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: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1793.992, mean_absolute_error: 0.044, 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: 0.0971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9752, kappa: 0.9452, kb_relative_information_score: 1219.0194, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.9313, recall: 0.9753, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1919.643, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9139, kappa: 0.8067, kb_relative_information_score: 880.1141, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9196, predictive_accuracy: 0.916, prior_entropy: 0.9313, recall: 0.916, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8451, kappa: 0.6497, kb_relative_information_score: 657.3253, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8706, predictive_accuracy: 0.8547, prior_entropy: 0.9313, recall: 0.8547, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1879.0291, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.6013, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0017, root_relative_squared_error: 0.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1868.7253, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1933.2681, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0111, root_relative_squared_error: 0.0233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -28.6702, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -10.7288, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kb_relative_information_score: 63.53, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -59.8609, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -145.0821, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -131.6251, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 23.93, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 16.0052, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8109, kappa: 0.5733, kb_relative_information_score: 639.862, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8205, predictive_accuracy: 0.8192, prior_entropy: 0.9313, recall: 0.8192, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 8.398, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -4.0975, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.6881, kappa: 0.2948, kb_relative_information_score: 301.0969, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6919, predictive_accuracy: 0.7058, prior_entropy: 0.9313, recall: 0.7058, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -62.7493, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 3.4551, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -15.8567, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -144.9051, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 33.0344, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 48.5643, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 9.6334, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -68.4931, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -12.0651, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9214, kappa: 0.8284, kb_relative_information_score: 579.6847, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.924, predictive_accuracy: 0.9207, prior_entropy: 0.9313, recall: 0.9207, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 35.2562, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 61.7313, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.7941, kappa: 0.5348, kb_relative_information_score: 667.3139, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8047, prior_entropy: 0.9313, recall: 0.8047, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6628, kappa: 0.2377, kb_relative_information_score: 219.6999, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6738, predictive_accuracy: 0.6914, prior_entropy: 0.9313, recall: 0.6914, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8004, kappa: 0.5547, kb_relative_information_score: 971.9311, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8, predictive_accuracy: 0.8032, prior_entropy: 0.9313, recall: 0.8032, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 32.6891, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5489, kappa: 0.0011, kb_relative_information_score: -294.4529, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5478, predictive_accuracy: 0.6229, prior_entropy: 0.9313, recall: 0.6229, relative_absolute_error: 1.0884, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7097, kappa: 0.3437, kb_relative_information_score: 358.2452, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7156, predictive_accuracy: 0.7259, prior_entropy: 0.9313, recall: 0.7259, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -1.3732, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -154.9875, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.043, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 57.0684, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8862, kappa: 0.7491, kb_relative_information_score: 1068.5825, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8864, predictive_accuracy: 0.8861, prior_entropy: 0.9313, recall: 0.8861, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -135.8915, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0373, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 1.2027, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 12.8499, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -44.6999, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 5.9957, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6558, kappa: 0.2321, kb_relative_information_score: 276.0951, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6528, predictive_accuracy: 0.6605, prior_entropy: 0.9313, recall: 0.6605, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1915.0202, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0541, scimark_benchmark: 1289.815, usercpu_time_millis: 129.567, usercpu_time_millis_testing: 3.331, usercpu_time_millis_training: 126.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1845.9874, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.118, scimark_benchmark: 1273.9573, usercpu_time_millis: 9.715, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 9.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1907.882, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0308, root_relative_squared_error: 0.0647, scimark_benchmark: 1292.9562, usercpu_time_millis: 65.186, usercpu_time_millis_testing: 2.176, usercpu_time_millis_training: 63.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9767, kappa: 0.9483, kb_relative_information_score: 1162.2018, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 0.9313, recall: 0.9768, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5353, scimark_benchmark: 1313.6733, usercpu_time_millis: 68.827, usercpu_time_millis_testing: 5.059, usercpu_time_millis_training: 63.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9835, kappa: 0.9634, kb_relative_information_score: 1245.2486, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 0.9313, recall: 0.9835, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4921, scimark_benchmark: 1280.2763, usercpu_time_millis: 71.119, usercpu_time_millis_testing: 4.997, usercpu_time_millis_training: 66.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.161, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0069, root_relative_squared_error: 0.0145, scimark_benchmark: 1304.7094, usercpu_time_millis: 88.353, usercpu_time_millis_testing: 1.832, usercpu_time_millis_training: 86.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1545.4936, mean_absolute_error: 0.1152, 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: 0.2544, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3258, scimark_benchmark: 1291.2789, usercpu_time_millis: 85.845, usercpu_time_millis_testing: 4.67, usercpu_time_millis_training: 81.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9807, kb_relative_information_score: 1531.6818, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9313, recall: 0.9912, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3326, scimark_benchmark: 1286.6102, usercpu_time_millis: 71.643, usercpu_time_millis_testing: 4.119, usercpu_time_millis_training: 67.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.0596, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0011, root_relative_squared_error: 0.0024, scimark_benchmark: 1316.1614, usercpu_time_millis: 88.088, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 86.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9897, kappa: 0.9773, kb_relative_information_score: 1507.1995, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9313, recall: 0.9897, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3482, scimark_benchmark: 1300.98, usercpu_time_millis: 75.78, usercpu_time_millis_testing: 4.465, usercpu_time_millis_training: 71.315,

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