Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 16997 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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16997 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9543, kappa: 0.9522, kb_relative_information_score: 16.6744, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.955, predictive_accuracy: 0.9541, prior_entropy: 4.7004, recall: 0.9541, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9127, kappa: 0.909, kb_relative_information_score: 7050.2268, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9133, predictive_accuracy: 0.9125, prior_entropy: 4.7004, recall: 0.9125, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 60.1166, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, kappa: 0.227, kb_relative_information_score: 2322.4811, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2568, prior_entropy: 4.7004, recall: 0.2568, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9393, kappa: 0.9369, kb_relative_information_score: 6967.6508, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9395, predictive_accuracy: 0.9393, prior_entropy: 4.7004, recall: 0.9393, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.3821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, kappa: 0.0057, kb_relative_information_score: 136.5036, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0439, prior_entropy: 4.7004, recall: 0.0439, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9358, kappa: 0.9333, kb_relative_information_score: 6925.8391, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 4.7004, recall: 0.9359, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.3921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9354, kappa: 0.9329, kb_relative_information_score: 6815.5379, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9357, predictive_accuracy: 0.9355, prior_entropy: 4.7004, recall: 0.9355, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9297, kappa: 0.9269, kb_relative_information_score: 6957.2421, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9299, predictive_accuracy: 0.9297, prior_entropy: 4.7004, recall: 0.9297, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.075, root_relative_squared_error: 0.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.8831, kappa: 0.8781, kb_relative_information_score: 6944.3411, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.884, predictive_accuracy: 0.8828, prior_entropy: 4.7004, recall: 0.8828, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.081, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9182, kappa: 0.9141, kb_relative_information_score: 6971.6537, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9227, predictive_accuracy: 0.9174, prior_entropy: 4.7004, recall: 0.9174, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.076, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8933, kappa: 0.8889, kb_relative_information_score: 6873.3376, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8941, predictive_accuracy: 0.8932, prior_entropy: 4.7004, recall: 0.8932, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9171, kappa: 0.9138, kb_relative_information_score: 32.0159, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9179, predictive_accuracy: 0.9171, prior_entropy: 4.7004, recall: 0.9171, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9241, kappa: 0.921, kb_relative_information_score: 6929.1996, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9244, predictive_accuracy: 0.9241, prior_entropy: 4.7004, recall: 0.9241, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.3964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9326, kappa: 0.93, kb_relative_information_score: 6740.1785, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9331, predictive_accuracy: 0.9327, prior_entropy: 4.7004, recall: 0.9327, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.4313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8305, kappa: 0.8222, kb_relative_information_score: 6176.3147, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.834, predictive_accuracy: 0.829, prior_entropy: 4.7004, recall: 0.829, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8799, kappa: 0.8758, kb_relative_information_score: 23.8538, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8815, predictive_accuracy: 0.8806, prior_entropy: 4.7004, recall: 0.8806, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8666, kappa: 0.8607, kb_relative_information_score: 6017.9555, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8706, predictive_accuracy: 0.8661, prior_entropy: 4.7004, recall: 0.8661, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9281, kappa: 0.9253, kb_relative_information_score: 6892.7938, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9285, predictive_accuracy: 0.9282, prior_entropy: 4.7004, recall: 0.9282, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9006, kappa: 0.8965, kb_relative_information_score: 6863.7442, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9013, predictive_accuracy: 0.9005, prior_entropy: 4.7004, recall: 0.9005, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9427, kappa: 0.9404, kb_relative_information_score: 7038.4172, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 4.7004, recall: 0.9427, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.8633, kappa: 0.8553, kb_relative_information_score: 5741.2638, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8785, predictive_accuracy: 0.8608, prior_entropy: 4.7004, recall: 0.8608, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9195, kappa: 0.9162, kb_relative_information_score: 6836.9049, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9201, predictive_accuracy: 0.9195, prior_entropy: 4.7004, recall: 0.9195, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.976, kappa: 0.9751, kb_relative_information_score: 7513.1178, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 4.7004, recall: 0.976, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.2163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9205, kappa: 0.9173, kb_relative_information_score: 6963.4871, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.921, predictive_accuracy: 0.9205, prior_entropy: 4.7004, recall: 