808, predictive_accuracy: 0.8773, prior_entropy: 2.5207, recall: 0.8773, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9192, kappa: 0.9013, kb_relative_information_score: 2521.5862, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9195, predictive_accuracy: 0.9192, prior_entropy: 2.5207, recall: 0.9192, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9159, kappa: 0.8976, kb_relative_information_score: 2530.0911, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.916, predictive_accuracy: 0.9163, prior_entropy: 2.5207, recall: 0.9163, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.3775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9032, kappa: 0.8819, kb_relative_information_score: 2478.2178, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9037, predictive_accuracy: 0.9034, prior_entropy: 2.5207, recall: 0.9034, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8307, kappa: 0.7917, kb_relative_information_score: 2246.8804, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8334, predictive_accuracy: 0.8294, prior_entropy: 2.5207, recall: 0.8294, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9457, kappa: 0.9336, kb_relative_information_score: 2609.3034, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.946, predictive_accuracy: 0.9456, prior_entropy: 2.5207, recall: 0.9456, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8935, kappa: 0.8698, kb_relative_information_score: 2450.2691, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8942, predictive_accuracy: 0.8934, prior_entropy: 2.5207, recall: 0.8934, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8473, kappa: 0.8129, kb_relative_information_score: 2280.7024, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8482, predictive_accuracy: 0.8469, prior_entropy: 2.5207, recall: 0.8469, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9053, kappa: 0.8835, kb_relative_information_score: 2486.2856, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9065, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9053, kappa: 0.8843, kb_relative_information_score: 2479.3306, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.907, predictive_accuracy: 0.9052, prior_entropy: 2.5207, recall: 0.9052, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8316, kappa: 0.7934, kb_relative_information_score: 2246.3279, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8335, predictive_accuracy: 0.8308, prior_entropy: 2.5207, recall: 0.8308, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9232, kappa: 0.9057, kb_relative_information_score: 2532.2631, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9242, predictive_accuracy: 0.9227, prior_entropy: 2.5207, recall: 0.9227, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8405, kappa: 0.8043, kb_relative_information_score: 2249.3812, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8419, predictive_accuracy: 0.8398, prior_entropy: 2.5207, recall: 0.8398, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9379, kappa: 0.924, kb_relative_information_score: 2584.5837, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9381, predictive_accuracy: 0.9378, prior_entropy: 2.5207, recall: 0.9378, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.3421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9049, kappa: 0.8838, kb_relative_information_score: 2479.1094, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9065, predictive_accuracy: 0.9049, prior_entropy: 2.5207, recall: 0.9049, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9355, kappa: 0.9213, kb_relative_information_score: 2584.1528, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9356, predictive_accuracy: 0.9356, prior_entropy: 2.5207, recall: 0.9356, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.3479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9188, kappa: 0.9008, kb_relative_information_score: 2529.9815, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.919, predictive_accuracy: 0.9188, prior_entropy: 2.5207, recall: 0.9188, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8316, kappa: 0.7934, kb_relative_information_score: 2246.297, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8335, predictive_accuracy: 0.8308, prior_entropy: 2.5207, recall: 0.8308, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8891, kappa: 0.8645, kb_relative_information_score: 2428.4921, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8896, predictive_accuracy: 0.8891, prior_entropy: 2.5207, recall: 0.8891, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.97, kappa: 0.9633, kb_relative_information_score: 2699.137, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 2.5207, recall: 0.97, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9244, kappa: 0.9078, kb_relative_information_score: 2550.7409, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9245, predictive_accuracy: 0.9245, prior_entropy: 2.5207, recall: 0.9245, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.3695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9449, kappa: 0.9327, kb_relative_information_score: 2619.2761, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.945, predictive_accuracy: 0.9449, prior_entropy: 2.5207, recall: 0.9449, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8463, kappa: 0.8114, kb_relative_information_score: 2279.7468, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8486, predictive_accuracy: 0.8455, prior_entropy: 2.5207, recall: 0.8455, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8899, kappa: 0.8654, kb_relative_information_score: 2428.5974, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8904, predictive_accuracy: 0.8898, prior_entropy: 2.5207, recall: 0.8898, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8598, kappa: 0.8267, kb_relative_information_score: 