Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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113807 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.884, kappa: 0.718, kb_relative_information_score: 0.7013, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8836, predictive_accuracy: 0.8851, prior_entropy: 0.8732, recall: 0.8851, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8822, kappa: 0.7137, kb_relative_information_score: 0.6965, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8818, predictive_accuracy: 0.8832, prior_entropy: 0.8732, recall: 0.8832, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8845, kappa: 0.7196, kb_relative_information_score: 0.7018, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.884, predictive_accuracy: 0.8853, prior_entropy: 0.8732, recall: 0.8853, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.885, kappa: 0.722, kb_relative_information_score: 0.5634, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8848, predictive_accuracy: 0.8853, prior_entropy: 0.8732, recall: 0.8853, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.6358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8907, kappa: 0.736, kb_relative_information_score: 0.6196, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8905, predictive_accuracy: 0.8908, prior_entropy: 0.8732, recall: 0.8908, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9029, kappa: 0.7637, kb_relative_information_score: 0.7499, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9026, predictive_accuracy: 0.9038, prior_entropy: 0.8732, recall: 0.9038, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8979, kappa: 0.7522, kb_relative_information_score: 0.7364, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8976, predictive_accuracy: 0.8986, prior_entropy: 0.8732, recall: 0.8986, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8934, kappa: 0.7427, kb_relative_information_score: 0.647, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8933, predictive_accuracy: 0.8934, prior_entropy: 0.8732, recall: 0.8934, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9033, kappa: 0.7655, kb_relative_information_score: 0.7429, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9031, predictive_accuracy: 0.904, prior_entropy: 0.8732, recall: 0.904, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8621, kappa: 0.6683, kb_relative_information_score: 0.4884, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8625, predictive_accuracy: 0.8618, prior_entropy: 0.8732, recall: 0.8618, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8748, kappa: 0.6975, kb_relative_information_score: 0.5945, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8746, predictive_accuracy: 0.8751, prior_entropy: 0.8732, recall: 0.8751, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7109, kappa: 0.2886, kb_relative_information_score: 0.2567, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7066, predictive_accuracy: 0.7184, prior_entropy: 0.8732, recall: 0.7184, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8533, kappa: 0.6449, kb_relative_information_score: 0.5375, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8528, predictive_accuracy: 0.854, prior_entropy: 0.8732, recall: 0.854, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7851, kappa: 0.4849, kb_relative_information_score: 0.4166, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7865, predictive_accuracy: 0.7839, prior_entropy: 0.8732, recall: 0.7839, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.875, kappa: 0.698, kb_relative_information_score: 0.5651, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8748, predictive_accuracy: 0.8753, prior_entropy: 0.8732, recall: 0.8753, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8797, kappa: 0.7088, kb_relative_information_score: 0.5944, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8793, predictive_accuracy: 0.8801, prior_entropy: 0.8732, recall: 0.8801, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8707, kappa: 0.6872, kb_relative_information_score: 0.5493, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8704, predictive_accuracy: 0.8712, prior_entropy: 0.8732, recall: 0.8712, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8702, kappa: 0.6866, kb_relative_information_score: 0.5671, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8701, predictive_accuracy: 0.8705, prior_entropy: 0.8732, recall: 0.8705, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.8235, kappa: 0.5781, kb_relative_information_score: 0.5173, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8254, predictive_accuracy: 0.8222, prior_entropy: 0.8732, recall: 0.8222, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8474, kappa: 0.645, kb_relative_information_score: 0.5919, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8585, predictive_accuracy: 0.8434, prior_entropy: 0.8732, recall: 0.8434, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9072, kappa: 0.7757, kb_relative_information_score: 0.7473, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.907, predictive_accuracy: 0.9075, prior_entropy: 0.8732, recall: 0.9075, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.5762, kappa: 0.0498, kb_relative_information_score: -0.1452, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6074, predictive_accuracy: 0.5594, prior_entropy: 0.8732, recall: 0.5594, relative_absolute_error: 1.0624, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6638, root_relative_squared_error: 1.4577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5389, kappa: 0.0859, kb_relative_information_score: -0.2516, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6334, predictive_accuracy: 0.5198, prior_entropy: 0.8732, recall: 0.5198, relative_absolute_error: 1.1616, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6908, root_relative_squared_error: 1.