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Function: require_once

OpenML
Task
Supervised Classification on mc1

Supervised Classification on mc1

Task 3907 Supervised Classification mc1 549 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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549 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9924, kappa: 0.3932, kb_relative_information_score: -5017.4075, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9921, predictive_accuracy: 0.9936, prior_entropy: 0.0622, recall: 0.9936, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.074, root_relative_squared_error: 0.8764, scimark_benchmark: 939.5088, usercpu_time_millis: 15850, usercpu_time_millis_testing: 15850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1363.454, usercpu_time_millis: 1120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9928, kappa: 0.4019, kb_relative_information_score: -19077.7519, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.8753, scimark_benchmark: 943.1756, usercpu_time_millis: 7580140, usercpu_time_millis_testing: 33430, usercpu_time_millis_training: 7546710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 912.5006, usercpu_time_millis: 6770, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 5390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1250.8301, usercpu_time_millis: 2470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9896, kappa: 0.0548, kb_relative_information_score: -34456.2756, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9895, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.9271, scimark_benchmark: 1335.643, usercpu_time_millis: 2520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.9807, kappa: 0.0604, kb_relative_information_score: -17846.0909, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9868, predictive_accuracy: 0.9749, prior_entropy: 0.0622, recall: 0.9749, relative_absolute_error: 1.7501, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1586, root_relative_squared_error: 1.8776, scimark_benchmark: 916.5955, usercpu_time_millis: 2780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9938, kappa: 0.4873, kb_relative_information_score: 3868.0399, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.8432, scimark_benchmark: 1372.2145, usercpu_time_millis: 61090, usercpu_time_millis_testing: 17660, usercpu_time_millis_training: 43430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.9251, kappa: 0.072, kb_relative_information_score: -136277.8184, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9917, predictive_accuracy: 0.8721, prior_entropy: 0.0622, recall: 0.8721, relative_absolute_error: 8.9363, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.3541, root_relative_squared_error: 4.1931, scimark_benchmark: 1350.9691, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9903, kappa: 0.3487, kb_relative_information_score: -20797.7321, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9907, predictive_accuracy: 0.99, prior_entropy: 0.0622, recall: 0.99, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0885, root_relative_squared_error: 1.0483, scimark_benchmark: 1325.2092, usercpu_time_millis: 3990, usercpu_time_millis_testing: 3280, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.9863, kappa: 0.2291, kb_relative_information_score: -53550.6621, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9894, predictive_accuracy: 0.9836, prior_entropy: 0.0622, recall: 0.9836, relative_absolute_error: 1.7575, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1166, root_relative_squared_error: 1.3805, scimark_benchmark: 1290.1085, usercpu_time_millis: 260, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9944, kappa: 0.5555, kb_relative_information_score: -14558.4653, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9945, predictive_accuracy: 0.9951, prior_entropy: 0.0622, recall: 0.9951, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.7637, scimark_benchmark: 1066.7184, usercpu_time_millis: 2140, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.9935, kappa: 0.5215, kb_relative_information_score: -1460.9082, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9933, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.9275, scimark_benchmark: 1361.1055, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9929, kappa: 0.4142, kb_relative_information_score: -24021.451, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.889, scimark_benchmark: 1315.3881, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.9927, kappa: 0.389, kb_relative_information_score: -17504.8475, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.8925, scimark_benchmark: 1330.2678, usercpu_time_millis: 2070, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.9925, kappa: 0.448, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9922, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1319.6463, usercpu_time_millis: 4690, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.9907, kappa: 0.2044, kb_relative_information_score: 1468.0571, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.99, predictive_accuracy: 0.9927, prior_entropy: 0.0622, recall: 0.9927, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0854, root_relative_squared_error: 1.011, scimark_benchmark: 1442.7264, usercpu_time_millis: 33970, usercpu_time_millis_testing: 5590, usercpu_time_millis_training: 28380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.9925, kappa: 0.4373, kb_relative_information_score: -10801.4863, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9921, predictive_accuracy: 0.993, prior_entropy: 0.0622, recall: 0.993, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.9694, scimark_benchmark: 1358.4523, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.9927, kappa: 0.3799, kb_relative_information_score: 3068.0457, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9933, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.9026, scimark_benchmark: 1465.2979, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.9922, kappa: 0.3493, kb_relative_information_score: 2610.9061, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9923, predictive_accuracy: 0.9938, prior_entropy: 0.0622, recall: 0.9938, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.9348, scimark_benchmark: 1464.9318, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.9892, kb_relative_information_score: -619.2311, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0845, root_relative_squared_error: 1, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.9926, kappa: 0.3933, kb_relative_information_score: -9918.5773, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.9136, scimark_benchmark: 1501.4698, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.9593, kappa: 0.1085, kb_relative_information_score: -73646.2991, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9905, predictive_accuracy: 0.9334, prior_entropy: 0.0622, recall: 0.9334, relative_absolute_error: 4.6471, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2501, root_relative_squared_error: 2.9611, scimark_benchmark: 931.2336, usercpu_time_millis: 3070, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.9617, kappa: 0.1107, kb_relative_information_score: -414409.1914, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9378, prior_entropy: 0.0622, recall: 0.9378, relative_absolute_error: 7.4341, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2396, root_relative_squared_error: 2.8367, scimark_benchmark: 938.2848, usercpu_time_millis: 1930, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.9648, kappa: 0.1219, kb_relative_information_score: -448458.5171, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9436, prior_entropy: 0.0622, recall: 0.9436, relative_absolute_error: 7.4606, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2286, root_relative_squared_error: 2.7071, scimark_benchmark: 876.8277, usercpu_time_millis: 2060, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.9648, kappa: 0.1219, kb_relative_information_score: -448458.5171, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9436, prior_entropy: 0.0622, recall: 0.9436, relative_absolute_error: 7.4606, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2286, root_relative_squared_error: 2.7071, scimark_benchmark: 938.2848, usercpu_time_millis: 1920, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.9648, kappa: 0.1219, kb_relative_information_score: -448458.5171, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9436, prior_entropy: 0.0622, recall: 0.9436, relative_absolute_error: 7.4606, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2286, root_relative_squared_error: 2.7071, scimark_benchmark: 938.2848, usercpu_time_millis: 1920, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.9892, kb_relative_information_score: 1697.551, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0845, root_relative_squared_error: 1.0008, scimark_benchmark: 936.7115, usercpu_time_millis: 12930, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 12870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.9892, kb_relative_information_score: 1711.4863, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0845, root_relative_squared_error: 1.0005, scimark_benchmark: 876.8277, usercpu_time_millis: 5830, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 5790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.9892, kb_relative_information_score: 1582.4286, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0847, root_relative_squared_error: 1.0034, scimark_benchmark: 876.8277, usercpu_time_millis: 3020, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, build_cpu_time: 34.9427, build_memory: 214233623.4904, f_measure: 0.9937, kappa: 0.4927, kb_relative_information_score: -2442.3722, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9937, predictive_accuracy: 0.9946, prior_entropy: 0.0622, recall: 0.9946, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.069, root_relative_squared_error: 0.8171, scimark_benchmark: 939.6298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, build_cpu_time: 7.758, build_memory: 644706668.098, f_measure: 0.9932, kappa: 0.4529, kb_relative_information_score: -1748.4233, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9931, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.84, scimark_benchmark: 890.3066,
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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