Task
Supervised Classification on bank-marketing

Supervised Classification on bank-marketing

Task 14965 Supervised Classification bank-marketing 39406 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_50 study_99
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39406 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.8885, kappa: 0.4142, kb_relative_information_score: 0.3665, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8854, predictive_accuracy: 0.8993, prior_entropy: 0.5206, recall: 0.8993, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.8879, kappa: 0.4132, kb_relative_information_score: 0.3603, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8845, predictive_accuracy: 0.8983, prior_entropy: 0.5206, recall: 0.8983, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.8865, kappa: 0.3966, kb_relative_information_score: 0.3682, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8844, predictive_accuracy: 0.8996, prior_entropy: 0.5206, recall: 0.8996, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.8858, kappa: 0.3914, kb_relative_information_score: 0.3668, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8838, predictive_accuracy: 0.8993, prior_entropy: 0.5206, recall: 0.8993, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.8927, kappa: 0.4463, kb_relative_information_score: 0.3745, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8893, predictive_accuracy: 0.9006, prior_entropy: 0.5206, recall: 0.9006, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.8845, kappa: 0.3819, kb_relative_information_score: 0.3643, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8829, predictive_accuracy: 0.8989, prior_entropy: 0.5206, recall: 0.8989, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.885, kappa: 0.3847, kb_relative_information_score: 0.367, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8835, predictive_accuracy: 0.8994, prior_entropy: 0.5206, recall: 0.8994, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.8866, kappa: 0.399, kb_relative_information_score: 0.3657, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8841, predictive_accuracy: 0.8992, prior_entropy: 0.5206, recall: 0.8992, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.884, kappa: 0.382, kb_relative_information_score: 0.3567, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8816, predictive_accuracy: 0.8977, prior_entropy: 0.5206, recall: 0.8977, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.8918, kappa: 0.4397, kb_relative_information_score: 0.3729, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8884, predictive_accuracy: 0.9003, prior_entropy: 0.5206, recall: 0.9003, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.8825, kappa: 0.3678, kb_relative_information_score: 0.3597, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8814, predictive_accuracy: 0.8982, prior_entropy: 0.5206, recall: 0.8982, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.319, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.8824, kappa: 0.3666, kb_relative_information_score: 0.3604, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8815, predictive_accuracy: 0.8983, prior_entropy: 0.5206, recall: 0.8983, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.8894, kappa: 0.4222, kb_relative_information_score: 0.366, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.886, predictive_accuracy: 0.8992, prior_entropy: 0.5206, recall: 0.8992, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.8881, kappa: 0.4178, kb_relative_information_score: 0.3546, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8843, predictive_accuracy: 0.8974, prior_entropy: 0.5206, recall: 0.8974, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.8833, kappa: 0.3751, kb_relative_information_score: 0.3582, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8815, predictive_accuracy: 0.898, prior_entropy: 0.5206, recall: 0.898, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.8912, kappa: 0.4383, kb_relative_information_score: 0.3664, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8877, predictive_accuracy: 0.8993, prior_entropy: 0.5206, recall: 0.8993, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.8832, kappa: 0.3717, kb_relative_information_score: 0.3629, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8822, predictive_accuracy: 0.8987, prior_entropy: 0.5206, recall: 0.8987, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.8901, kappa: 0.4268, kb_relative_information_score: 0.3686, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8867, predictive_accuracy: 0.8996, prior_entropy: 0.5206, recall: 0.8996, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.8849, kappa: 0.3853, kb_relative_information_score: 0.3649, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8832, predictive_accuracy: 0.899, prior_entropy: 0.5206, recall: 0.899, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.8884, kappa: 0.4147, kb_relative_information_score: 0.3642, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8851, predictive_accuracy: 0.8989, prior_entropy: 0.5206, recall: 0.8989, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.6612, kappa: 0.0813, kb_relative_information_score: -1.5937, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8268, predictive_accuracy: 0.5877, prior_entropy: 0.5206, recall: 0.5877, relative_absolute_error: 1.9957, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.6421, root_relative_squared_error: 1.