Task
Supervised Classification on hip

Supervised Classification on hip

Task 3761 Supervised Classification hip 516 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7563, kappa: 0.5145, kb_relative_information_score: 23.4204, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7669, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8254, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 27.5766, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7882, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.759, kappa: 0.5172, kb_relative_information_score: 19.2592, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7593, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8143, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 27.4803, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7809, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8519, kappa: 0.7033, kb_relative_information_score: 30.4801, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8519, predictive_accuracy: 0.8519, prior_entropy: 0.9991, recall: 0.8519, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6485, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 22.2965, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8178, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 27.4803, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7809, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 27.5766, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7882, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 27.4803, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7809, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 27.5766, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7882, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 25.2577, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7485, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 25.2577, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7485, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 27.4803, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7809, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.759, kappa: 0.5172, kb_relative_information_score: 19.2592, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7593, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8143, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 22.2965, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8178, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8519, kappa: 0.7033, kb_relative_information_score: 30.4801, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8519, predictive_accuracy: 0.8519, prior_entropy: 0.9991, recall: 0.8519, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6485, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 27.4803, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7809, scimark_benchmark: 1333.0982,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7563, kappa: 0.5145, kb_relative_information_score: 23.4204, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7669, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8254, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.4553, kappa: 0.0822, kb_relative_information_score: 5.9079, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6411, predictive_accuracy: 0.5556, prior_entropy: 0.9991, recall: 0.5556, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3342, scimark_benchmark: 1334.863,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.759, kappa: 0.5172, kb_relative_information_score: 22.4958, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7593, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8835, scimark_benchmark: 1343.3311, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.5473, kappa: 0.1657, kb_relative_information_score: 8.2162, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6317, predictive_accuracy: 0.5926, prior_entropy: 0.9991, recall: 0.5926, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.74, kappa: 0.4793, kb_relative_information_score: 24.4387, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7414, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 23.9892, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7563, kappa: 0.5145, kb_relative_information_score: 16.7778, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7669, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8334, kappa: 0.6667, kb_relative_information_score: 36.0858, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 27.5766, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7882, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 27.4803, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7809, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6854, kappa: 0.3966, kb_relative_information_score: 13.6756, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7497, predictive_accuracy: 0.7037, prior_entropy: 0.9991, recall: 0.7037, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7964, kappa: 0.5926, kb_relative_information_score: 32.0576, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.797, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7026, scimark_benchmark: 1018.9933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.759, kappa: 0.5172, kb_relative_information_score: 28.2765, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7593, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.492, kappa: 0.0873, kb_relative_information_score: 4.8393, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.5827, predictive_accuracy: 0.5556, prior_entropy: 0.9991, recall: 0.5556, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.085, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5129, kappa: 0.0586, kb_relative_information_score: 5.8186, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.536, predictive_accuracy: 0.537, prior_entropy: 0.9991, recall: 0.537, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6254, root_relative_squared_error: 1.2516, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 33.9595, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8613, scimark_benchmark: 1029.3761, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 25.2577, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7485, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8889, kappa: 0.7775, kb_relative_information_score: 31.2416, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9991, recall: 0.8889, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6278, scimark_benchmark: 936.9595, usercpu_time_millis: 320, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.759, kappa: 0.5172, kb_relative_information_score: 22.4958, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7593, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8835, scimark_benchmark: 934.695, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 25.2577, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7485, scimark_benchmark: 949.7766, usercpu_time_millis: 20, usercpu_time_millis_testing: 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