OpenML
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 3873 Supervised Classification dermatology 496 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9667, kappa: 0.9204, kb_relative_information_score: 335.3802, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9687, predictive_accuracy: 0.9672, prior_entropy: 0.8898, recall: 0.9672, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3929, scimark_benchmark: 1313.9994, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 362.9816, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1134, scimark_benchmark: 1290.1085, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 362.9816, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1134, scimark_benchmark: 1297.6599, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 347.5574, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8898, recall: 1, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.1508, scimark_benchmark: 942.9708, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 362.9816, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1134, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.989, kappa: 0.9741, kb_relative_information_score: 336.3556, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.8898, recall: 0.9891, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2191, scimark_benchmark: 934.6432, usercpu_time_millis: 440, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9723, kappa: 0.934, kb_relative_information_score: 340.3986, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9737, predictive_accuracy: 0.9727, prior_entropy: 0.8898, recall: 0.9727, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3587, scimark_benchmark: 1355.9413, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 363.8372, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0288, root_relative_squared_error: 0.0624, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 363.0827, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.0874, scimark_benchmark: 1331.6907, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 363.3249, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0384, root_relative_squared_error: 0.0833, scimark_benchmark: 935.4444, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9918, kappa: 0.9808, kb_relative_information_score: 357.8843, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.8898, recall: 0.9918, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.1776, scimark_benchmark: 926.1099, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 338.9024, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8898, recall: 1, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.083, root_relative_squared_error: 0.1801, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9699, kappa: 0.9291, kb_relative_information_score: 336.4216, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.8898, recall: 0.9699, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3754, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9782, kappa: 0.949, kb_relative_information_score: 340.3185, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9786, predictive_accuracy: 0.9781, prior_entropy: 0.8898, recall: 0.9781, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3105, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9782, kappa: 0.949, kb_relative_information_score: 342.1869, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9786, predictive_accuracy: 0.9781, prior_entropy: 0.8898, recall: 0.9781, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.3192, scimark_benchmark: 1287.514, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9864, kappa: 0.9682, kb_relative_information_score: 352.9447, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9869, predictive_accuracy: 0.9863, prior_entropy: 0.8898, recall: 0.9863, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2536, scimark_benchmark: 1292.2426, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.4332, kappa: 0.1535, kb_relative_information_score: -121.2971, mean_absolute_error: 0.5301, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.7838, predictive_accuracy: 0.4699, prior_entropy: 0.8898, recall: 0.4699, relative_absolute_error: 1.2468, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.728, root_relative_squared_error: 1.5798, scimark_benchmark: 1308.9788, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9945, kappa: 0.9871, kb_relative_information_score: 358.7007, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.8898, recall: 0.9945, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.1601, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.97, kappa: 0.9294, kb_relative_information_score: 337.8894, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 0.8898, recall: 0.9699, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3762, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.981, kappa: 0.9555, kb_relative_information_score: 347.9263, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9815, predictive_accuracy: 0.9809, prior_entropy: 0.8898, recall: 0.9809, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3001, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.5686, kb_relative_information_score: -0.2765, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.4816, predictive_accuracy: 0.694, prior_entropy: 0.8898, recall: 0.694, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0001, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9837, kappa: 0.9618, kb_relative_information_score: 345.774, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.984, predictive_accuracy: 0.9836, prior_entropy: 0.8898, recall: 0.9836, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2697, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 363.6132, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.034, root_relative_squared_error: 0.0738, scimark_benchmark: 931.2336, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 363.6138, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.034, root_relative_squared_error: 0.0738, scimark_benchmark: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 363.6138, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.034, root_relative_squared_error: 0.0738, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 363.6138, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.034, root_relative_squared_error: 0.0738, scimark_benchmark: 934.5243, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 362.9816, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1134, scimark_benchmark: 939.7623, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 362.9816, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1134, scimark_benchmark: 938.2848, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 365.488, mean_absolute_error: 0, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8898, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 938.2848, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 365.4663, mean_absolute_error: 0, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8898, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0008, root_relative_squared_error: 0.0017, scimark_benchmark: 938.4285, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 365.4252, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8898, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0016, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 362.9816, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1134, scimark_benchmark: 933.8635, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 362.9775, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1133, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 363.1438, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.0939, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9936, kb_relative_information_score: 362.6805, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.8898, recall: 0.9973, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.036, root_relative_squared_error: 0.0781, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 362.208, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8898, recall: 1, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.064, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.5686, kb_relative_information_score: -0.2765, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.4816, predictive_accuracy: 0.694, prior_entropy: 0.8898, recall: 0.694, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9945, kappa: 0.9872, kb_relative_information_score: 262.6928, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4251, number_of_instances: 366, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.8898, recall: 0.9945, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4608, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.541, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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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