Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 1802 Supervised Classification ecoli 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.7895, kappa: 0.7167, kb_relative_information_score: 1129.2374, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.786, predictive_accuracy: 0.7958, prior_entropy: 2.2353, recall: 0.7958, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6622, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8202, kappa: 0.7569, kb_relative_information_score: 1180.596, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8169, predictive_accuracy: 0.8238, prior_entropy: 2.2353, recall: 0.8238, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6161, scimark_benchmark: 851.2074, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6078, kappa: 0.5368, kb_relative_information_score: 819.4922, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.5604, predictive_accuracy: 0.6935, prior_entropy: 2.2353, recall: 0.6935, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9178, scimark_benchmark: 916.0735, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8086, kappa: 0.7474, kb_relative_information_score: 1131.3492, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8023, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5997, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8478, kappa: 0.7979, kb_relative_information_score: 1190.943, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8432, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5719, scimark_benchmark: 931.771, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6078, kappa: 0.5368, kb_relative_information_score: 819.4922, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.5604, predictive_accuracy: 0.6935, prior_entropy: 2.2353, recall: 0.6935, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9178, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8214, kappa: 0.7608, kb_relative_information_score: 1231.4184, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8184, predictive_accuracy: 0.8268, prior_entropy: 2.2353, recall: 0.8268, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5793, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8086, kappa: 0.7429, kb_relative_information_score: 1082.8747, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8038, predictive_accuracy: 0.8143, prior_entropy: 2.2353, recall: 0.8143, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6264, scimark_benchmark: 938.5498, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8478, kappa: 0.7979, kb_relative_information_score: 1190.943, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8432, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5719, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.7895, kappa: 0.7167, kb_relative_information_score: 1129.2374, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.786, predictive_accuracy: 0.7958, prior_entropy: 2.2353, recall: 0.7958, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6622, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8202, kappa: 0.7569, kb_relative_information_score: 1180.596, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8169, predictive_accuracy: 0.8238, prior_entropy: 2.2353, recall: 0.8238, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6161, scimark_benchmark: 936.2574, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6078, kappa: 0.5368, kb_relative_information_score: 819.4922, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.5604, predictive_accuracy: 0.6935, prior_entropy: 2.2353, recall: 0.6935, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9178, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8086, kappa: 0.7474, kb_relative_information_score: 1131.3492, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8023, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5997, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8086, kappa: 0.7429, kb_relative_information_score: 1082.8747, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8038, predictive_accuracy: 0.8143, prior_entropy: 2.2353, recall: 0.8143, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6264, scimark_benchmark: 1051.249, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8478, kappa: 0.7979, kb_relative_information_score: 1190.943, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8432, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5719, scimark_benchmark: 901.4991, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8581, kappa: 0.8119, kb_relative_information_score: 1211.6464, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8523, predictive_accuracy: 0.8643, prior_entropy: 2.2353, recall: 0.8643, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5497, scimark_benchmark: 919.9068, usercpu_time_millis: 2580, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8599, kappa: 0.8143, kb_relative_information_score: 1210.0375, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8542, predictive_accuracy: 0.8661, prior_entropy: 2.2353, recall: 0.8661, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5515, scimark_benchmark: 935.2002, usercpu_time_millis: 1080, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8554, kappa: 0.8079, kb_relative_information_score: 1209.7827, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8499, predictive_accuracy: 0.8613, prior_entropy: 2.2353, recall: 0.8613, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5544, scimark_benchmark: 917.2109, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8492, kappa: 0.7993, kb_relative_information_score: 1209.0669, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8436, predictive_accuracy: 0.8554, prior_entropy: 2.2353, recall: 0.8554, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5578, scimark_benchmark: 930.0399, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.841, kappa: 0.7883, kb_relative_information_score: 1203.2992, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8351, predictive_accuracy: 0.8476, prior_entropy: 2.2353, recall: 0.8476, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5685, scimark_benchmark: 894.7131, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.2541, kb_relative_information_score: 2.2336, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.5116, kappa: 0.4504, kb_relative_information_score: 633.6118, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.4233, predictive_accuracy: 0.6464, prior_entropy: 2.2353, recall: 0.6464, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.8442, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.5116, kappa: 