Task
Supervised Classification on fri_c0_1000_10

Supervised Classification on fri_c0_1000_10

Task 3710 Supervised Classification fri_c0_1000_10 438 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: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 1322.7257, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.827, kappa: 0.6538, kb_relative_information_score: 436.951, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7145, scimark_benchmark: 1318.3027, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 1330.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.86, kappa: 0.7199, kb_relative_information_score: 570.7143, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9998, recall: 0.86, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551, scimark_benchmark: 1306.468, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1349.8336, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.867, kappa: 0.7339, kb_relative_information_score: 608.5118, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.867, predictive_accuracy: 0.867, prior_entropy: 0.9998, recall: 0.867, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6252, scimark_benchmark: 918.0213, usercpu_time_millis: 13450, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 13240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.859, kappa: 0.7179, kb_relative_information_score: 564.9129, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6324, scimark_benchmark: 942.9708, usercpu_time_millis: 390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.827, kappa: 0.6538, kb_relative_information_score: 436.951, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7145, scimark_benchmark: 1350.7721, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.867, kappa: 0.7339, kb_relative_information_score: 608.5118, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.867, predictive_accuracy: 0.867, prior_entropy: 0.9998, recall: 0.867, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6252, scimark_benchmark: 1322.3407, usercpu_time_millis: 10170, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.842, kappa: 0.6839, kb_relative_information_score: 538.1298, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9998, recall: 0.842, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.682, scimark_benchmark: 1330.3848, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8189, kappa: 0.6377, kb_relative_information_score: 454.9785, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8191, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7135, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 1333.202, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.827, kappa: 0.6538, kb_relative_information_score: 436.951, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7145, scimark_benchmark: 1336.0954, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8189, kappa: 0.6377, kb_relative_information_score: 454.9785, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8191, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7135, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 1342.8632, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.86, kappa: 0.7199, kb_relative_information_score: 570.7143, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9998, recall: 0.86, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551, scimark_benchmark: 1324.7884, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8169, kappa: 0.6337, kb_relative_information_score: 510.8099, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8173, predictive_accuracy: 0.817, prior_entropy: 0.9998, recall: 0.817, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238, scimark_benchmark: 1350.2591, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 1310.6554, usercpu_time_millis: 210, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7198, kappa: 0.4394, kb_relative_information_score: 439.7383, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 0.9998, recall: 0.72, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0585, usercpu_time_millis: 3.27, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 2.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.888, kappa: 0.7759, kb_relative_information_score: 775.8947, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9998, recall: 0.888, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6694, usercpu_time_millis: 162.39, usercpu_time_millis_testing: 9.607, usercpu_time_millis_training: 152.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 671.8463, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9998, recall: 0.836, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8101, usercpu_time_millis: 0.065, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.859, kappa: 0.7179, kb_relative_information_score: 717.8677, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7511, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.871, kappa: 0.7419, kb_relative_information_score: 741.8789, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 0.9998, recall: 0.871, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7184, usercpu_time_millis: 4.803, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 4.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8399, kappa: 0.6797, kb_relative_information_score: 679.85, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9998, recall: 0.84, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8001, usercpu_time_millis: 4.951, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 4.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8299, kappa: 0.6597, kb_relative_information_score: 659.8407, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 0.9998, recall: 0.83, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8248, usercpu_time_millis: 3.075, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 2.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.82, kappa: 0.6398, kb_relative_information_score: 639.8314, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9998, recall: 0.82, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8487, usercpu_time_millis: 3.244, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 2.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.837, kappa: 0.6739, kb_relative_information_score: 673.8472, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9998, recall: 0.837, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8076, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7738, kappa: 0.5475, kb_relative_information_score: 547.7886, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7744, predictive_accuracy: 0.774, prior_entropy: 0.9998, recall: 0.774, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9509, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.858, kappa: 0.7159, kb_relative_information_score: 715.8668, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9998, recall: 0.858, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7538, usercpu_time_millis: 6.917, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 6.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.866, kappa: 0.7319, kb_relative_information_score: 731.8743, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9998, recall: 0.866, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7322, usercpu_time_millis: 29.027, usercpu_time_millis_testing: 2.186, usercpu_time_millis_training: 26.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7033, kappa: 0.407, kb_relative_information_score: 407.7234, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7049, predictive_accuracy: 0.704, prior_entropy: 0.9998, recall: 0.704, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0883, usercpu_time_millis: 0.701, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.834, kappa: 0.6679, kb_relative_information_score: 667.8444, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 0.9998, recall: 0.834, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.815, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 711.8649, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9998, recall: 0.856, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7591, usercpu_time_millis: 24.312, usercpu_time_millis_testing: 1.857, usercpu_time_millis_training: 22.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.826, kappa: 0.652, kb_relative_information_score: 651.837, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8263, predictive_accuracy: 0.826, prior_entropy: 0.9998, recall: 0.826, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8344, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.846, kappa: 0.6918, kb_relative_information_score: 691.8556, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9998, recall: 0.846, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.785, usercpu_time_millis: 1.226, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.8265, kappa: 0.6534, kb_relative_information_score: 653.8379, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8292, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.832, usercpu_time_millis: 1.682, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8799, kappa: 0.7598, kb_relative_information_score: 759.8873, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9998, recall: 0.88, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6929, usercpu_time_millis: 367.317, usercpu_time_millis_testing: 4.928, usercpu_time_millis_training: 362.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8589, kappa: 0.7177, kb_relative_information_score: 717.8677, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8596, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7511, usercpu_time_millis: 65.948, usercpu_time_millis_testing: 7.55, usercpu_time_millis_training: 58.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7889, kappa: 0.5777, kb_relative_information_score: 577.8025, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7891, predictive_accuracy: 0.789, prior_entropy: 0.9998, recall: 0.789, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9188, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.837, kappa: 0.6739, kb_relative_information_score: 673.8472, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9998, recall: 0.837, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8076, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.776, kappa: 0.5518, kb_relative_information_score: 551.7904, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9998, recall: 0.776, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9467, usercpu_time_millis: 21.506, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 21.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8368, kappa: 0.6736, kb_relative_information_score: 673.8472, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8377, predictive_accuracy: 0.837, prior_entropy: 0.9998, recall: 0.837, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8076, usercpu_time_millis: 233.856, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 233.834,

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