Task
Supervised Classification on car

Supervised Classification on car

Task 251 Supervised Classification car 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9465, kappa: 0.8884, kb_relative_information_score: 478.5877, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9472, predictive_accuracy: 0.9474, prior_entropy: 1.2099, recall: 0.9474, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9039, kappa: 0.8004, kb_relative_information_score: 388.7692, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9065, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.5653, scimark_benchmark: 851.2074, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 941.6675, usercpu_time_millis: 760, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8219, kappa: 0.6253, kb_relative_information_score: 338.7921, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8278, predictive_accuracy: 0.8351, prior_entropy: 1.2099, recall: 0.8351, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6657, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8924, kappa: 0.7724, kb_relative_information_score: 424.7522, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9001, predictive_accuracy: 0.8912, prior_entropy: 1.2099, recall: 0.8912, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5494, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9182, kappa: 0.8303, kb_relative_information_score: 410.3944, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9205, predictive_accuracy: 0.9193, prior_entropy: 1.2099, recall: 0.9193, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5124, scimark_benchmark: 931.771, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 937.5117, usercpu_time_millis: 750, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8981, kappa: 0.7898, kb_relative_information_score: 400.2464, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9048, predictive_accuracy: 0.9, prior_entropy: 1.2099, recall: 0.9, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.5576, scimark_benchmark: 943.1009, usercpu_time_millis: 570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9182, kappa: 0.8303, kb_relative_information_score: 410.3944, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9205, predictive_accuracy: 0.9193, prior_entropy: 1.2099, recall: 0.9193, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5124, scimark_benchmark: 943.1009, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9039, kappa: 0.8004, kb_relative_information_score: 388.7692, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9065, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.5653, scimark_benchmark: 608.4057, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 730.6551, usercpu_time_millis: 600, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8219, kappa: 0.6253, kb_relative_information_score: 338.7921, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8278, predictive_accuracy: 0.8351, prior_entropy: 1.2099, recall: 0.8351, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6657, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8924, kappa: 0.7724, kb_relative_information_score: 424.7522, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9001, predictive_accuracy: 0.8912, prior_entropy: 1.2099, recall: 0.8912, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5494, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9182, kappa: 0.8303, kb_relative_information_score: 410.3944, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9205, predictive_accuracy: 0.9193, prior_entropy: 1.2099, recall: 0.9193, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5124, scimark_benchmark: 936.9595, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9744, kappa: 0.9456, kb_relative_information_score: 477.9618, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9769, predictive_accuracy: 0.9737, prior_entropy: 1.2099, recall: 0.9737, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.3565, scimark_benchmark: 938.4601, usercpu_time_millis: 8990, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 7210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9687, kappa: 0.9346, kb_relative_information_score: 479.1158, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9706, predictive_accuracy: 0.9684, prior_entropy: 1.2099, recall: 0.9684, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.3625, scimark_benchmark: 934.695, usercpu_time_millis: 4230, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 3460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9684, kappa: 0.9342, kb_relative_information_score: 457.7775, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9702, predictive_accuracy: 0.9684, prior_entropy: 1.2099, recall: 0.9684, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.396, scimark_benchmark: 935.0213, usercpu_time_millis: 2220, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9649, kappa: 0.927, kb_relative_information_score: 485.4873, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9666, predictive_accuracy: 0.9649, prior_entropy: 1.2099, recall: 0.9649, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.3604, scimark_benchmark: 911.2316, usercpu_time_millis: 1370, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9654, kappa: 0.9276, kb_relative_information_score: 430.9985, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9676, predictive_accuracy: 0.9649, prior_entropy: 1.2099, recall: 0.9649, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.155, root_relative_squared_error: 0.4443, scimark_benchmark: 889.4922, usercpu_time_millis: 580, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5288, kb_relative_information_score: 7.1828, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3502, root_relative_squared_error: 1.004, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: -108.7326, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.2005, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.988, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: -108.7326, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.2005, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.988, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: -108.7326, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.2005, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.988, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: 116.135, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3599, root_relative_squared_error: 1.0318, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: 108.9654, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3624, root_relative_squared_error: 1.0388, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.906, kappa: 0.8059, kb_relative_information_score: 452.8349, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9083, predictive_accuracy: 0.907, prior_entropy: 1.2099, recall: 0.907, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.4953, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 1331.2559, usercpu_time_millis: 510, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9182, kappa: 0.8303, kb_relative_information_score: 410.3944, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9205, predictive_accuracy: 0.9193, prior_entropy: 1.2099, recall: 0.9193, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5124, scimark_benchmark: 1345.6844, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 1333.0982, usercpu_time_millis: 520, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8219, kappa: 0.6253, kb_relative_information_score: 338.7921, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8278, predictive_accuracy: 0.8351, prior_entropy: 1.2099, recall: 0.8351, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6657, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8924, kappa: 0.7724, kb_relative_information_score: 424.7522, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9001, predictive_accuracy: 0.8912, prior_entropy: 1.2099, recall: 0.8912, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5494, scimark_benchmark: 1313.5633, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8981, kappa: 0.7898, kb_relative_information_score: 400.2464, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9048, predictive_accuracy: 0.9, prior_entropy: 1.2099, recall: 0.9, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.5576, scimark_benchmark: 1393.8432, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9182, kappa: 0.8303, kb_relative_information_score: 410.3944, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9205, predictive_accuracy: 0.9193, prior_entropy: 1.2099, recall: 0.9193, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5124, scimark_benchmark: 1310.6554, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.8663, kappa: 0.7192, kb_relative_information_score: 395.026, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8678, predictive_accuracy: 0.8684, prior_entropy: 1.2099, recall: 0.8684, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.7353, scimark_benchmark: 1331.0047, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9039, kappa: 0.8004, kb_relative_information_score: 388.7692, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9065, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.5653, scimark_benchmark: 1253.0071, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 1322.5413, usercpu_time_millis: 570, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 1299.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9182, kappa: 0.8303, kb_relative_information_score: 410.3944, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9205, predictive_accuracy: 0.9193, prior_entropy: 1.2099, recall: 0.9193, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5124, scimark_benchmark: 1329.8008, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9182, kappa: 0.8303, kb_relative_information_score: 410.3944, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9205, predictive_accuracy: 0.9193, prior_entropy: 1.2099, recall: 0.9193, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5124, scimark_benchmark: 1350.1007, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9039, kappa: 0.8004, kb_relative_information_score: 388.7692, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9065, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.5653, scimark_benchmark: 1331.7953, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 1370.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 1267.3105, usercpu_time_millis: 550, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8924, kappa: 0.7724, kb_relative_information_score: 424.7522, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9001, predictive_accuracy: 0.8912, prior_entropy: 1.2099, recall: 0.8912, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5494, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9182, kappa: 0.8303, kb_relative_information_score: 410.3944, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9205, predictive_accuracy: 0.9193, prior_entropy: 1.2099, recall: 0.9193, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5124, scimark_benchmark: 1322.7257, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,

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