Task
Supervised Classification on synthetic_control

Supervised Classification on synthetic_control

Task 3512 Supervised Classification synthetic_control 12631 runs submitted
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  • OpenML100 study_1 study_107 study_123 study_14 study_7 under100k under1m
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12631 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.2572, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 49.1222, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.527, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.3785, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.373, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 49.1222, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.527, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9398, kappa: 0.928, kb_relative_information_score: 368.7459, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9406, predictive_accuracy: 0.94, prior_entropy: 2.585, recall: 0.94, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.6262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.1725, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3763, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.6339, kappa: 0.57, kb_relative_information_score: 314.1692, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.6409, predictive_accuracy: 0.6417, prior_entropy: 2.585, recall: 0.6417, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.7589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, kappa: 0.18, kb_relative_information_score: 56.6129, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.3167, prior_entropy: 2.585, recall: 0.3167, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.307, kappa: 0.162, kb_relative_information_score: 139.9962, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.389, predictive_accuracy: 0.3017, prior_entropy: 2.585, recall: 0.3017, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.2246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2194, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9171, kappa: 0.902, kb_relative_information_score: 514.3328, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9216, predictive_accuracy: 0.9183, prior_entropy: 2.585, recall: 0.9183, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9246, kappa: 0.91, kb_relative_information_score: 510.0198, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 2.585, recall: 0.925, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.901, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.9464, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3732, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.5195, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3772, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8047, kappa: 0.766, kb_relative_information_score: 446.1017, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8171, predictive_accuracy: 0.805, prior_entropy: 2.585, recall: 0.805, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.4461, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9316, kappa: 0.918, kb_relative_information_score: 301.0447, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9349, predictive_accuracy: 0.9317, prior_entropy: 2.585, recall: 0.9317, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.7307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.1728, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3732, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.595, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.8695, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.1164, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 49.1222, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.527, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.8685, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.2122, kappa: 0.062, kb_relative_information_score: 83.2766, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.2662, predictive_accuracy: 0.2183, prior_entropy: 2.585, recall: 0.2183, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.6864, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.3176, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3739, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.9392, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9282, kappa: 0.914, kb_relative_information_score: 481.3551, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9282, predictive_accuracy: 0.9283, prior_entropy: 2.585, recall: 0.9283, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.162, root_relative_squared_error: 0.4347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.2816, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.373, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0448, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.2766, kappa: 0.134, kb_relative_information_score: 122.9398, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.298, predictive_accuracy: 0.2783, prior_entropy: 2.585, recall: 0.2783, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.3161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9162, kappa: 0.9, kb_relative_information_score: 544.9122, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9188, predictive_accuracy: 0.9167, prior_entropy: 2.585, recall: 0.9167, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.985, kappa: 0.982, kb_relative_information_score: 590.0842, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 2.585, recall: 0.985, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9833, kappa: 0.98, kb_relative_information_score: 588.9824, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 2.585, recall: 0.9833, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.995, kappa: 0.994, kb_relative_information_score: 596.6947, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 2.585, recall: 0.995, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.985, kappa: 0.982, kb_relative_information_score: 590.0842, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9853, predictive_accuracy: 0.985, prior_entropy: 2.585, recall: 0.985, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8028, kappa: 0.762, kb_relative_information_score: 468.8911, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8263, predictive_accuracy: 0.8017, prior_entropy: 2.585, recall: 0.8017, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.6899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9833, kappa: 0.98, kb_relative_information_score: 588.9824, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.585, recall: 0.9833, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9145, kappa: 0.898, kb_relative_information_score: 543.8105, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9146, predictive_accuracy: 0.915, prior_entropy: 2.585, recall: 0.915, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.2711, kappa: 0.206, kb_relative_information_score: 162.603, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.2461, predictive_accuracy: 0.3383, prior_entropy: 2.585, recall: 