0.9205, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9257, kappa: 0.9226, kb_relative_information_score: 7027.3288, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.926, predictive_accuracy: 0.9256, prior_entropy: 4.7004, recall: 0.9256, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.3787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9366, kappa: 0.934, kb_relative_information_score: 7378.2173, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9369, predictive_accuracy: 0.9365, prior_entropy: 4.7004, recall: 0.9365, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9438, kappa: 0.9416, kb_relative_information_score: 56.8153, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 4.7004, recall: 0.9438, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9055, kappa: 0.9017, kb_relative_information_score: 6931.6389, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9061, predictive_accuracy: 0.9055, prior_entropy: 4.7004, recall: 0.9055, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.91, kappa: 0.9062, kb_relative_information_score: 6900.9433, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9108, predictive_accuracy: 0.9098, prior_entropy: 4.7004, recall: 0.9098, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.4101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9214, kappa: 0.9182, kb_relative_information_score: 6890.8459, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9219, predictive_accuracy: 0.9214, prior_entropy: 4.7004, recall: 0.9214, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.4064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9141, kappa: 0.9108, kb_relative_information_score: 7202.7541, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 4.7004, recall: 0.9142, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.3834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9385, kappa: 0.9361, kb_relative_information_score: 6875.0451, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9387, predictive_accuracy: 0.9386, prior_entropy: 4.7004, recall: 0.9386, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.4015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.928, kappa: 0.9252, kb_relative_information_score: 6885.0993, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9284, predictive_accuracy: 0.928, prior_entropy: 4.7004, recall: 0.928, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9278, kappa: 0.9249, kb_relative_information_score: 6959.9192, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9282, predictive_accuracy: 0.9278, prior_entropy: 4.7004, recall: 0.9278, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, kappa: 0.1855, kb_relative_information_score: 2266.4082, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2169, prior_entropy: 4.7004, recall: 0.2169, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.9524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9589, kappa: 0.9573, kb_relative_information_score: 55.435, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.959, predictive_accuracy: 0.959, prior_entropy: 4.7004, recall: 0.959, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8819, kappa: 0.8772, kb_relative_information_score: 8.9565, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8876, predictive_accuracy: 0.8819, prior_entropy: 4.7004, recall: 0.8819, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8995, kappa: 0.8954, kb_relative_information_score: 6762.7766, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9006, predictive_accuracy: 0.8994, prior_entropy: 4.7004, recall: 0.8994, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9366, kappa: 0.9341, kb_relative_information_score: 7022.4215, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9369, predictive_accuracy: 0.9366, prior_entropy: 4.7004, recall: 0.9366, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.3759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.945, kappa: 0.9428, kb_relative_information_score: 25.9772, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9453, predictive_accuracy: 0.945, prior_entropy: 4.7004, recall: 0.945, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9346, kappa: 0.9321, kb_relative_information_score: 22.5446, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9365, predictive_accuracy: 0.9347, prior_entropy: 4.7004, recall: 0.9347, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8227, kappa: 0.8143, kb_relative_information_score: 5882.0943, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8293, predictive_accuracy: 0.8215, prior_entropy: 4.7004, recall: 0.8215, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.117, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9605, kappa: 0.9589, kb_relative_information_score: 37.1529, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 4.7004, recall: 0.9605, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.7062, kappa: 0.7035, kb_relative_information_score: 5969.4031, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7227, predictive_accuracy: 0.7149, prior_entropy: 4.7004, recall: 0.7149, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, kappa: 0.1525, kb_relative_information_score: 917.4152, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1851, prior_entropy: 4.7004, recall: 0.1851, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9056, kappa: 0.9017, kb_relative_information_score: 6848.4525, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9064, predictive_accuracy: 0.9055, prior_entropy: 4.7004, recall: 0.9055, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9334, kappa: 0.9306, kb_relative_information_score: 7091.225, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9337, predictive_accuracy: 0.9333, prior_entropy: 4.7004, recall: 0.9333, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.3611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9544, kappa: 0.9526, kb_relative_information_score: 26.0373, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9552, predictive_accuracy: 0.9545, prior_entropy: 4.7004, recall: 0.9545, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9374, kappa: 0.935, kb_relative_information_score: 22.8677, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9389, predictive_accuracy: 0.9375, prior_entropy: 4.7004, recall: 