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.8895, kappa: 0.4236, kb_relative_information_score: 0.3657, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8861, predictive_accuracy: 0.8992, prior_entropy: 0.5206, recall: 0.8992, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.8814, kappa: 0.3569, kb_relative_information_score: 0.3632, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8818, predictive_accuracy: 0.8988, prior_entropy: 0.5206, recall: 0.8988, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.8907, kappa: 0.4315, kb_relative_information_score: 0.3703, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8874, predictive_accuracy: 0.8999, prior_entropy: 0.5206, recall: 0.8999, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.8861, kappa: 0.3971, kb_relative_information_score: 0.3611, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8833, predictive_accuracy: 0.8984, prior_entropy: 0.5206, recall: 0.8984, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.8933, kappa: 0.4541, kb_relative_information_score: 0.37, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8898, predictive_accuracy: 0.8998, prior_entropy: 0.5206, recall: 0.8998, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.8895, kappa: 0.4201, kb_relative_information_score: 0.3711, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8864, predictive_accuracy: 0.9, prior_entropy: 0.5206, recall: 0.9, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.8355, kappa: 0.2528, kb_relative_information_score: -0.0927, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8468, predictive_accuracy: 0.8263, prior_entropy: 0.5206, recall: 0.8263, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.4168, root_relative_squared_error: 1.2968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8891, kappa: 0.4233, kb_relative_information_score: 0.3604, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8855, predictive_accuracy: 0.8983, prior_entropy: 0.5206, recall: 0.8983, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.8815, kappa: 0.3588, kb_relative_information_score: 0.3615, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8815, predictive_accuracy: 0.8985, prior_entropy: 0.5206, recall: 0.8985, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.8853, kappa: 0.3867, kb_relative_information_score: 0.3674, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8837, predictive_accuracy: 0.8994, prior_entropy: 0.5206, recall: 0.8994, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8906, kappa: 0.435, kb_relative_information_score: 0.3635, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.887, predictive_accuracy: 0.8988, prior_entropy: 0.5206, recall: 0.8988, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.8854, kappa: 0.3885, kb_relative_information_score: 0.3664, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8836, predictive_accuracy: 0.8993, prior_entropy: 0.5206, recall: 0.8993, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.8883, kappa: 0.4118, kb_relative_information_score: 0.3675, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8853, predictive_accuracy: 0.8994, prior_entropy: 0.5206, recall: 0.8994, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.8923, kappa: 0.4466, kb_relative_information_score: 0.3683, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8888, predictive_accuracy: 0.8996, prior_entropy: 0.5206, recall: 0.8996, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.8894, kappa: 0.4209, kb_relative_information_score: 0.3683, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8861, predictive_accuracy: 0.8996, prior_entropy: 0.5206, recall: 0.8996, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.8894, kappa: 0.42, kb_relative_information_score: 0.37, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8863, predictive_accuracy: 0.8998, prior_entropy: 0.5206, recall: 0.8998, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.8908, kappa: 0.4341, kb_relative_information_score: 0.3675, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8873, predictive_accuracy: 0.8994, prior_entropy: 0.5206, recall: 0.8994, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.8836, kappa: 0.3752, kb_relative_information_score: 0.3633, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8824, predictive_accuracy: 0.8988, prior_entropy: 0.5206, recall: 0.8988, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.886, kappa: 0.3946, kb_relative_information_score: 0.3639, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8835, predictive_accuracy: 0.8989, prior_entropy: 0.5206, recall: 0.8989, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.318, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.8881, kappa: 0.4113, kb_relative_information_score: 0.3656, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.885, predictive_accuracy: 0.8991, prior_entropy: 0.5206, recall: 0.8991, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.8899, kappa: 0.428, kb_relative_information_score: 0.3644, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8864, predictive_accuracy: 0.899, prior_entropy: 0.5206, recall: 0.899, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.8802, kappa: 0.35, kb_relative_information_score: 0.3579, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8805, predictive_accuracy: 0.8979, prior_entropy: 0.5206, recall: 0.8979, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.8796, kappa: 0.401, kb_relative_information_score: 0.2651, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8767, predictive_accuracy: 0.8832, prior_entropy: 0.5206, recall: 0.8832, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3418, root_relative_squared_error: 1.0635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.8841, kappa: 0.3805, kb_relative_information_score: 0.361, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8822, predictive_accuracy: 0.8984, prior_entropy: 0.5206, recall: 0.8984, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8901, kappa: 0.4268, kb_relative_information_score: 0.3696, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8868, predictive_accuracy: 0.8998, prior_entropy: 0.5206, recall: 0.8998, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.8839, kappa: 0.3783, kb_relative_information_score: 0.361, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8821, predictive_accuracy: 0.8984, prior_entropy: 0.5206, recall: 0.8984, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.8363, kappa: 0.2415, kb_relative_information_score: -0.0715, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8439, predictive_accuracy: 0.8297, prior_entropy: 0.5206, recall: 0.8297, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.2841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.89, kappa: 0.4289, kb_relative_information_score: 0.3647, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8865, predictive_accuracy: 0.899, prior_entropy: 0.5206, recall: 0.899, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.8881, kappa: 0.4095, kb_relative_information_score: 0.369, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8853, predictive_accuracy: 