0.3383, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.331, kappa: 0.214, kb_relative_information_score: 167.01, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.3207, predictive_accuracy: 0.345, prior_entropy: 2.585, recall: 0.345, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9305, kappa: 0.916, kb_relative_information_score: 553.7263, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.936, predictive_accuracy: 0.93, prior_entropy: 2.585, recall: 0.93, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9297, kappa: 0.916, kb_relative_information_score: 553.7263, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9304, predictive_accuracy: 0.93, prior_entropy: 2.585, recall: 0.93, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7728, kappa: 0.72, kb_relative_information_score: 445.7542, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8185, predictive_accuracy: 0.7667, prior_entropy: 2.585, recall: 0.7667, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.995, kappa: 0.994, kb_relative_information_score: 596.6947, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 2.585, recall: 0.995, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9683, kappa: 0.962, kb_relative_information_score: 579.0666, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9687, predictive_accuracy: 0.9683, prior_entropy: 2.585, recall: 0.9683, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.2757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.6772, kappa: 0.614, kb_relative_information_score: 387.3612, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.6771, predictive_accuracy: 0.6783, prior_entropy: 2.585, recall: 0.6783, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8011, kappa: 0.76, kb_relative_information_score: 467.7893, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8263, predictive_accuracy: 0.8, prior_entropy: 2.585, recall: 0.8, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8296, kappa: 0.784, kb_relative_information_score: 481.0104, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8758, predictive_accuracy: 0.82, prior_entropy: 2.585, recall: 0.82, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9582, kappa: 0.95, kb_relative_information_score: 572.4561, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9589, predictive_accuracy: 0.9583, prior_entropy: 2.585, recall: 0.9583, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9432, kappa: 0.932, kb_relative_information_score: 562.5403, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.946, predictive_accuracy: 0.9433, prior_entropy: 2.585, recall: 0.9433, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, kappa: -0.2, kb_relative_information_score: -61.0534, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.2778, number_of_instances: 600, prior_entropy: 2.585, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.5492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8947, kappa: 0.874, kb_relative_information_score: 530.5894, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8947, predictive_accuracy: 0.895, prior_entropy: 2.585, recall: 0.895, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8675, kappa: 0.848, kb_relative_information_score: 516.2666, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8959, predictive_accuracy: 0.8733, prior_entropy: 2.585, recall: 0.8733, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9817, kappa: 0.978, kb_relative_information_score: 587.8807, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9933, kappa: 0.992, kb_relative_information_score: 595.593, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9935, predictive_accuracy: 0.9933, prior_entropy: 2.585, recall: 0.9933, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.3482, kappa: 0.24, kb_relative_information_score: 181.3329, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.3335, predictive_accuracy: 0.3667, prior_entropy: 2.585, recall: 0.3667, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4595, root_relative_squared_error: 1.2329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.897, kappa: 0.876, kb_relative_information_score: 531.6912, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.911, predictive_accuracy: 0.8967, prior_entropy: 2.585, recall: 0.8967, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7123, kappa: 0.66, kb_relative_information_score: 412.7015, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.7124, predictive_accuracy: 0.7167, prior_entropy: 2.585, recall: 0.7167, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.985, kappa: 0.982, kb_relative_information_score: 590.0842, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 2.585, recall: 0.985, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8587, kappa: 0.832, kb_relative_information_score: 507.4525, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.867, predictive_accuracy: 0.86, prior_entropy: 2.585, recall: 0.86, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.216, root_relative_squared_error: 0.5797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 585.6772, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9791, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.085, root_relative_squared_error: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.364, kappa: 0.316, kb_relative_information_score: 223.1996, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.3317, predictive_accuracy: 0.43, prior_entropy: 2.585, recall: 0.43, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.1696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.94, kappa: 0.928, kb_relative_information_score: 560.3368, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 2.585, recall: 0.94, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.3489, kappa: 0.236, kb_relative_information_score: 179.1294, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.3375, predictive_accuracy: 0.3633, prior_entropy: 2.585, recall: 0.3633, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.2361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9246, kappa: 0.91, kb_relative_information_score: 550.421, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9261, predictive_accuracy: 0.925, prior_entropy: 2.585, recall: 0.925, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8892, kappa: 0.868, kb_relative_information_score: 527.2841, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8916, predictive_accuracy: 0.89, prior_entropy: 2.585, recall: 0.89, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7708, kappa: 0.718, kb_relative_information_score: 444.6525, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8161, predictive_accuracy: 0.765, prior_entropy: 2.585, recall: 0.765, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7744, kappa: 0.724, kb_relative_information_score: 447.9577, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8159, predictive_accuracy: 0.77, prior_entropy: 2.585, recall: 0.77, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8095, kappa: 0.772, kb_relative_information_score: 