0.9375, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.975, kappa: 0.974, kb_relative_information_score: 7509.0737, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 4.7004, recall: 0.975, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.042, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.8125, kappa: 0.8149, kb_relative_information_score: 6079.898, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8504, predictive_accuracy: 0.822, prior_entropy: 4.7004, recall: 0.822, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.6782, kappa: 0.5954, kb_relative_information_score: 347.3732, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8917, predictive_accuracy: 0.611, prior_entropy: 4.7004, recall: 0.611, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.4321, kappa: 0.4347, kb_relative_information_score: 2436.4189, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.615, predictive_accuracy: 0.4565, prior_entropy: 4.7004, recall: 0.4565, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.9415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9502, kappa: 0.948, kb_relative_information_score: 15.741, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9509, predictive_accuracy: 0.95, prior_entropy: 4.7004, recall: 0.95, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9149, kappa: 0.9114, kb_relative_information_score: 6877.3801, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9154, predictive_accuracy: 0.9148, prior_entropy: 4.7004, recall: 0.9148, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9468, kappa: 0.9445, kb_relative_information_score: 7433.2318, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9475, predictive_accuracy: 0.9466, prior_entropy: 4.7004, recall: 0.9466, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.2928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9176, kappa: 0.9142, kb_relative_information_score: 7233.7142, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9186, predictive_accuracy: 0.9175, prior_entropy: 4.7004, recall: 0.9175, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8737, kappa: 0.8706, kb_relative_information_score: 9.9554, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8823, predictive_accuracy: 0.8756, prior_entropy: 4.7004, recall: 0.8756, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.914, kappa: 0.9105, kb_relative_information_score: 6743.4499, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9147, predictive_accuracy: 0.9139, prior_entropy: 4.7004, recall: 0.9139, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.084, root_relative_squared_error: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9064, kappa: 0.9026, kb_relative_information_score: 6759.6099, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9073, predictive_accuracy: 0.9064, prior_entropy: 4.7004, recall: 0.9064, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.4359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.918, kappa: 0.9148, kb_relative_information_score: 6872.6083, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9184, predictive_accuracy: 0.918, prior_entropy: 4.7004, recall: 0.918, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9274, kappa: 0.9245, kb_relative_information_score: 6720.228, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9277, predictive_accuracy: 0.9274, prior_entropy: 4.7004, recall: 0.9274, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.084, root_relative_squared_error: 0.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9548, kappa: 0.953, kb_relative_information_score: 38.2874, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9552, predictive_accuracy: 0.9549, prior_entropy: 4.7004, recall: 0.9549, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.766, kappa: 0.7679, kb_relative_information_score: 15.4616, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7765, predictive_accuracy: 0.7768, prior_entropy: 4.7004, recall: 0.7768, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.93, kappa: 0.9272, kb_relative_information_score: 6958.7498, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9305, predictive_accuracy: 0.93, prior_entropy: 4.7004, recall: 0.93, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9273, kappa: 0.9242, kb_relative_information_score: 7139.1669, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9286, predictive_accuracy: 0.9272, prior_entropy: 4.7004, recall: 0.9272, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8986, kappa: 0.8944, kb_relative_information_score: 6741.2779, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8998, predictive_accuracy: 0.8984, prior_entropy: 4.7004, recall: 0.8984, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9508, kappa: 0.9489, kb_relative_information_score: 27.1113, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9515, predictive_accuracy: 0.9509, prior_entropy: 4.7004, recall: 0.9509, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9583, kappa: 0.9566, kb_relative_information_score: 48.3231, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 4.7004, recall: 0.9583, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9074, kappa: 0.9037, kb_relative_information_score: 6868.1974, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.908, predictive_accuracy: 0.9074, prior_entropy: 4.7004, recall: 0.9074, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, kappa: 0.2182, kb_relative_information_score: 3.2084, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2483, prior_entropy: 4.7004, recall: 0.2483, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7076, kappa: 0.7124, kb_relative_information_score: 6.5538, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7488, predictive_accuracy: 0.7235, prior_entropy: 4.7004, recall: 0.7235, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9207, kappa: 0.9174, kb_relative_information_score: 6828.8774, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9212, predictive_accuracy: 0.9206, prior_entropy: 4.7004, recall: 0.9206, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9004, kappa: 0.8964, kb_relative_information_score: 6868.2448, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9013, predictive_accuracy: 0.9003, prior_entropy: 4.7004, recall: 