Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91457 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 0.5415, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, weighted_recall: 0.8528, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9911, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, unweighted_recall: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8377, kappa: 0.6706, kb_relative_information_score: 0.628, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4939, weighted_recall: 0.8382, number_of_instances: 1372, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 0.9911, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6523, unweighted_recall: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9745, kappa: 0.9486, kb_relative_information_score: 0.6167, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9745, number_of_instances: 1372, precision: 0.9753, predictive_accuracy: 0.9745, prior_entropy: 0.9911, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5053, unweighted_recall: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9745, kappa: 0.9486, kb_relative_information_score: 0.6167, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9745, number_of_instances: 1372, precision: 0.9753, predictive_accuracy: 0.9745, prior_entropy: 0.9911, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5053, unweighted_recall: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9745, kappa: 0.9486, kb_relative_information_score: 0.6167, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9745, number_of_instances: 1372, precision: 0.9753, predictive_accuracy: 0.9745, prior_entropy: 0.9911, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5053, unweighted_recall: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 0.9718, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9862, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9911, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2368, unweighted_recall: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.6521, kappa: 0.3176, kb_relative_information_score: 0.2219, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4939, weighted_recall: 0.6531, number_of_instances: 1372, precision: 0.6742, predictive_accuracy: 0.6531, prior_entropy: 0.9911, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9372, unweighted_recall: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, unweighted_recall: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9869, number_of_instances: 1372, precision: 0.9872, predictive_accuracy: 0.9869, prior_entropy: 0.9911, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305, unweighted_recall: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9956, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.1536, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9516, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4939, weighted_recall: 1, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1423, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 0.6467, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9694, number_of_instances: 1372, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.9911, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5042, unweighted_recall: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 0.9777, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9891, number_of_instances: 1372, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9911, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2104, unweighted_recall: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9786, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9978, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.1162, unweighted_recall: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 0.965, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4939, weighted_recall: 0.992, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9911, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.1612, unweighted_recall: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9889, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9985, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0374, root_relative_squared_error: 0.0753, unweighted_recall: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.98, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9978, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, relative_absolute_error: 0.0241, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1069, unweighted_recall: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9897, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9993, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.0634, unweighted_recall: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9799, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9971, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1108, unweighted_recall: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9876, kappa: 0.9748, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9878, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, unweighted_recall: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9913, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9911, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.1699, unweighted_recall: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9553, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9978, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.1419, unweighted_recall: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 0.6673, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9708, number_of_instances: 1372, precision: 0.9712, predictive_accuracy: 0.9708, prior_entropy: 0.9911, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.4897, unweighted_recall: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 0.9866, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9934, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9911, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.081, root_relative_squared_error: 0.163, unweighted_recall: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.98, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9964, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1202, unweighted_recall: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 0.9607, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9898, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9911, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.1733, unweighted_recall: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9898, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4939, weighted_recall: 1, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0293, root_relative_squared_error: 0.0589, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.977, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9978, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1167, unweighted_recall: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, weighted_recall: 1, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, root_mean_prior_squared_error: 0.4969, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9869, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9911, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305, unweighted_recall: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9793, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9956, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.1252, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 0.9621, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9927, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9911, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.1623, unweighted_recall: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, weighted_recall: 1, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, root_mean_prior_squared_error: 0.4969, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9869, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9911, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305, unweighted_recall: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9956, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1255, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 0.9601, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9913, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9911, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1754, unweighted_recall: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.1756, unweighted_recall: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, weighted_recall: 1, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, root_mean_prior_squared_error: 0.4969, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9869, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9911, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305, unweighted_recall: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9793, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9956, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.1252, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 0.9703, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9949, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9911, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.143, unweighted_recall: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, weighted_recall: 0.5554, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9852, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9993, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.0888, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9966, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9993, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0166, root_relative_squared_error: 0.0334, unweighted_recall: 0.9993,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1752, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9898, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9911, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1794, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.9328, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2141, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9467, kappa: 0.8918, kb_relative_information_score: 0.5674, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9468, number_of_instances: 1372, precision: 0.9472, predictive_accuracy: 0.9468, prior_entropy: 0.9911, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5576, unweighted_recall: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.976, kappa: 0.9515, kb_relative_information_score: 0.8395, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9759, number_of_instances: 1372, precision: 0.9766, predictive_accuracy: 0.9759, prior_entropy: 0.9911, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3008, unweighted_recall: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8295, kappa: 0.6568, kb_relative_information_score: 0.2032, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4939, weighted_recall: 0.836, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.836, prior_entropy: 0.9911, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8528, unweighted_recall: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8295, kappa: 0.6568, kb_relative_information_score: 0.2032, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4939, weighted_recall: 0.836, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.836, prior_entropy: 0.9911, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8528, unweighted_recall: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1752, unweighted_recall: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.9328, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2141, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.9325, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2158, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.932, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, weighted_recall: 0.981, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.981, prior_entropy: 0.9911, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, unweighted_recall: 0.9824,

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