474.3999, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8091, predictive_accuracy: 0.81, prior_entropy: 2.585, recall: 0.81, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.6753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.3419, kappa: 0.356, kb_relative_information_score: 245.2347, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.3743, predictive_accuracy: 0.4633, prior_entropy: 2.585, recall: 0.4633, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.423, root_relative_squared_error: 1.1349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9817, kappa: 0.978, kb_relative_information_score: 587.8807, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9733, kappa: 0.968, kb_relative_information_score: 582.3719, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9741, predictive_accuracy: 0.9733, prior_entropy: 2.585, recall: 0.9733, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9833, kappa: 0.98, kb_relative_information_score: 588.9824, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 2.585, recall: 0.9833, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.3892, kappa: 0.308, kb_relative_information_score: 218.7926, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.3961, predictive_accuracy: 0.4233, prior_entropy: 2.585, recall: 0.4233, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.5984, kappa: 0.476, kb_relative_information_score: 311.34, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8283, predictive_accuracy: 0.5633, prior_entropy: 2.585, recall: 0.5633, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3815, root_relative_squared_error: 1.0237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9115, kappa: 0.894, kb_relative_information_score: 541.607, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9208, predictive_accuracy: 0.9117, prior_entropy: 2.585, recall: 0.9117, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8046, kappa: 0.764, kb_relative_information_score: 469.9928, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8377, predictive_accuracy: 0.8033, prior_entropy: 2.585, recall: 0.8033, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.256, root_relative_squared_error: 0.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8351, kappa: 0.806, kb_relative_information_score: 493.1297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8523, predictive_accuracy: 0.8383, prior_entropy: 2.585, recall: 0.8383, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.6229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7695, kappa: 0.716, kb_relative_information_score: 443.5507, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.816, predictive_accuracy: 0.7633, prior_entropy: 2.585, recall: 0.7633, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9933, kappa: 0.992, kb_relative_information_score: 595.593, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 2.585, recall: 0.9933, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9366, kappa: 0.924, kb_relative_information_score: 558.1333, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.938, predictive_accuracy: 0.9367, prior_entropy: 2.585, recall: 0.9367, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8767, kappa: 0.852, kb_relative_information_score: 518.4701, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8768, predictive_accuracy: 0.8767, prior_entropy: 2.585, recall: 0.8767, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9817, kappa: 0.978, kb_relative_information_score: 587.8807, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.3336, kappa: 0.202, kb_relative_information_score: 160.3995, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.3339, predictive_accuracy: 0.335, prior_entropy: 2.585, recall: 0.335, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.985, kappa: 0.982, kb_relative_information_score: 590.0842, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 2.585, recall: 0.985, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8556, kappa: 0.828, kb_relative_information_score: 505.249, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8636, predictive_accuracy: 0.8567, prior_entropy: 2.585, recall: 0.8567, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.995, kappa: 0.994, kb_relative_information_score: 596.6947, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 2.585, recall: 0.995, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9536, kappa: 0.944, kb_relative_information_score: 569.1508, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9567, predictive_accuracy: 0.9533, prior_entropy: 2.585, recall: 0.9533, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.836, kappa: 0.804, kb_relative_information_score: 492.028, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8478, predictive_accuracy: 0.8367, prior_entropy: 2.585, recall: 0.8367, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9666, kappa: 0.96, kb_relative_information_score: 577.9649, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 2.585, recall: 0.9667, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.3345, kappa: 0.218, kb_relative_information_score: 169.2136, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.3256, predictive_accuracy: 0.3483, prior_entropy: 2.585, recall: 0.3483, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4661, root_relative_squared_error: 1.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.2686, kappa: 0.14, kb_relative_information_score: 126.2451, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.7382, predictive_accuracy: 0.2833, prior_entropy: 2.585, recall: 0.2833, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9163, kappa: 0.9, kb_relative_information_score: 544.9122, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9177, predictive_accuracy: 0.9167, prior_entropy: 2.585, recall: 0.9167, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7731, kappa: 0.722, kb_relative_information_score: 446.856, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8157, predictive_accuracy: 0.7683, prior_entropy: 2.585, recall: 0.7683, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7718, kappa: 0.72, kb_relative_information_score: 445.7542, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8152, predictive_accuracy: 0.7667, prior_entropy: 2.585, recall: 0.7667, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7957, kappa: 0.754, kb_relative_information_score: 464.4841, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8342, predictive_accuracy: 0.795, prior_entropy: 2.585, recall: 0.795, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, kappa: -0.2, kb_relative_information_score: -61.0534, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.2778, number_of_instances: 600, prior_entropy: 2.585, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.5492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, kappa: -0.2, kb_relative_information_score: -61.0534, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.2778, number_of_instances: 600, prior_entropy: 2.585, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.5492,

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