0.9003, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.4215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, kappa: 0.2118, kb_relative_information_score: 3.2203, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2421, prior_entropy: 4.7004, recall: 0.2421, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9132, kappa: 0.9097, kb_relative_information_score: 6846.3707, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9137, predictive_accuracy: 0.9132, prior_entropy: 4.7004, recall: 0.9132, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.916, kappa: 0.9126, kb_relative_information_score: 6972.6409, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9166, predictive_accuracy: 0.916, prior_entropy: 4.7004, recall: 0.916, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9593, kappa: 0.9576, kb_relative_information_score: 27.2712, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9597, predictive_accuracy: 0.9592, prior_entropy: 4.7004, recall: 0.9592, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.7839, kappa: 0.7855, kb_relative_information_score: 14.6136, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7915, predictive_accuracy: 0.7938, prior_entropy: 4.7004, recall: 0.7938, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9209, kappa: 0.9182, kb_relative_information_score: 14.0856, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.925, predictive_accuracy: 0.9214, prior_entropy: 4.7004, recall: 0.9214, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9363, kappa: 0.9338, kb_relative_information_score: 6991.2494, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9366, predictive_accuracy: 0.9364, prior_entropy: 4.7004, recall: 0.9364, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9232, kappa: 0.9201, kb_relative_information_score: 6997.293, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9235, predictive_accuracy: 0.9232, prior_entropy: 4.7004, recall: 0.9232, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.074, root_relative_squared_error: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9446, kappa: 0.9422, kb_relative_information_score: 7387.9509, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9453, predictive_accuracy: 0.9445, prior_entropy: 4.7004, recall: 0.9445, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8622, kappa: 0.8533, kb_relative_information_score: 6061.805, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8755, predictive_accuracy: 0.8589, prior_entropy: 4.7004, recall: 0.8589, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.5707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, kappa: 0.2058, kb_relative_information_score: 2221.8679, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2364, prior_entropy: 4.7004, recall: 0.2364, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9093, kappa: 0.9056, kb_relative_information_score: 6864.5709, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9098, predictive_accuracy: 0.9092, prior_entropy: 4.7004, recall: 0.9092, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9636, kappa: 0.9621, kb_relative_information_score: 49.7776, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 4.7004, recall: 0.9636, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9329, kappa: 0.9302, kb_relative_information_score: 6947.5177, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9332, predictive_accuracy: 0.9329, prior_entropy: 4.7004, recall: 0.9329, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9483, kappa: 0.9462, kb_relative_information_score: 30.9526, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.949, predictive_accuracy: 0.9483, prior_entropy: 4.7004, recall: 0.9483, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8653, kappa: 0.8607, kb_relative_information_score: 12.4912, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8691, predictive_accuracy: 0.8661, prior_entropy: 4.7004, recall: 0.8661, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9384, kappa: 0.936, kb_relative_information_score: 6889.8049, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9386, predictive_accuracy: 0.9384, prior_entropy: 4.7004, recall: 0.9384, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9438, kappa: 0.9414, kb_relative_information_score: 7409.2406, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9442, predictive_accuracy: 0.9437, prior_entropy: 4.7004, recall: 0.9437, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9167, kappa: 0.9133, kb_relative_information_score: 6945.623, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9172, predictive_accuracy: 0.9166, prior_entropy: 4.7004, recall: 0.9166, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8357, kappa: 0.8305, kb_relative_information_score: 7.4121, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8437, predictive_accuracy: 0.837, prior_entropy: 4.7004, recall: 0.837, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9255, kappa: 0.9225, kb_relative_information_score: 6796.0417, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9258, predictive_accuracy: 0.9255, prior_entropy: 4.7004, recall: 0.9255, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9177, kappa: 0.9142, kb_relative_information_score: 7105.8627, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9192, predictive_accuracy: 0.9175, prior_entropy: 4.7004, recall: 0.9175, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.075, root_relative_squared_error: 0.3902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9257, kappa: 0.9228, kb_relative_information_score: 6973.7142, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.926, predictive_accuracy: 0.9257, prior_entropy: 4.7004, recall: 0.9257, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.3891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9251, kappa: 0.9221, kb_relative_information_score: 6767.4057, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9257, predictive_accuracy: 0.9251, prior_entropy: 4.7004, recall: 0.9251, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9074, kappa: 0.9036, kb_relative_information_score: 6736.377, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9082, predictive_accuracy: 0.9073, prior_entropy: 4.7004, recall: 0.9073, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.4407,

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