OpenML
Supervised Classification on fri_c0_250_5

Supervised Classification on fri_c0_250_5

Task 3642 Supervised Classification fri_c0_250_5 640 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7919, kappa: 0.584, kb_relative_information_score: 112.6439, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7923, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8031, scimark_benchmark: 1340.9446, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 137.7858, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.651, scimark_benchmark: 1342.8632, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7465, kappa: 0.496, kb_relative_information_score: 95.6192, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7539, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8726, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 93.5607, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.406, root_relative_squared_error: 0.812, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 188, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043, scimark_benchmark: 1340.5125, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7465, kappa: 0.496, kb_relative_information_score: 95.6192, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7539, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8726, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 93.5607, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.406, root_relative_squared_error: 0.812, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7465, kappa: 0.496, kb_relative_information_score: 95.6192, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7539, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8726, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 93.5607, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.406, root_relative_squared_error: 0.812, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7465, kappa: 0.496, kb_relative_information_score: 95.6192, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7539, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8726, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 93.5607, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.406, root_relative_squared_error: 0.812, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 128.306, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.347, root_relative_squared_error: 0.694, scimark_benchmark: 1345.6844, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7919, kappa: 0.584, kb_relative_information_score: 112.6439, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7923, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8031, scimark_benchmark: 1343.3311, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7465, kappa: 0.496, kb_relative_information_score: 95.6192, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7539, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8726, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.7959, kappa: 0.592, kb_relative_information_score: 111.0916, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7965, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.741, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.7759, kappa: 0.552, kb_relative_information_score: 122.9264, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7766, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7711, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 188, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043, scimark_benchmark: 1313.11, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 93.5607, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.406, root_relative_squared_error: 0.812, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8318, kappa: 0.664, kb_relative_information_score: 118.9681, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8334, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.352, root_relative_squared_error: 0.704, scimark_benchmark: 1339.4412, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 128.306, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.347, root_relative_squared_error: 0.694, scimark_benchmark: 1324.6442, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 97.5929, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 80.8216, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7745, scimark_benchmark: 1348.8637, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, scimark_benchmark: 1311.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 120.2937, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743, scimark_benchmark: 896.937, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7354, kappa: 0.472, kb_relative_information_score: 76.7875, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7382, predictive_accuracy: 0.736, prior_entropy: 1, recall: 0.736, relative_absolute_error: 0.7299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8448, scimark_benchmark: 912.7324, usercpu_time_millis: 220, usercpu_time_millis_testing: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8159, kappa: 0.632, kb_relative_information_score: 147.421, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8167, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.734, scimark_benchmark: 1319.4881, usercpu_time_millis: 730, usercpu_time_millis_testing: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 765.566, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1340.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.3972, kappa: 0.032, kb_relative_information_score: 2.3508, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5757, predictive_accuracy: 0.516, prior_entropy: 1, recall: 0.516, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.7759, kappa: 0.552, kb_relative_information_score: 122.9264, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7766, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7711, scimark_benchmark: 1249.4068, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8317, kappa: 0.664, kb_relative_information_score: 77.8714, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8341, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7842, scimark_benchmark: 1299.9482, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 132.8251, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6943, scimark_benchmark: 1332.6143, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 188, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043, scimark_benchmark: 855.8522, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.736, kappa: 0.472, kb_relative_information_score: 109.322, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7361, predictive_accuracy: 0.736, prior_entropy: 1, recall: 0.736, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9071, scimark_benchmark: 1340.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.736, kappa: 0.472, kb_relative_information_score: 109.322, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7361, predictive_accuracy: 0.736, prior_entropy: 1, recall: 0.736, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9071, scimark_benchmark: 934.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7465, kappa: 0.496, kb_relative_information_score: 95.6192, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7539, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8726, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.7788, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6994, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 117.8344, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7124, scimark_benchmark: 1313.9606,

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