Task
Supervised Classification on bank-marketing

Supervised Classification on bank-marketing

Task 14965 Supervised Classification bank-marketing 40465 runs submitted
1 likes downloaded by 5 people , 7 total downloads 0 issues
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_50 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.8836, kappa: 0.3726, kb_relative_information_score: 0.3675, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8832, 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: 0.6636, f_measure: 0.8861, kappa: 0.3986, kb_relative_information_score: 0.3585, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.883, predictive_accuracy: 0.898, prior_entropy: 0.5206, recall: 0.898, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.8894, kappa: 0.4238, kb_relative_information_score: 0.3632, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8858, 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: 0.6803, f_measure: 0.8898, kappa: 0.4255, kb_relative_information_score: 0.3674, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8865, 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: 0.6493, f_measure: 0.781, kappa: 0.1937, kb_relative_information_score: -0.6148, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8441, predictive_accuracy: 0.7433, prior_entropy: 0.5206, recall: 0.7433, relative_absolute_error: 1.2425, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.5764,
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: 0.6621, 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: 0.6852, 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: 0.683, 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: 0.6534, 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: 0.597, 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: 0.6506, 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: 0.6567, 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: 0.6833, 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: 0.6391, 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: 0.6533, f_measure: 0.8849, kappa: 0.3851, kb_relative_information_score: 0.364, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.883, 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: 0.6691, f_measure: 0.8864, kappa: 0.4046, kb_relative_information_score: 0.3532, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8829, predictive_accuracy: 0.8972, prior_entropy: 0.5206, recall: 0.8972, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.889, kappa: 0.4217, kb_relative_information_score: 0.3619, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8855, predictive_accuracy: 0.8986, prior_entropy: 0.5206, recall: 0.8986, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.8901, kappa: 0.4273, kb_relative_information_score: 0.3686, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8868, 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: 0.6345, f_measure: 0.8807, kappa: 0.3529, kb_relative_information_score: 0.3593, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8809, 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: 0.6798, f_measure: 0.889, kappa: 0.4222, kb_relative_information_score: 0.3603, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8854, 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: 0.6852, f_measure: 0.8903, kappa: 0.4311, kb_relative_information_score: 0.3647, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8867, 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: 0.6848, f_measure: 0.8911, kappa: 0.4334, kb_relative_information_score: 0.372, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8877, predictive_accuracy: 0.9002, prior_entropy: 0.5206, recall: 0.9002, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.316, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.8843, kappa: 0.3826, kb_relative_information_score: 0.3592, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.882, 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: 0.6408, f_measure: 0.8829, kappa: 0.3665, kb_relative_information_score: 0.3676, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.883, 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: 0.649, f_measure: 0.8844, kappa: 0.3795, kb_relative_information_score: 0.3668, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8833, 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: 0.6581, f_measure: 0.8864, kappa: 0.3948, kb_relative_information_score: 0.37, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8846, 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: 0.6467, f_measure: 0.8837, kappa: 0.3749, kb_relative_information_score: 0.3643, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8826, 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: 0.65, f_measure: 0.884, kappa: 0.379, kb_relative_information_score: 0.3614, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8822, predictive_accuracy: 0.8985, prior_entropy: 0.5206, recall: 0.8985, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9914,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.8847, kappa: 0.3825, kb_relative_information_score: 0.3658, 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: 0.4879, 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: 0.686, 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: 0.6862, 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: 0.6502, 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: 0.6424, 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: 0.6562, 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: 0.6499, 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: 0.6776, f_measure: 0.8757, kappa: 0.3792, kb_relative_information_score: 0.2441, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8724, predictive_accuracy: 0.8798, prior_entropy: 0.5206, recall: 0.8798, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3467, root_relative_squared_error: 1.0786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.8909, kappa: 0.4368, kb_relative_information_score: 0.3636, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8872, 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: 