Task
Supervised Classification on fri_c0_500_25

Supervised Classification on fri_c0_500_25

Task 3789 Supervised Classification fri_c0_500_25 554 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.5936, build_memory: 912949140, f_measure: 0.814, kappa: 0.6278, kb_relative_information_score: 238.3599, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9997, recall: 0.814, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7109, scimark_benchmark: 942.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 200.0611, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7765, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.76, kappa: 0.5201, kb_relative_information_score: 208.1523, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 0.9997, recall: 0.76, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8453, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.819, kappa: 0.6389, kb_relative_information_score: 224.6696, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8249, predictive_accuracy: 0.82, prior_entropy: 0.9997, recall: 0.82, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7337, scimark_benchmark: 1349.9109, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8415, kappa: 0.6833, kb_relative_information_score: 193.355, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8446, predictive_accuracy: 0.842, prior_entropy: 0.9997, recall: 0.842, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7322, scimark_benchmark: 1329.8008, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 205.0162, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7502, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 1321.4561, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8139, kappa: 0.6276, kb_relative_information_score: 260.9915, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8143, predictive_accuracy: 0.814, prior_entropy: 0.9997, recall: 0.814, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7257, scimark_benchmark: 1330.8256, usercpu_time_millis: 2320, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1396.1629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8139, kappa: 0.6276, kb_relative_information_score: 260.9915, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8143, predictive_accuracy: 0.814, prior_entropy: 0.9997, recall: 0.814, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7257, scimark_benchmark: 1341.5795, usercpu_time_millis: 2160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 200.0611, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7765, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8415, kappa: 0.6833, kb_relative_information_score: 193.355, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8446, predictive_accuracy: 0.842, prior_entropy: 0.9997, recall: 0.842, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7322, scimark_benchmark: 1278.6629, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8415, kappa: 0.6833, kb_relative_information_score: 193.355, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8446, predictive_accuracy: 0.842, prior_entropy: 0.9997, recall: 0.842, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7322, scimark_benchmark: 1347.993, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1325.5735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8139, kappa: 0.6276, kb_relative_information_score: 260.9915, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8143, predictive_accuracy: 0.814, prior_entropy: 0.9997, recall: 0.814, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7257, scimark_benchmark: 1322.3407, usercpu_time_millis: 2950, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.819, kappa: 0.6389, kb_relative_information_score: 224.6696, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8249, predictive_accuracy: 0.82, prior_entropy: 0.9997, recall: 0.82, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7337, scimark_benchmark: 1339.4412, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.76, kappa: 0.5201, kb_relative_information_score: 208.1523, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 0.9997, recall: 0.76, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8453, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 200.0611, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7765, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.819, kappa: 0.6389, kb_relative_information_score: 224.6696, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8249, predictive_accuracy: 0.82, prior_entropy: 0.9997, recall: 0.82, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7337, scimark_benchmark: 1313.8988, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1346.2927, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1303.5632, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 200.0611, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7765, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1346.2927, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1347.6543, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1324.8408, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.76, kappa: 0.5201, kb_relative_information_score: 208.1523, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 0.9997, recall: 0.76, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8453, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8139, kappa: 0.6276, kb_relative_information_score: 260.9915, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8143, predictive_accuracy: 0.814, prior_entropy: 0.9997, recall: 0.814, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7257, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 932.438, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 205.0162, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7502, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.8039, kappa: 0.6077, kb_relative_information_score: 303.8866, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8041, predictive_accuracy: 0.804, prior_entropy: 0.9997, recall: 0.804, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8856, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.6056, kappa: 0.211, kb_relative_information_score: 105.7732, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6059, predictive_accuracy: 0.606, prior_entropy: 0.9997, recall: 0.606, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2556, usercpu_time_millis: 2.535, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 1.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6539, kappa: 0.3076, kb_relative_information_score: 153.8007, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6539, predictive_accuracy: 0.654, prior_entropy: 0.9997, recall: 0.654, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1767, usercpu_time_millis: 0.273, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.744, kappa: 0.4878, kb_relative_information_score: 243.8522, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 0.9997, recall: 0.744, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0121, usercpu_time_millis: 2.762, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 1.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 329.9015, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9997, 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: 31.616, usercpu_time_millis_testing: 3.878, usercpu_time_millis_training: 27.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7699, kappa: 0.5396, kb_relative_information_score: 269.8671, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.77, predictive_accuracy: 0.77, prior_entropy: 0.9997, recall: 0.77, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9594, usercpu_time_millis: 31.859, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 31.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.768, kappa: 0.5359, kb_relative_information_score: 267.866, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7681, predictive_accuracy: 0.768, prior_entropy: 0.9997, recall: 0.768, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9635, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.5953, kappa: 0.1906, kb_relative_information_score: 95.7675, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.5959, predictive_accuracy: 0.596, prior_entropy: 0.9997, recall: 0.596, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2715, usercpu_time_millis: 0.475, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.794, kappa: 0.5878, kb_relative_information_score: 293.8809, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.794, predictive_accuracy: 0.794, prior_entropy: 0.9997, recall: 0.794, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079, usercpu_time_millis: 1.115, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.746, kappa: 0.4921, kb_relative_information_score: 245.8534, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7463, predictive_accuracy: 0.746, prior_entropy: 0.9997, recall: 0.746, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0082, usercpu_time_millis: 6.344, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 5.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7799, kappa: 0.5605, kb_relative_information_score: 279.8729, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7818, predictive_accuracy: 0.78, prior_entropy: 0.9997, recall: 0.78, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9383, usercpu_time_millis: 4.203, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 3.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6717, kappa: 0.3432, kb_relative_information_score: 171.811, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.672, predictive_accuracy: 0.672, prior_entropy: 0.9997, recall: 0.672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1457, usercpu_time_millis: 1.795, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8479, kappa: 0.6957, kb_relative_information_score: 347.9118, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8483, predictive_accuracy: 0.848, prior_entropy: 0.9997, recall: 0.848, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7799, usercpu_time_millis: 102.375, usercpu_time_millis_testing: 5.913, usercpu_time_millis_training: 96.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8577, kappa: 0.7155, kb_relative_information_score: 357.9175, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8595, predictive_accuracy: 0.858, prior_entropy: 0.9997, 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: 2.891, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 2.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.8038, kappa: 0.6075, kb_relative_information_score: 303.8866, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 0.9997, recall: 0.804, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8856, usercpu_time_millis: 1.397, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.76, kappa: 0.5201, kb_relative_information_score: 259.8614, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 0.9997, recall: 0.76, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.98, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 1.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.798, kappa: 0.5959, kb_relative_information_score: 297.8832, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 0.9997, recall: 0.798, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8991, usercpu_time_millis: 0.078, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.858, kappa: 0.7158, kb_relative_information_score: 357.9175, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9997, 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: 383.628, usercpu_time_millis_testing: 9.162, usercpu_time_millis_training: 374.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.784, kappa: 0.5679, kb_relative_information_score: 283.8751, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7841, predictive_accuracy: 0.784, prior_entropy: 0.9997, recall: 0.784, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9297, usercpu_time_millis: 16.435, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 15.038,

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