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: 0.8617, f_measure: 0.5163, kb_relative_information_score: 226.5557, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9102, scimark_benchmark: 1370.6041, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1880.8269, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0297, root_relative_squared_error: 0.0624, scimark_benchmark: 1370.6388, usercpu_time_millis: 10.148, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 9.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5163, kb_relative_information_score: -0.0924, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1365.6071, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1776.8564, mean_absolute_error: 0.05, 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: 0.1103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1748, scimark_benchmark: 1370.9752, usercpu_time_millis: 4.266, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 4.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9456, kappa: 0.8824, kb_relative_information_score: 1254.8044, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9515, predictive_accuracy: 0.9449, prior_entropy: 0.9313, recall: 0.9449, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.5042, scimark_benchmark: 1370.0918, usercpu_time_millis: 0.662, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1894.1319, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.0816, scimark_benchmark: 1370.7546, usercpu_time_millis: 25.691, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 24.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.1842, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0047, root_relative_squared_error: 0.0099, scimark_benchmark: 1335.8771, usercpu_time_millis: 18.399, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 17.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8567, kappa: 0.7052, kb_relative_information_score: 1083.2843, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8969, predictive_accuracy: 0.8532, prior_entropy: 0.9313, recall: 0.8532, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6494, scimark_benchmark: 1372.4707, usercpu_time_millis: 15.483, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 15.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 1625.5704, mean_absolute_error: 0.0944, 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: 0.2083, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.128, root_relative_squared_error: 0.269, scimark_benchmark: 1373.3405, usercpu_time_millis: 9.413, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 8.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1671.2426, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2477, scimark_benchmark: 1372.664, usercpu_time_millis: 3.631, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 3.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1915.2744, 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: 0.0181, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0209, root_relative_squared_error: 0.0438, scimark_benchmark: 1372.4281, usercpu_time_millis: 3.37, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 3.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.5163, kb_relative_information_score: 277.0579, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8872, scimark_benchmark: 1373.4555, usercpu_time_millis: 1.954, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.5163, kb_relative_information_score: -0.5556, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1373.761, usercpu_time_millis: 1.076, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.9618, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.9661, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9631, kappa: 0.919, kb_relative_information_score: 1593.3917, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9639, predictive_accuracy: 0.9629, prior_entropy: 0.9313, recall: 0.9629, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1924.8986, mean_absolute_error: 0.005, 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: 0.011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -6.0954, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0016, 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: 0.8034, f_measure: 0.6031, kappa: 0.1498, kb_relative_information_score: 235.3462, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7918, predictive_accuracy: 0.6945, prior_entropy: 0.9313, recall: 0.6945, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.639, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1936.3366, mean_absolute_error: 0.0012, 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: 0.0027, 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: 0.5226, f_measure: 0.5667, kappa: 0.0583, kb_relative_information_score: 7.833, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6132, predictive_accuracy: 0.6553, prior_entropy: 0.9313, recall: 0.6553, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.9707, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1936.2272, mean_absolute_error: 0.0012, 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: 0.0027, 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: 0.9988, f_measure: 0.9684, kappa: 0.931, kb_relative_information_score: 1725.0717, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9708, predictive_accuracy: 0.9681, prior_entropy: 0.9313, recall: 0.9681, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.308,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9863, kb_relative_information_score: 1899.7581, mean_absolute_error: 0.0101, 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: 0.0224, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1936.6821, mean_absolute_error: 0.0011, 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: 0.0024, 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: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1937.0313, mean_absolute_error: 0.0011, 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: 0.0024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.013, root_relative_squared_error: 0.0273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.1954, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0006, root_relative_squared_error: 0.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.6656, kappa: 0.2553, kb_relative_information_score: 321.9502, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6631, predictive_accuracy: 0.6692, prior_entropy: 0.9313, recall: 0.6692, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -6.0954, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0016, 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: 0.9992, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1936.3787, mean_absolute_error: 0.0012, 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: 0.0026, 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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.9463, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1936.6712, mean_absolute_error: 0.0011, 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: 0.0024, 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: 0.4978, kb_relative_information_score: -6.0954, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0016, 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: 0.9993, f_measure: 0.981, kappa: 0.9584, kb_relative_information_score: 1779.0043, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9818, predictive_accuracy: 0.9809, prior_entropy: 0.9313, recall: 0.9809, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.5707, kappa: 0.0326, kb_relative_information_score: -98.8122, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5624, predictive_accuracy: 0.5868, prior_entropy: 0.9313, recall: 0.5868, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1919.7087, mean_absolute_error: 0.0054, 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: 0.0119, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.047, root_relative_squared_error: 0.0988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9876, kappa: 0.9726, kb_relative_information_score: 1784.6498, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9313, recall: 0.9876, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6765, kappa: 0.2683, kb_relative_information_score: 310.4907, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6823, predictive_accuracy: 0.6981, prior_entropy: 0.9313, recall: 0.6981, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1936.3434, mean_absolute_error: 0.0012, 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: 0.0026, 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: 0.4978, kb_relative_information_score: -6.0953, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1725.6097, mean_absolute_error: 0.0646, 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: 0.1427, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.2128, scimark_benchmark: 1792.593, usercpu_time_millis: 16.492, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 15.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.6075, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0075, root_relative_squared_error: 0.0158, scimark_benchmark: 1801.1716, usercpu_time_millis: 20.585, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 20.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1626.0286, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.2694, scimark_benchmark: 1792.1161, usercpu_time_millis: 7.864, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 7.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1928.7566, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0137, root_relative_squared_error: 0.0287, scimark_benchmark: 1567.7171, usercpu_time_millis: 11.207, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 10.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9861, kappa: 0.9693, kb_relative_information_score: 1183.9065, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5151, scimark_benchmark: 1792.1161, usercpu_time_millis: 5.885, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 5.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1868.1705, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.0989, scimark_benchmark: 1805.9977, usercpu_time_millis: 2.777, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 2.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.983, kb_relative_information_score: 1413.2509, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9313, recall: 0.9923, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3904, scimark_benchmark: 1813.5062, usercpu_time_millis: 8.427, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 7.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1513.2147, mean_absolute_error: 0.1254, 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: 0.2767, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3358, scimark_benchmark: 1452.5305, usercpu_time_millis: 6.968, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 6.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1902.6373, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0285, root_relative_squared_error: 0.0599, scimark_benchmark: 1821.7922, usercpu_time_millis: 5.588, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 5.382,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5163, kb_relative_information_score: 0.1681, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1790.2345, usercpu_time_millis: 2.506, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 2.046,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs