OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142880 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1917.698, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1917.698, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.7792, kappa: 0.5034, kb_relative_information_score: 1068.9309, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8497, predictive_accuracy: 0.8047, prior_entropy: 0.9313, recall: 0.8047, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1924.5985, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.5833, kappa: 0.078, kb_relative_information_score: 84.453, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5823, predictive_accuracy: 0.5842, prior_entropy: 0.9313, recall: 0.5842, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6448, root_relative_squared_error: 1.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.6437, kappa: 0.2141, kb_relative_information_score: 348.9739, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.644, predictive_accuracy: 0.6435, prior_entropy: 0.9313, recall: 0.6435, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5971, root_relative_squared_error: 1.2546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9634, kappa: 0.9192, kb_relative_information_score: 1777.3869, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9313, recall: 0.9634, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9203, kappa: 0.8246, kb_relative_information_score: 1584.1716, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9207, predictive_accuracy: 0.9201, prior_entropy: 0.9313, recall: 0.9201, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9772, kappa: 0.9493, kb_relative_information_score: 1839.4918, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9779, predictive_accuracy: 0.9773, prior_entropy: 0.9313, recall: 0.9773, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.5806, kappa: 0.0743, kb_relative_information_score: 68.3517, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5806, predictive_accuracy: 0.5806, prior_entropy: 0.9313, recall: 0.5806, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6476, root_relative_squared_error: 1.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8416, kappa: 0.6512, kb_relative_information_score: 1232.2438, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.842, predictive_accuracy: 0.8413, prior_entropy: 0.9313, recall: 0.8413, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1938.3996, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1922.2984, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9313, recall: 0.9959, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1349,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6315, f_measure: 0.6908, kappa: 0.318, kb_relative_information_score: 799.8096, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8163, predictive_accuracy: 0.7445, prior_entropy: 0.9313, recall: 0.7445, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9877, kappa: 0.9729, kb_relative_information_score: 1885.4955, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9879, predictive_accuracy: 0.9876, prior_entropy: 0.9313, recall: 0.9876, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.8871, kappa: 0.745, kb_relative_information_score: 1462.262, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9079, predictive_accuracy: 0.8928, prior_entropy: 0.9313, recall: 0.8928, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6878,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.8202, kappa: 0.5932, kb_relative_information_score: 1195.4409, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8506, predictive_accuracy: 0.8331, prior_entropy: 0.9313, recall: 0.8331, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8585,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1924.5985, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6983, kappa: 0.3368, kb_relative_information_score: 588.1928, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6997, predictive_accuracy: 0.6971, prior_entropy: 0.9313, recall: 0.6971, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9866, kappa: 0.9705, kb_relative_information_score: 1880.8951, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9867, predictive_accuracy: 0.9866, prior_entropy: 0.9313, recall: 0.9866, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 1931.4991, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.0954,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1924.5985, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.5827, kappa: 0.0777, kb_relative_information_score: 79.8526, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5822, predictive_accuracy: 0.5832, prior_entropy: 0.9313, recall: 0.5832, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6456, root_relative_squared_error: 1.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1938.3996, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9907, kappa: 0.9794, kb_relative_information_score: 1899.2965, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 0.9313, recall: 0.9907, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.2023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1938.3996, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9428, kappa: 0.8739, kb_relative_information_score: 1685.3796, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9429, predictive_accuracy: 0.9428, prior_entropy: 0.9313, recall: 0.9428, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8298, kappa: 0.6263, kb_relative_information_score: 1177.0394, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.831, predictive_accuracy: 0.829, prior_entropy: 0.9313, recall: 0.829, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9681, kappa: 0.9295, kb_relative_information_score: 1798.0885, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9313, recall: 0.9681, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9923, kappa: 0.983, kb_relative_information_score: 1906.1971, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9313, recall: 0.9923, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.5234, kappa: 0.0116, kb_relative_information_score: 406.4785, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7748, predictive_accuracy: 0.6564, prior_entropy: 0.9313, recall: 0.6564, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5862, root_relative_squared_error: 1.2317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1933.7993, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.0826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9758, kappa: 0.9465, kb_relative_information_score: 1832.5913, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 0.9313, recall: 0.9758, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8969, kappa: 0.7722, kb_relative_information_score: 1480.6634, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8968, predictive_accuracy: 0.897, prior_entropy: 0.9313, recall: 0.897, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1917.698, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5222, kappa: 0.0097, kb_relative_information_score: 404.1783, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7746, predictive_accuracy: 0.6558, prior_entropy: 0.9313, recall: 0.6558, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1924.5985, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, f_measure: 0.5626, kappa: 0.0336, kb_relative_information_score: -9.8545, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5622, predictive_accuracy: 0.5631, prior_entropy: 0.9313, recall: 0.5631, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.661, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9876, kappa: 0.9727, kb_relative_information_score: 1885.4955, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9313, recall: 0.9876, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1922.2984, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9313, recall: 0.9959, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, f_measure: 0.5168, kappa: -0.0653, kb_relative_information_score: -219.171, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5174, predictive_accuracy: 0.5162, prior_entropy: 0.9313, recall: 0.5162, relative_absolute_error: 1.0678, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6955, root_relative_squared_error: 1.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1933.7993, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.0826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1933.7993, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.0826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5311, f_measure: 0.5753, kappa: 0.0622, kb_relative_information_score: 45.3499, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5752, predictive_accuracy: 0.5755, prior_entropy: 0.9313, recall: 0.5755, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9876, kappa: 0.9725, kb_relative_information_score: 1885.4955, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9879, predictive_accuracy: 0.9876, prior_entropy: 0.9313, recall: 0.9876, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9737, kappa: 0.9419, kb_relative_information_score: 1823.3905, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.9313, recall: 0.9737, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.7251, kappa: 0.3882, kb_relative_information_score: 898.7174, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.828, predictive_accuracy: 0.7666, prior_entropy: 0.9313, recall: 0.7666, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1910.7975, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9938, kappa: 0.9863, kb_relative_information_score: 1913.0976, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.1652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9065, kappa: 0.794, kb_relative_information_score: 1522.0667, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9068, predictive_accuracy: 0.9062, prior_entropy: 0.9313, recall: 0.9062, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9928, kappa: 0.984, kb_relative_information_score: 1908.4973, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9943, kappa: 0.9875, kb_relative_information_score: 1915.3978, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.9313, recall: 0.9943, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.6512, kappa: 0.24, kb_relative_information_score: 694.0012, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8044, predictive_accuracy: 0.7208, prior_entropy: 0.9313, recall: 0.7208, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5284, root_relative_squared_error: 1.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1910.7975, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1933.7993, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.0826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.5763, kappa: 0.0668, kb_relative_information_score: 45.3499, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5773, predictive_accuracy: 0.5755, prior_entropy: 0.9313, recall: 0.5755, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.6522, kappa: 0.2346, kb_relative_information_score: 383.4766, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6533, predictive_accuracy: 0.6512, prior_entropy: 0.9313, recall: 0.6512, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5906, root_relative_squared_error: 1.2409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1926.8987, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.1168,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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Download this task directly in your environment and automatically upload your results

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

OpenML APIs