0.8997, prior_entropy: 0.5206, recall: 0.8997, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.8885, kappa: 0.4148, kb_relative_information_score: 0.3665, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8854, predictive_accuracy: 0.8993, prior_entropy: 0.5206, recall: 0.8993, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.883, kappa: 0.3687, kb_relative_information_score: 0.3661, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8828, predictive_accuracy: 0.8992, prior_entropy: 0.5206, recall: 0.8992, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.8886, kappa: 0.4165, kb_relative_information_score: 0.3651, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8854, predictive_accuracy: 0.8991, prior_entropy: 0.5206, recall: 0.8991, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.8845, kappa: 0.3808, kb_relative_information_score: 0.3664, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8832, predictive_accuracy: 0.8993, prior_entropy: 0.5206, recall: 0.8993, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.8863, kappa: 0.3926, kb_relative_information_score: 0.3717, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8847, predictive_accuracy: 0.9001, prior_entropy: 0.5206, recall: 0.9001, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.316, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.8848, kappa: 0.3819, kb_relative_information_score: 0.3682, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8836, predictive_accuracy: 0.8996, prior_entropy: 0.5206, recall: 0.8996, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.8836, kappa: 0.3736, kb_relative_information_score: 0.3658, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8829, predictive_accuracy: 0.8992, prior_entropy: 0.5206, recall: 0.8992, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.8843, kappa: 0.3803, kb_relative_information_score: 0.3644, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8829, predictive_accuracy: 0.899, prior_entropy: 0.5206, recall: 0.899, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.885, kappa: 0.3857, kb_relative_information_score: 0.3646, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8831, predictive_accuracy: 0.899, prior_entropy: 0.5206, recall: 0.899, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.8905, kappa: 0.43, kb_relative_information_score: 0.369, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8871, predictive_accuracy: 0.8997, prior_entropy: 0.5206, recall: 0.8997, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.8915, kappa: 0.442, kb_relative_information_score: 0.3636, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8879, predictive_accuracy: 0.8988, prior_entropy: 0.5206, recall: 0.8988, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.8881, kappa: 0.4133, kb_relative_information_score: 0.3629, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8848, predictive_accuracy: 0.8987, prior_entropy: 0.5206, recall: 0.8987, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.8359, kappa: 0.2499, kb_relative_information_score: -0.0849, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.846, predictive_accuracy: 0.8275, prior_entropy: 0.5206, recall: 0.8275, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.8898, kappa: 0.4278, kb_relative_information_score: 0.3626, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8862, predictive_accuracy: 0.8987, prior_entropy: 0.5206, recall: 0.8987, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.8857, kappa: 0.3911, kb_relative_information_score: 0.366, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8837, predictive_accuracy: 0.8992, prior_entropy: 0.5206, recall: 0.8992, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.8846, kappa: 0.3816, kb_relative_information_score: 0.366, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8832, predictive_accuracy: 0.8992, prior_entropy: 0.5206, recall: 0.8992, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.7518, kappa: 0.12, kb_relative_information_score: -0.8495, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8264, predictive_accuracy: 0.706, prior_entropy: 0.5206, recall: 0.706, relative_absolute_error: 1.4231, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.8861, kappa: 0.3972, kb_relative_information_score: 0.3603, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8832, predictive_accuracy: 0.8983, prior_entropy: 0.5206, recall: 0.8983, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.89, kappa: 0.4273, kb_relative_information_score: 0.3668, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8866, predictive_accuracy: 0.8993, prior_entropy: 0.5206, recall: 0.8993, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.8399, kappa: 0.2872, kb_relative_information_score: -0.0794, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8548, predictive_accuracy: 0.8284, prior_entropy: 0.5206, recall: 0.8284, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.2889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.8343, kappa: 0.2603, kb_relative_information_score: -0.1147, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.849, predictive_accuracy: 0.8228, prior_entropy: 0.5206, recall: 0.8228, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.421, root_relative_squared_error: 1.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.8804, kappa: 0.3508, kb_relative_information_score: 0.3587, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8807, predictive_accuracy: 0.8981, prior_entropy: 0.5206, recall: 0.8981, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.8869, kappa: 0.3998, kb_relative_information_score: 0.3681, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8845, predictive_accuracy: 0.8995, prior_entropy: 0.5206, recall: 0.8995, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.317, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.8852, kappa: 0.3859, kb_relative_information_score: 0.3682, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8838, predictive_accuracy: 0.8996, prior_entropy: 0.5206, recall: 0.8996, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.8801, kappa: 0.3487, kb_relative_information_score: 0.3592, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8808, predictive_accuracy: 