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7697, kappa: 0.4445, kb_relative_information_score: 0.292, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7696, predictive_accuracy: 0.7698, prior_entropy: 0.8732, recall: 0.7698, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9062, kappa: 0.7732, kb_relative_information_score: 0.7471, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.906, predictive_accuracy: 0.9064, prior_entropy: 0.8732, recall: 0.9064, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9051, kappa: 0.771, kb_relative_information_score: 0.668, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9051, predictive_accuracy: 0.9053, prior_entropy: 0.8732, recall: 0.9053, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9013, kappa: 0.7612, kb_relative_information_score: 0.6843, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.901, predictive_accuracy: 0.9016, prior_entropy: 0.8732, recall: 0.9016, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9083, kappa: 0.7785, kb_relative_information_score: 0.7161, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9082, predictive_accuracy: 0.9084, prior_entropy: 0.8732, recall: 0.9084, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.7994, kappa: 0.5097, kb_relative_information_score: 0.2975, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7978, predictive_accuracy: 0.8026, prior_entropy: 0.8732, recall: 0.8026, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7722, kappa: 0.462, kb_relative_information_score: 0.2914, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7784, predictive_accuracy: 0.7683, prior_entropy: 0.8732, recall: 0.7683, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8744, kappa: 0.6961, kb_relative_information_score: 0.5214, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8741, predictive_accuracy: 0.8749, prior_entropy: 0.8732, recall: 0.8749, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8709, kappa: 0.6895, kb_relative_information_score: 0.5715, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8713, predictive_accuracy: 0.8707, prior_entropy: 0.8732, recall: 0.8707, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8869, kappa: 0.7274, kb_relative_information_score: 0.6078, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.887, predictive_accuracy: 0.8869, prior_entropy: 0.8732, recall: 0.8869, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8802, kappa: 0.7114, kb_relative_information_score: 0.6131, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8803, predictive_accuracy: 0.8801, prior_entropy: 0.8732, recall: 0.8801, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9057, kappa: 0.7722, kb_relative_information_score: 0.6939, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9055, predictive_accuracy: 0.9058, prior_entropy: 0.8732, recall: 0.9058, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8753, kappa: 0.6991, kb_relative_information_score: 0.5657, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8752, predictive_accuracy: 0.8755, prior_entropy: 0.8732, recall: 0.8755, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9023, kappa: 0.764, kb_relative_information_score: 0.6532, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9022, predictive_accuracy: 0.9025, prior_entropy: 0.8732, recall: 0.9025, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.853, kappa: 0.6431, kb_relative_information_score: 0.4903, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8523, predictive_accuracy: 0.854, prior_entropy: 0.8732, recall: 0.854, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8421, kappa: 0.6151, kb_relative_information_score: 0.4453, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8412, predictive_accuracy: 0.844, prior_entropy: 0.8732, recall: 0.844, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7699, kappa: 0.4467, kb_relative_information_score: 0.2916, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7706, predictive_accuracy: 0.7692, prior_entropy: 0.8732, recall: 0.7692, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9062, kappa: 0.773, kb_relative_information_score: 0.7108, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.906, predictive_accuracy: 0.9066, prior_entropy: 0.8732, recall: 0.9066, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8746, kappa: 0.6973, kb_relative_information_score: 0.6341, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8745, predictive_accuracy: 0.8747, prior_entropy: 0.8732, recall: 0.8747, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8238, kappa: 0.5694, kb_relative_information_score: 0.423, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8227, predictive_accuracy: 0.8266, prior_entropy: 0.8732, recall: 0.8266, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.895, kappa: 0.7468, kb_relative_information_score: 0.6432, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.895, predictive_accuracy: 0.8951, prior_entropy: 0.8732, recall: 0.8951, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8873, kappa: 0.7283, kb_relative_information_score: 0.6086, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8873, predictive_accuracy: 0.8873, prior_entropy: 0.8732, recall: 0.8873, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8689, kappa: 0.6827, kb_relative_information_score: 0.4923, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8685, predictive_accuracy: 0.8694, prior_entropy: 0.8732, recall: 0.8694, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.729, kappa: 0.4331, kb_relative_information_score: 0.2626, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8022, predictive_accuracy: 0.7163, prior_entropy: 0.8732, recall: 0.7163, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.1697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.7662, kappa: 0.4707, kb_relative_information_score: 0.3652, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7913, predictive_accuracy: 0.7576, prior_entropy: 0.8732, recall: 0.7576, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7722, kappa: 0.462, kb_relative_information_score: 0.2913, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7784, predictive_accuracy: 0.7683, prior_entropy: 0.8732, recall: 0.7683, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8945, kappa: 0.7457, kb_relative_information_score: 0.6372, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8945, predictive_accuracy: 