0.4504, kb_relative_information_score: 633.6118, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.4233, predictive_accuracy: 0.6464, prior_entropy: 2.2353, recall: 0.6464, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.8442, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.5116, kappa: 0.4504, kb_relative_information_score: 633.6118, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.4233, predictive_accuracy: 0.6464, prior_entropy: 2.2353, recall: 0.6464, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.8442, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.5116, kappa: 0.4504, kb_relative_information_score: 633.6118, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.4233, predictive_accuracy: 0.6464, prior_entropy: 2.2353, recall: 0.6464, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.8442, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.5116, kappa: 0.4504, kb_relative_information_score: 633.6118, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.4233, predictive_accuracy: 0.6464, prior_entropy: 2.2353, recall: 0.6464, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.8442, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, kb_relative_information_score: 292.9383, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.2564, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, kb_relative_information_score: 292.9383, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.2564, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8086, kappa: 0.7474, kb_relative_information_score: 1131.3492, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8023, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5997, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8086, kappa: 0.7429, kb_relative_information_score: 1082.8747, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8038, predictive_accuracy: 0.8143, prior_entropy: 2.2353, recall: 0.8143, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6264, scimark_benchmark: 1347.6543, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8478, kappa: 0.7979, kb_relative_information_score: 1190.943, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8432, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5719, scimark_benchmark: 1317.2327, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8214, kappa: 0.7608, kb_relative_information_score: 1231.4184, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8184, predictive_accuracy: 0.8268, prior_entropy: 2.2353, recall: 0.8268, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5793, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8086, kappa: 0.7474, kb_relative_information_score: 1131.3492, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8023, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5997, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6078, kappa: 0.5368, kb_relative_information_score: 819.4922, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.5604, predictive_accuracy: 0.6935, prior_entropy: 2.2353, recall: 0.6935, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9178, scimark_benchmark: 1307.9497, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8214, kappa: 0.7608, kb_relative_information_score: 1231.4184, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8184, predictive_accuracy: 0.8268, prior_entropy: 2.2353, recall: 0.8268, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5793, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8086, kappa: 0.7429, kb_relative_information_score: 1082.8747, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8038, predictive_accuracy: 0.8143, prior_entropy: 2.2353, recall: 0.8143, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6264, scimark_benchmark: 1338.5214, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8202, kappa: 0.7569, kb_relative_information_score: 1180.596, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8169, predictive_accuracy: 0.8238, prior_entropy: 2.2353, recall: 0.8238, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6161, scimark_benchmark: 1345.7919, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8086, kappa: 0.7474, kb_relative_information_score: 1131.3492, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8023, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5997, scimark_benchmark: 1320.8688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 1337.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.7895, kappa: 0.7167, kb_relative_information_score: 1129.2374, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.786, predictive_accuracy: 0.7958, prior_entropy: 2.2353, recall: 0.7958, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6622, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 1335.9243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8478, kappa: 0.7979, kb_relative_information_score: 1190.943, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8432, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5719, scimark_benchmark: 1360.6367, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.829, kappa: 0.77, kb_relative_information_score: 1214.2137, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8254, predictive_accuracy: 0.8333, prior_entropy: 2.2353, recall: 0.8333, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5773, scimark_benchmark: 1316.2665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6078, kappa: 0.5368, kb_relative_information_score: 819.4922, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.5604, predictive_accuracy: 0.6935, prior_entropy: 2.2353, recall: 0.6935, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9178, scimark_benchmark: 1327.3335, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8086, kappa: 0.7429, kb_relative_information_score: 1082.8747, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8038, predictive_accuracy: 0.8143, prior_entropy: 2.2353, recall: 0.8143, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6264, scimark_benchmark: 940.3347, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8478, kappa: 0.7979, kb_relative_information_score: 1190.943, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8432, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5719, scimark_benchmark: 1322.7257, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8236, kappa: 0.7639, kb_relative_information_score: 1223.4297, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 1680, precision: 0.8197, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5765, scimark_benchmark: 932.5646,

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