2307.9122, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8638, predictive_accuracy: 0.858, prior_entropy: 2.5207, recall: 0.858, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9287, kappa: 0.9127, kb_relative_information_score: 2567.0325, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9292, predictive_accuracy: 0.9285, prior_entropy: 2.5207, recall: 0.9285, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9193, kappa: 0.9016, kb_relative_information_score: 2538.9855, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9195, predictive_accuracy: 0.9195, prior_entropy: 2.5207, recall: 0.9195, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.3766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.896, kappa: 0.8722, kb_relative_information_score: 2457.264, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8972, predictive_accuracy: 0.8952, prior_entropy: 2.5207, recall: 0.8952, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9192, kappa: 0.9013, kb_relative_information_score: 2521.3044, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9194, predictive_accuracy: 0.9192, prior_entropy: 2.5207, recall: 0.9192, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8595, kappa: 0.8284, kb_relative_information_score: 2352.1142, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.86, predictive_accuracy: 0.8594, prior_entropy: 2.5207, recall: 0.8594, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9188, kappa: 0.9008, kb_relative_information_score: 2530.674, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.919, predictive_accuracy: 0.9188, prior_entropy: 2.5207, recall: 0.9188, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9196, kappa: 0.9017, kb_relative_information_score: 2521.665, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9199, predictive_accuracy: 0.9195, prior_entropy: 2.5207, recall: 0.9195, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9359, kappa: 0.9218, kb_relative_information_score: 2581.0547, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 2.5207, recall: 0.936, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9102, kappa: 0.8904, kb_relative_information_score: 2493.7733, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9106, predictive_accuracy: 0.9102, prior_entropy: 2.5207, recall: 0.9102, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8598, kappa: 0.8267, kb_relative_information_score: 2308.4427, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8638, predictive_accuracy: 0.858, prior_entropy: 2.5207, recall: 0.858, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9335, kappa: 0.9187, kb_relative_information_score: 2585.7787, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9336, predictive_accuracy: 0.9335, prior_entropy: 2.5207, recall: 0.9335, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8669, kappa: 0.8354, kb_relative_information_score: 2329.8953, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8704, predictive_accuracy: 0.8652, prior_entropy: 2.5207, recall: 0.8652, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9619, kappa: 0.9533, kb_relative_information_score: 2673.3414, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9621, predictive_accuracy: 0.9617, prior_entropy: 2.5207, recall: 0.9617, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8346, kappa: 0.7967, kb_relative_information_score: 2245.4881, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 2.5207, recall: 0.8333, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8658, kappa: 0.8341, kb_relative_information_score: 2337.9474, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8696, predictive_accuracy: 0.8641, prior_entropy: 2.5207, recall: 0.8641, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.4672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9204, kappa: 0.9029, kb_relative_information_score: 2539.0699, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9206, predictive_accuracy: 0.9206, prior_entropy: 2.5207, recall: 0.9206, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.3773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8504, kappa: 0.8157, kb_relative_information_score: 2294.0049, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8541, predictive_accuracy: 0.8491, prior_entropy: 2.5207, recall: 0.8491, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9233, kappa: 0.9064, kb_relative_information_score: 2547.8211, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9235, predictive_accuracy: 0.9235, prior_entropy: 2.5207, recall: 0.9235, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9505, kappa: 0.9393, kb_relative_information_score: 2623.9263, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9509, predictive_accuracy: 0.9503, prior_entropy: 2.5207, recall: 0.9503, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9033, kappa: 0.8817, kb_relative_information_score: 2477.8994, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9039, predictive_accuracy: 0.9031, prior_entropy: 2.5207, recall: 0.9031, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.97, kappa: 0.9633, kb_relative_information_score: 2698.7591, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 2.5207, recall: 0.97, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9506, kappa: 0.9397, kb_relative_information_score: 2629.4367, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9507, predictive_accuracy: 0.9506, prior_entropy: 2.5207, recall: 0.9506, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9375, kappa: 0.9236, kb_relative_information_score: 2583.0916, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9378, predictive_accuracy: 0.9374, prior_entropy: 2.5207, recall: 0.9374, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3328,

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