0.8945, prior_entropy: 0.8732, recall: 0.8945, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8705, kappa: 0.6878, kb_relative_information_score: 0.5785, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8705, predictive_accuracy: 0.8705, prior_entropy: 0.8732, recall: 0.8705, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8702, kappa: 0.686, kb_relative_information_score: 0.5584, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8698, predictive_accuracy: 0.8707, prior_entropy: 0.8732, recall: 0.8707, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8932, kappa: 0.7416, kb_relative_information_score: 0.5975, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8929, predictive_accuracy: 0.8936, prior_entropy: 0.8732, recall: 0.8936, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8839, kappa: 0.7193, kb_relative_information_score: 0.6066, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8836, predictive_accuracy: 0.8842, prior_entropy: 0.8732, recall: 0.8842, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.286, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9004, kappa: 0.7595, kb_relative_information_score: 0.6919, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9003, predictive_accuracy: 0.9004, prior_entropy: 0.8732, recall: 0.9004, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.876, kappa: 0.6994, kb_relative_information_score: 0.6538, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8756, predictive_accuracy: 0.8768, prior_entropy: 0.8732, recall: 0.8768, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8364, kappa: 0.6035, kb_relative_information_score: 0.4365, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8357, predictive_accuracy: 0.8372, prior_entropy: 0.8732, recall: 0.8372, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8967, kappa: 0.7505, kb_relative_information_score: 0.6769, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8966, predictive_accuracy: 0.8969, prior_entropy: 0.8732, recall: 0.8969, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.6104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8883, kappa: 0.7301, kb_relative_information_score: 0.6086, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8881, predictive_accuracy: 0.8886, prior_entropy: 0.8732, recall: 0.8886, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7697, kappa: 0.4445, kb_relative_information_score: 0.292, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7696, predictive_accuracy: 0.7698, prior_entropy: 0.8732, recall: 0.7698, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8838, kappa: 0.7175, kb_relative_information_score: 0.7008, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8834, predictive_accuracy: 0.8849, prior_entropy: 0.8732, recall: 0.8849, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8973, kappa: 0.7517, kb_relative_information_score: 0.6392, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8975, prior_entropy: 0.8732, recall: 0.8975, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8973, kappa: 0.7517, kb_relative_information_score: 0.6392, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8975, prior_entropy: 0.8732, recall: 0.8975, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8973, kappa: 0.7517, kb_relative_information_score: 0.6392, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8975, prior_entropy: 0.8732, recall: 0.8975, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8973, kappa: 0.7517, kb_relative_information_score: 0.6392, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8975, prior_entropy: 0.8732, recall: 0.8975, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8973, kappa: 0.7517, kb_relative_information_score: 0.6392, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8975, prior_entropy: 0.8732, recall: 0.8975, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8973, kappa: 0.7517, kb_relative_information_score: 0.6392, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8975, prior_entropy: 0.8732, recall: 0.8975, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.6278, kappa: 0.0774, kb_relative_information_score: 0.0696, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6183, predictive_accuracy: 0.6423, prior_entropy: 0.8732, recall: 0.6423, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5972, root_relative_squared_error: 1.3116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8973, kappa: 0.7517, kb_relative_information_score: 0.6392, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8975, prior_entropy: 0.8732, recall: 0.8975, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.8412, kappa: 0.6163, kb_relative_information_score: 0.5285, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8409, predictive_accuracy: 0.8416, prior_entropy: 0.8732, recall: 0.8416, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.903, kappa: 0.7655, kb_relative_information_score: 0.685, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9028, predictive_accuracy: 0.9032, prior_entropy: 0.8732, recall: 0.9032, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9103, kappa: 0.7833, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9102, predictive_accuracy: 0.9104, prior_entropy: 0.8732, recall: 0.9104, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.8823, kappa: 0.7145, kb_relative_information_score: 0.696, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8819, predictive_accuracy: 0.883, prior_entropy: 0.8732, recall: 0.883, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.342, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8973, kappa: 0.7517, kb_relative_information_score: 0.6392, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8975, prior_entropy: 0.8732, recall: 0.8975, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7699, kappa: 0.4467, kb_relative_information_score: 0.2916, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7706, predictive_accuracy: 0.7692, prior_entropy: 0.8732, recall: 0.7692, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8375, kappa: 0.6064, kb_relative_information_score: 0.4796, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8369, predictive_accuracy: 