0.6554, f_measure: 0.8355, kappa: 0.267, kb_relative_information_score: -0.1086, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8505, predictive_accuracy: 0.8238, prior_entropy: 0.5206, recall: 0.8238, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.3062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.8843, kappa: 0.3794, kb_relative_information_score: 0.3657, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.883, 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: 0.6725, f_measure: 0.8881, kappa: 0.4131, kb_relative_information_score: 0.3631, 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: 0.4901, 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: 0.6595, f_measure: 0.8871, kappa: 0.3984, kb_relative_information_score: 0.374, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8854, predictive_accuracy: 0.9005, prior_entropy: 0.5206, recall: 0.9005, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, f_measure: 0.8834, kappa: 0.3745, kb_relative_information_score: 0.3618, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8821, predictive_accuracy: 0.8985, prior_entropy: 0.5206, recall: 0.8985, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.991,
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,
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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,
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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,
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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: 0.6455, 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: 0.6759, f_measure: 0.8896, kappa: 0.4211, kb_relative_information_score: 0.3715, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8866, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.8887, kappa: 0.4178, kb_relative_information_score: 0.3635, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8853, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.829, kappa: 0.0083, kb_relative_information_score: -3923.2433, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8105, predictive_accuracy: 0.8813, prior_entropy: 0.5207, recall: 0.8813, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.837, kappa: 0.0554, kb_relative_information_score: 3220.0769, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8821, predictive_accuracy: 0.8862, prior_entropy: 0.5207, recall: 0.8862, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.273, root_relative_squared_error: 0.8494, scimark_benchmark: 1852.0126, usercpu_time_millis: 24.838, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 23.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8989, kappa: 0.4775, kb_relative_information_score: 8220.7495, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8962, predictive_accuracy: 0.9064, prior_entropy: 0.5207, recall: 0.9064, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.7868, scimark_benchmark: 1735.9375, usercpu_time_millis: 87.531, usercpu_time_millis_testing: 4.166, usercpu_time_millis_training: 83.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8282, kb_relative_information_score: 2457.6905, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.8883, scimark_benchmark: 1736.4563, usercpu_time_millis: 118.459, usercpu_time_millis_testing: 11.184, usercpu_time_millis_training: 107.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8282, kb_relative_information_score: -718.5556, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8871, scimark_benchmark: 1854.4951, usercpu_time_millis: 139.015, usercpu_time_millis_testing: 2.144, usercpu_time_millis_training: 136.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8282, kb_relative_information_score: 2405.4818, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.275, root_relative_squared_error: 0.8557, scimark_benchmark: 1848.8462, usercpu_time_millis: 184.22, usercpu_time_millis_testing: 13.94, usercpu_time_millis_training: 170.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8282, kb_relative_information_score: 3814.7466, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8455, scimark_benchmark: 1740.9178, usercpu_time_millis: 86.799, usercpu_time_millis_testing: 7.753, usercpu_time_millis_training: 79.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8983, kappa: 0.4705, kb_relative_information_score: 8983.1202, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8959, predictive_accuracy: 0.9069, prior_entropy: 0.5207, recall: 0.9069, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.7812, scimark_benchmark: 1736.5144, usercpu_time_millis: 115.599, usercpu_time_millis_testing: 4.679, usercpu_time_millis_training: 110.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8658, kappa: 0.2476, kb_relative_information_score: 4479.3603, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8751, predictive_accuracy: 0.8941, prior_entropy: 0.5207, recall: 0.8941, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8352, scimark_benchmark: 1092.653, usercpu_time_millis: 134.223, usercpu_time_millis_testing: 8.379, usercpu_time_millis_training: 125.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8332, kappa: 0.0319, kb_relative_information_score: 4090.3351, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8691, predictive_accuracy: 0.8845, prior_entropy: 0.5207, recall: 0.8845, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8457, scimark_benchmark: 1735.5975, usercpu_time_millis: 146.031, usercpu_time_millis_testing: 12.517, usercpu_time_millis_training: 133.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8479, kappa: 0.1252, kb_relative_information_score: 3904.0326, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.883, predictive_accuracy: 0.8902, prior_entropy: 0.5207, recall: 0.8902, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.8626, scimark_benchmark: 1743.7328, usercpu_time_millis: 46.07, usercpu_time_millis_testing: 3.115, usercpu_time_millis_training: 42.955,

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

OpenML bootcamp

From your own software

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

OpenML APIs