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: 0.9921, 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: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1335.643,
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: 1360.2999, 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: 1249.4068,
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: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 248.1943, mean_absolute_error: 0.0083, 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: 0.0166, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.1381, scimark_benchmark: 854.5188, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 248.7008, mean_absolute_error: 0.0069, 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: 0.0138, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.1388, scimark_benchmark: 854.5188, 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: 1318.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.036, mean_absolute_error: 0.0085, 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: 0.0169, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.1423, scimark_benchmark: 937.1527, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 186.9583, mean_absolute_error: 0.1557, 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: 0.3115, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3853, scimark_benchmark: 1314.0383, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
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: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9762, kappa: 0.9524, kb_relative_information_score: 238.3261, mean_absolute_error: 0.0296, 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: 0.0591, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2302, scimark_benchmark: 1343.6648, 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: 904.3681, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8492, kappa: 0.6983, kb_relative_information_score: 170.5892, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8493, predictive_accuracy: 0.8492, prior_entropy: 0.9998, recall: 0.8492, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266, scimark_benchmark: 1316.7714, usercpu_time_millis: 950, usercpu_time_millis_testing: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9244, kappa: 0.849, kb_relative_information_score: 213.9857, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9278, predictive_accuracy: 0.9246, prior_entropy: 0.9998, recall: 0.9246, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5492, scimark_benchmark: 1329.8847, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.8479, mean_absolute_error: 0.0083, 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: 0.0167, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1775, scimark_benchmark: 896.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 184.2301, mean_absolute_error: 0.1615, 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: 0.3231, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.3975, scimark_benchmark: 1360.2771, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, 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: 1321.5205, usercpu_time_millis: 40, 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: 1310.6407, 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: 249.9935, 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: 0.008, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1119.7102, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, 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: 1262.2132, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7817, kappa: 0.5633, kb_relative_information_score: 136.0873, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7817, predictive_accuracy: 0.7817, prior_entropy: 0.9998, recall: 0.7817, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.893, scimark_benchmark: 1332.3035, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7817, kappa: 0.5633, kb_relative_information_score: 136.0873, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7817, predictive_accuracy: 0.7817, prior_entropy: 0.9998, recall: 0.7817, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.893, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1339.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.7771, kappa: 0.5563, kb_relative_information_score: 145.9241, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7828, predictive_accuracy: 0.7778, prior_entropy: 0.9998, recall: 0.7778, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8679, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9523, kappa: 0.9046, kb_relative_information_score: 181.2753, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9542, predictive_accuracy: 0.9524, prior_entropy: 0.9998, recall: 0.9524, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4449, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 233.717, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9998, recall: 0.9643, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3786, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7371, kappa: 0.4751, kb_relative_information_score: 119.952, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7406, predictive_accuracy: 0.7381, prior_entropy: 0.9998, recall: 0.7381, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0237, scimark_benchmark: 1344.7246, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8492, kappa: 0.6986, kb_relative_information_score: 175.9721, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8501, predictive_accuracy: 0.8492, prior_entropy: 0.9998, recall: 0.8492, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7767, scimark_benchmark: 1334.8272, 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: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 246.8308, 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: 0.0253, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.1261, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 899.5042, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9603, kappa: 0.9206, kb_relative_information_score: 229.1993, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9608, predictive_accuracy: 0.9603, prior_entropy: 0.9998, recall: 0.9603, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3834, scimark_benchmark: 923.7642, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
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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: 938.4285,
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: 936.6206, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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: 924.6116, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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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: 249.9935, 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: 0.008, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 929.566, 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: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9563, kappa: 0.9127, kb_relative_information_score: 219.733, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9564, predictive_accuracy: 0.9563, prior_entropy: 0.9998, recall: 0.9563, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4457, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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