0.8383, prior_entropy: 0.8732, recall: 0.8383, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.888, kappa: 0.7301, kb_relative_information_score: 0.6149, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8881, predictive_accuracy: 0.8879, prior_entropy: 0.8732, recall: 0.8879, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.8839, kappa: 0.7178, kb_relative_information_score: 0.7008, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8835, predictive_accuracy: 0.8849, prior_entropy: 0.8732, recall: 0.8849, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8889, kappa: 0.7314, kb_relative_information_score: 0.6192, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8886, predictive_accuracy: 0.8892, prior_entropy: 0.8732, recall: 0.8892, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8988, kappa: 0.7545, kb_relative_information_score: 0.6334, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8984, predictive_accuracy: 0.8993, prior_entropy: 0.8732, recall: 0.8993, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8992, kappa: 0.7562, kb_relative_information_score: 0.6974, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.899, predictive_accuracy: 0.8995, prior_entropy: 0.8732, recall: 0.8995, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9028, kappa: 0.765, kb_relative_information_score: 0.699, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9026, predictive_accuracy: 0.903, prior_entropy: 0.8732, recall: 0.903, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9133, kappa: 0.7908, kb_relative_information_score: 0.769, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9132, predictive_accuracy: 0.9134, prior_entropy: 0.8732, recall: 0.9134, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.6461, kappa: 0.131, kb_relative_information_score: 0.0994, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6402, predictive_accuracy: 0.654, prior_entropy: 0.8732, recall: 0.654, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.583, root_relative_squared_error: 1.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7986, kappa: 0.5127, kb_relative_information_score: 0.3181, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.798, predictive_accuracy: 0.7994, prior_entropy: 0.8732, recall: 0.7994, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8957, kappa: 0.748, kb_relative_information_score: 0.6309, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8955, predictive_accuracy: 0.8958, prior_entropy: 0.8732, recall: 0.8958, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.867, kappa: 0.6771, kb_relative_information_score: 0.5286, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8664, predictive_accuracy: 0.8679, prior_entropy: 0.8732, recall: 0.8679, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8375, kappa: 0.6067, kb_relative_information_score: 0.4882, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.837, predictive_accuracy: 0.8381, prior_entropy: 0.8732, recall: 0.8381, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8968, kappa: 0.751, kb_relative_information_score: 0.6586, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8968, predictive_accuracy: 0.8969, prior_entropy: 0.8732, recall: 0.8969, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7723, kappa: 0.437, kb_relative_information_score: 0.4281, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7706, predictive_accuracy: 0.78, prior_entropy: 0.8732, recall: 0.78, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4691, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8839, kappa: 0.718, kb_relative_information_score: 0.7008, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8835, predictive_accuracy: 0.8849, prior_entropy: 0.8732, recall: 0.8849, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7717, kappa: 0.5015, kb_relative_information_score: 0.38, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8175, predictive_accuracy: 0.7615, prior_entropy: 0.8732, recall: 0.7615, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.7746, kappa: 0.445, kb_relative_information_score: 0.4295, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7724, predictive_accuracy: 0.7805, prior_entropy: 0.8732, recall: 0.7805, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8848, kappa: 0.7201, kb_relative_information_score: 0.7032, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8844, predictive_accuracy: 0.8858, prior_entropy: 0.8732, recall: 0.8858, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8827, kappa: 0.7152, kb_relative_information_score: 0.6975, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8823, predictive_accuracy: 0.8836, prior_entropy: 0.8732, recall: 0.8836, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7219, kappa: 0.4169, kb_relative_information_score: 0.2434, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.793, predictive_accuracy: 0.7089, prior_entropy: 0.8732, recall: 0.7089, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.7513, kappa: 0.4729, kb_relative_information_score: 0.3233, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8163, predictive_accuracy: 0.7396, prior_entropy: 0.8732, recall: 0.7396, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.7754, kappa: 0.4465, kb_relative_information_score: 0.4329, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7734, predictive_accuracy: 0.7818, prior_entropy: 0.8732, recall: 0.7818, relative_absolute_error: 0.526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.5792, kappa: 0.264, kb_relative_information_score: -0.1029, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7887, predictive_accuracy: 0.5757, prior_entropy: 0.8732, recall: 0.5757, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6514, root_relative_squared_error: 1.4305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1306.639, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.438,

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

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Use one of our APIs to download data from OpenML and upload your results

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