0.8981, prior_entropy: 0.5206, recall: 0.8981, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.887, kappa: 0.4014, kb_relative_information_score: 0.3675, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8845, predictive_accuracy: 0.8994, prior_entropy: 0.5206, recall: 0.8994, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.8357, kappa: 0.2645, kb_relative_information_score: -0.1035, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8498, predictive_accuracy: 0.8246, prior_entropy: 0.5206, recall: 0.8246, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.3031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.8867, kappa: 0.4046, kb_relative_information_score: 0.3567, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8833, predictive_accuracy: 0.8977, prior_entropy: 0.5206, recall: 0.8977, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.995,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.8822, kappa: 0.3632, kb_relative_information_score: 0.3635, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.882, predictive_accuracy: 0.8988, prior_entropy: 0.5206, recall: 0.8988, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.8889, kappa: 0.4174, kb_relative_information_score: 0.3671, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8857, predictive_accuracy: 0.8994, prior_entropy: 0.5206, recall: 0.8994, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.8855, kappa: 0.3904, kb_relative_information_score: 0.364, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8833, predictive_accuracy: 0.8989, prior_entropy: 0.5206, recall: 0.8989, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.318, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8908, kappa: 0.434, kb_relative_information_score: 0.3675, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8873, predictive_accuracy: 0.8994, prior_entropy: 0.5206, recall: 0.8994, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.8917, kappa: 0.4394, kb_relative_information_score: 0.3715, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8883, predictive_accuracy: 0.9001, prior_entropy: 0.5206, recall: 0.9001, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.884, kappa: 0.3786, kb_relative_information_score: 0.3624, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8824, predictive_accuracy: 0.8986, prior_entropy: 0.5206, recall: 0.8986, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.7794, kappa: 0.1553, kb_relative_information_score: -0.6063, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8321, predictive_accuracy: 0.7446, prior_entropy: 0.5206, recall: 0.7446, relative_absolute_error: 1.2359, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.8852, kappa: 0.3865, kb_relative_information_score: 0.367, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8836, predictive_accuracy: 0.8994, prior_entropy: 0.5206, recall: 0.8994, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.8865, kappa: 0.3986, kb_relative_information_score: 0.3644, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8839, predictive_accuracy: 0.899, prior_entropy: 0.5206, recall: 0.899, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.8827, kappa: 0.3669, kb_relative_information_score: 0.365, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8825, predictive_accuracy: 0.8991, prior_entropy: 0.5206, recall: 0.8991, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.891, kappa: 0.4315, kb_relative_information_score: 0.3735, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8877, predictive_accuracy: 0.9004, prior_entropy: 0.5206, recall: 0.9004, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.8906, kappa: 0.4323, kb_relative_information_score: 0.3676, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8871, predictive_accuracy: 0.8995, prior_entropy: 0.5206, recall: 0.8995, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.884, kappa: 0.3786, kb_relative_information_score: 0.3631, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8825, predictive_accuracy: 0.8987, prior_entropy: 0.5206, recall: 0.8987, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.8349, kappa: 0.2744, kb_relative_information_score: -0.1225, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8527, predictive_accuracy: 0.8215, prior_entropy: 0.5206, recall: 0.8215, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.4224, root_relative_squared_error: 1.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.8842, kappa: 0.3793, kb_relative_information_score: 0.3638, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8827, predictive_accuracy: 0.8989, prior_entropy: 0.5206, recall: 0.8989, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.318, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.8843, kappa: 0.3798, kb_relative_information_score: 0.3654, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.883, predictive_accuracy: 0.8991, prior_entropy: 0.5206, recall: 0.8991, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.8829, kappa: 0.3679, kb_relative_information_score: 0.3649, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8825, predictive_accuracy: 0.899, prior_entropy: 0.5206, recall: 0.899, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.8874, kappa: 0.4096, kb_relative_information_score: 0.3593, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8841, predictive_accuracy: 0.8981, prior_entropy: 0.5206, recall: 0.8981, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.8908, kappa: 0.4337, kb_relative_information_score: 0.3679, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8873, predictive_accuracy: 0.8995, prior_entropy: 0.5206, recall: 0.8995, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.317, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.8911, kappa: 0.4343, kb_relative_information_score: 0.3704, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8876, predictive_accuracy: 0.8999, prior_entropy: 0.5206, recall: 0.8999, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.8853, kappa: 0.3892, kb_relative_information_score: 0.3629, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8831, predictive_accuracy: 0.8987, prior_entropy: 0.5206, recall: 0.8987, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.9902,

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