OpenML
Supervised Classification on bodyfat

Supervised Classification on bodyfat

Task 3644 Supervised Classification bodyfat 559 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 926.5859, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 936.7184, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.3422, kb_relative_information_score: -0.0405, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.258, predictive_accuracy: 0.5079, prior_entropy: 0.9998, recall: 0.5079, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3422, kb_relative_information_score: 3.9105, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.258, predictive_accuracy: 0.5079, prior_entropy: 0.9998, recall: 0.5079, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7015, root_relative_squared_error: 1.4031, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 178.337, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4157, scimark_benchmark: 924.4107, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 243.757, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.1528, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.1504, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.9928, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1782, scimark_benchmark: 934.929, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.5775, kappa: 0.2001, kb_relative_information_score: 51.9277, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.6301, predictive_accuracy: 0.6032, prior_entropy: 0.9998, recall: 0.6032, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.26, scimark_benchmark: 946.8777, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8889, kappa: 0.7777, kb_relative_information_score: 197.1683, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9998, recall: 0.8889, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6136, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 235.6503, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.267, scimark_benchmark: 922.5036,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 246.983, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.076, root_relative_squared_error: 0.152, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9563, kappa: 0.9126, kb_relative_information_score: 204.3795, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9577, predictive_accuracy: 0.9563, prior_entropy: 0.9998, recall: 0.9563, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3819, scimark_benchmark: 952.4682, usercpu_time_millis: 1810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1790,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 246.8584, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.1261, scimark_benchmark: 928.8135, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 224.0111, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2337, scimark_benchmark: 879.4299, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.5775, kappa: 0.2001, kb_relative_information_score: 51.9277, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.6301, predictive_accuracy: 0.6032, prior_entropy: 0.9998, recall: 0.6032, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.26, scimark_benchmark: 1314.9949, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8889, kappa: 0.7777, kb_relative_information_score: 197.1683, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9998, recall: 0.8889, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6136, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 235.6503, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.267, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9563, kappa: 0.9126, kb_relative_information_score: 204.3795, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9577, predictive_accuracy: 0.9563, prior_entropy: 0.9998, recall: 0.9563, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3819, scimark_benchmark: 1327.5842, usercpu_time_millis: 1340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 224.0111, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2337, scimark_benchmark: 1322.5413, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 235.6503, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.267, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 235.6503, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.267, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 246.8584, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.1261, scimark_benchmark: 1348.2804, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 224.0111, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2337, scimark_benchmark: 1253.0071, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.5775, kappa: 0.2001, kb_relative_information_score: 51.9277, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.6301, predictive_accuracy: 0.6032, prior_entropy: 0.9998, recall: 0.6032, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.26, scimark_benchmark: 1344.09, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8889, kappa: 0.7777, kb_relative_information_score: 197.1683, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9998, recall: 0.8889, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6136, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 235.6503, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.267, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 224.0111, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2337, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 224.0111, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2337, scimark_benchmark: 1326.8946, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9563, kappa: 0.9126, kb_relative_information_score: 204.3795, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9577, predictive_accuracy: 0.9563, prior_entropy: 0.9998, recall: 0.9563, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3819, scimark_benchmark: 1341.5795, usercpu_time_millis: 970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8889, kappa: 0.7777, kb_relative_information_score: 197.1683, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9998, recall: 0.8889, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6136, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 235.6503, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.267, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 246.8584, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.1261, scimark_benchmark: 1312.0581, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8889, kappa: 0.7777, kb_relative_information_score: 197.1683, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9998, recall: 0.8889, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6136, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 235.6503, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.267, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 224.0111, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2337, scimark_benchmark: 1312.0581, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9762, kappa: 0.9524, kb_relative_information_score: 235.3411, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9998, recall: 0.9762, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.133, root_relative_squared_error: 0.266, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.1504, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.1504, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.9928, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1782, scimark_benchmark: 1327.2954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 894.7222,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs