Task
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 165211 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

165211 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, kb_relative_information_score: 83.8982, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: 139.7307, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -23.0657, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -0.3439, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -21.9146, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 37.4515, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4068, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, kb_relative_information_score: 71.7079, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.8752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -88.6317, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0587, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.6984, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4055, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: -26.4406, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -13.9601, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 6.3635, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -30.0744, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.8071, kappa: 0.404, kb_relative_information_score: 128.9426, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8058, predictive_accuracy: 0.8084, prior_entropy: 0.734, recall: 0.8084, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 8.0279, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 2.0049, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.8739, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.405, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -6.0505, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 5.2364, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8276, kappa: 0.4996, kb_relative_information_score: 88.0971, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8412, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 3.8365, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.7272, kappa: 0.0749, kb_relative_information_score: 87.0989, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7231, predictive_accuracy: 0.7874, prior_entropy: 0.734, recall: 0.7874, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -262.2752, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.2023, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 0.5689, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, kb_relative_information_score: -115.4304, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0783, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, kb_relative_information_score: -32.5525, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.81, kappa: 0.4161, kb_relative_information_score: 128.9063, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8097, predictive_accuracy: 0.8103, prior_entropy: 0.734, recall: 0.8103, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 9.5893, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -254.6629, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1949, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -147.7798, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1031, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: -202.5947, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1481, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 14.0173, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 57.774, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4115, root_relative_squared_error: 1.0193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, kb_relative_information_score: 55.0653, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, kb_relative_information_score: 58.5857, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.357, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7688, kappa: 0.2308, kb_relative_information_score: 14.4321, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7652, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -42.9121, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 7.0394, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 13.5842, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 7.532, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -22.496, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -42.3315, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.027, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.8093, kappa: 0.4463, kb_relative_information_score: 58.9162, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.8813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -59.4168, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0385, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 1.2846, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7644, kappa: 0.2161, kb_relative_information_score: 109.4242, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7594, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 2.3111, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.8199, kappa: 0.4228, kb_relative_information_score: 84.7891, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -33.718, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0213, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 11.5861, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7565, kappa: 0.2647, kb_relative_information_score: 10.911, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7606, predictive_accuracy: 0.7529, prior_entropy: 0.734, recall: 0.7529, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.44, root_relative_squared_error: 1.0899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -33.626, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 59.4955, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4334, f_measure: 0.3969, kappa: -0.0726, kb_relative_information_score: -671.5044, mean_absolute_error: 0.6418, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6156, predictive_accuracy: 0.3582, prior_entropy: 0.734, recall: 0.3582, relative_absolute_error: 1.965, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8011, root_relative_squared_error: 1.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -28.7091, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -0.318, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 32.1806, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7954, kappa: 0.3575, kb_relative_information_score: 96.5927, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7915, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, kb_relative_information_score: 32.6009, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3828, f_measure: 0.7154, kappa: 0.1075, kb_relative_information_score: -16.9665, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7093, predictive_accuracy: 0.7222, prior_entropy: 0.734, recall: 0.7222, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5255, root_relative_squared_error: 1.3017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -24.6065, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -156.4766, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1098, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -183.1312, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1462, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -10.6235, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 11.7677, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8369, kappa: 0.4987, kb_relative_information_score: 129.8586, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8366, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -4.8357, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 3.2115, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7266, kappa: 0.0717, kb_relative_information_score: 12.0768, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.741, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.6757, kappa: 0.0032, kb_relative_information_score: -338.3502, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6751, predictive_accuracy: 0.6762, prior_entropy: 0.734, recall: 0.6762, relative_absolute_error: 1.3935, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.543, root_relative_squared_error: 1.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.8325, kappa: 0.473, kb_relative_information_score: 155.6809, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8296, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -97.3839, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0657, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 3.0048, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -1.4735, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7961, kappa: 0.4255, kb_relative_information_score: 78.4663, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8204, predictive_accuracy: 0.7835, prior_entropy: 0.734, recall: 0.7835, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 12.0757, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 103.6728, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 7.2645, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.8336, kappa: 0.4967, kb_relative_information_score: 112.4224, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8363, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.8753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -10.1972, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8209, kappa: 0.4476, kb_relative_information_score: 98.0736, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.82, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.345, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -10.8276, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 2.563, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 132.5634, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.6056, kappa: 0.0318, kb_relative_information_score: -287.2351, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6873, predictive_accuracy: 0.5651, prior_entropy: 0.734, recall: 0.5651, relative_absolute_error: 1.3315, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6594, root_relative_squared_error: 1.6335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -5.112, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 8.1962, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -98.2993, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0656, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -225.2956, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1719, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4168, root_relative_squared_error: 1.0324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -9.9049, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.8218, kappa: 0.4478, kb_relative_information_score: 115.3871, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8202, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.8328, kappa: 0.4658, kb_relative_information_score: 142.4447, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8299, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.351, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 10.3895, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.794, kappa: 0.3095, kb_relative_information_score: 158.3812, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8074, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.8185, kappa: 0.4648, kb_relative_information_score: 116.2789, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8278, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 22.1199, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, kb_relative_information_score: 59.538, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.8851,

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