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OpenML
Task
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 3574 Supervised Classification rmftsa_sleepdata 421 runs submitted
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Visibility: Public
  • study_1 study_107 study_41 study_7 under100k under1m
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421 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.5165, kappa: 0.3142, kb_relative_information_score: 307.1514, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.5171, predictive_accuracy: 0.5283, prior_entropy: 1.8507, recall: 0.5283, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.9804, scimark_benchmark: 854.5188, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2232, kb_relative_information_score: 90.5839, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.0186, scimark_benchmark: 1325.2092, usercpu_time_millis: 1060, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.356, kappa: 0.141, kb_relative_information_score: 132.4005, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.2997, predictive_accuracy: 0.4492, prior_entropy: 1.8507, recall: 0.4492, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9995, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.3641, kappa: 0.1549, kb_relative_information_score: 72.6713, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.309, predictive_accuracy: 0.459, prior_entropy: 1.8507, recall: 0.459, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9847, scimark_benchmark: 1335.643, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.3344, kappa: 0.063, kb_relative_information_score: 140.385, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.334, predictive_accuracy: 0.3486, prior_entropy: 1.8507, recall: 0.3486, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5707, root_relative_squared_error: 1.3616, scimark_benchmark: 916.5955, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.3839, kappa: 0.1773, kb_relative_information_score: 258.7245, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3848, predictive_accuracy: 0.4561, prior_entropy: 1.8507, recall: 0.4561, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.2443, scimark_benchmark: 1306.6379, usercpu_time_millis: 270, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.4174, kappa: 0.2397, kb_relative_information_score: 171.9175, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4062, predictive_accuracy: 0.5, prior_entropy: 1.8507, recall: 0.5, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9487, scimark_benchmark: 1250.8301, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.4813, kappa: 0.2634, kb_relative_information_score: 289.3676, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4765, predictive_accuracy: 0.4893, prior_entropy: 1.8507, recall: 0.4893, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0126, scimark_benchmark: 1291.6995, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.4735, kappa: 0.2529, kb_relative_information_score: 287.6537, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4766, predictive_accuracy: 0.4854, prior_entropy: 1.8507, recall: 0.4854, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.1028, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.4696, kappa: 0.2715, kb_relative_information_score: 245.769, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4561, predictive_accuracy: 0.5107, prior_entropy: 1.8507, recall: 0.5107, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.956, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.467, kappa: 0.272, kb_relative_information_score: 252.6052, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4687, predictive_accuracy: 0.5156, prior_entropy: 1.8507, recall: 0.5156, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.948, scimark_benchmark: 1354.2491, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.4241, kappa: 0.1828, kb_relative_information_score: 247.4006, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.427, predictive_accuracy: 0.4229, prior_entropy: 1.8507, recall: 0.4229, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.2817, scimark_benchmark: 825.5282, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.4453, kappa: 0.2416, kb_relative_information_score: 130.4223, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4195, predictive_accuracy: 0.4961, prior_entropy: 1.8507, recall: 0.4961, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9674, scimark_benchmark: 922.9039, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.4875, kappa: 0.2826, kb_relative_information_score: 279.8596, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4756, predictive_accuracy: 0.5137, prior_entropy: 1.8507, recall: 0.5137, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.9545, scimark_benchmark: 1358.4523, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.3804, kappa: 0.1468, kb_relative_information_score: 234.9265, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3631, predictive_accuracy: 0.4375, prior_entropy: 1.8507, recall: 0.4375, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.2653, scimark_benchmark: 1351.788, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.4637, kappa: 0.2526, kb_relative_information_score: 315.9287, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4623, predictive_accuracy: 0.4873, prior_entropy: 1.8507, recall: 0.4873, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.208, scimark_benchmark: 1353.5686, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.2232, kb_relative_information_score: 0.3698, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4191, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.5034, kappa: 0.3067, kb_relative_information_score: 282.0976, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4963, predictive_accuracy: 0.5313, prior_entropy: 1.8507, recall: 0.5313, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9492, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3687, kappa: 0.1638, kb_relative_information_score: 124.8402, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.31, predictive_accuracy: 0.4609, prior_entropy: 1.8507, recall: 0.4609, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9772, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3687, kappa: 0.1638, kb_relative_information_score: 124.8402, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.31, predictive_accuracy: 0.4609, prior_entropy: 1.8507, recall: 0.4609, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9772, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3687, kappa: 0.1638, kb_relative_information_score: 124.8402, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.31, predictive_accuracy: 0.4609, prior_entropy: 1.8507, recall: 0.4609, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9772, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3687, kappa: 0.1638, kb_relative_information_score: 124.8402, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.31, predictive_accuracy: 0.4609, prior_entropy: 1.8507, recall: 0.4609, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9772, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3687, kappa: 0.1638, kb_relative_information_score: 124.8402, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.31, predictive_accuracy: 0.4609, prior_entropy: 1.8507, recall: 0.4609, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9772, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 936.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.4108, kappa: 0.1891, kb_relative_information_score: 191.8918, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3982, predictive_accuracy: 0.4629, prior_entropy: 1.8507, recall: 0.4629, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9683, scimark_benchmark: 936.6206, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.4118, kappa: 0.1973, kb_relative_information_score: 189.6832, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4033, predictive_accuracy: 0.4707, prior_entropy: 1.8507, recall: 0.4707, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9616, scimark_benchmark: 924.6116, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.4102, kappa: 0.2025, kb_relative_information_score: 186.9082, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4122, predictive_accuracy: 0.4766, prior_entropy: 1.8507, recall: 0.4766, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9564, scimark_benchmark: 924.6116, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.404, kappa: 0.1983, kb_relative_information_score: 182.3442, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4201, predictive_accuracy: 0.4756, prior_entropy: 1.8507, recall: 0.4756, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9514, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.4005, kappa: 0.1921, kb_relative_information_score: 171.6353, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3867, predictive_accuracy: 0.4717, prior_entropy: 1.8507, recall: 0.4717, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9511, scimark_benchmark: 929.566, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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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

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