OpenML
Supervised Classification on analcatdata_runshoes

Supervised Classification on analcatdata_runshoes

Task 3707 Supervised Classification analcatdata_runshoes 469 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7282, kappa: 0.4286, kb_relative_information_score: 16.2823, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.73, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8957, scimark_benchmark: 1335.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7622, kappa: 0.5, kb_relative_information_score: 18.3972, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.765, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8785, scimark_benchmark: 1360.0477, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6354, kappa: 0.2466, kb_relative_information_score: 6.3135, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6389, predictive_accuracy: 0.6333, prior_entropy: 0.9728, recall: 0.6333, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0898, scimark_benchmark: 1292.514, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.784, kappa: 0.5517, kb_relative_information_score: 19.0971, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7851, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8681, scimark_benchmark: 1280.9535, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.4421, kappa: -0.0331, kb_relative_information_score: 7.0742, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.3559, predictive_accuracy: 0.5833, prior_entropy: 0.9728, recall: 0.5833, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.3176, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6354, kappa: 0.2466, kb_relative_information_score: 6.3135, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6389, predictive_accuracy: 0.6333, prior_entropy: 0.9728, recall: 0.6333, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0898, scimark_benchmark: 1315.7081, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.4421, kappa: -0.0331, kb_relative_information_score: 7.0742, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.3559, predictive_accuracy: 0.5833, prior_entropy: 0.9728, recall: 0.5833, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.3176, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 9.5824, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0429, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.784, kappa: 0.5517, kb_relative_information_score: 19.0971, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7851, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8681, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1347.993,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7622, kappa: 0.5, kb_relative_information_score: 18.3972, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.765, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8785, scimark_benchmark: 1347.5461, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 9.5824, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0429, scimark_benchmark: 935.5075,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.6303, kappa: 0.2254, kb_relative_information_score: 5.7624, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6287, predictive_accuracy: 0.6333, prior_entropy: 0.9728, recall: 0.6333, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0546, scimark_benchmark: 1347.993,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.784, kappa: 0.5517, kb_relative_information_score: 19.0971, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7851, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8681, scimark_benchmark: 1311.9814, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 7.5485, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.916, scimark_benchmark: 942.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6116, kappa: 0.1844, kb_relative_information_score: 13.4515, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6095, predictive_accuracy: 0.6167, prior_entropy: 0.9728, recall: 0.6167, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.0877, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7311, kappa: 0.4366, kb_relative_information_score: 15.4051, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7306, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8911, scimark_benchmark: 940.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7282, kappa: 0.4286, kb_relative_information_score: 16.2823, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.73, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8957, scimark_benchmark: 1339.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.7333, kappa: 0.4444, kb_relative_information_score: 17.7069, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9343, scimark_benchmark: 901.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.6453, kappa: 0.2553, kb_relative_information_score: 15.4725, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.644, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.0575, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.6943, kappa: 0.3571, kb_relative_information_score: 17.2454, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.695, predictive_accuracy: 0.7, prior_entropy: 0.9728, recall: 0.7, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9952, scimark_benchmark: 1321.3021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.6752, kappa: 0.3165, kb_relative_information_score: 15.9845, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.677, predictive_accuracy: 0.6833, prior_entropy: 0.9728, recall: 0.6833, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9809, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.6752, kappa: 0.3165, kb_relative_information_score: 17.0894, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.677, predictive_accuracy: 0.6833, prior_entropy: 0.9728, recall: 0.6833, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9534, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7508, kappa: 0.4828, kb_relative_information_score: 16.9047, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.752, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9343, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7027, kappa: 0.3919, kb_relative_information_score: 9.3925, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7116, predictive_accuracy: 0.7, prior_entropy: 0.9728, recall: 0.7, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9559, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.7349, kappa: 0.4521, kb_relative_information_score: 10.9137, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.738, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0109, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7027, kappa: 0.4079, kb_relative_information_score: 21.8619, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7304, predictive_accuracy: 0.7, prior_entropy: 0.9728, recall: 0.7, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.118, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 9.1867, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9728, recall: 0.6, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 15.5243, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2076, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.6975, kappa: 0.3662, kb_relative_information_score: 13.4922, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6967, predictive_accuracy: 0.7, prior_entropy: 0.9728, recall: 0.7, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9188, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.6023, kappa: 0.1781, kb_relative_information_score: 9.1867, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6059, predictive_accuracy: 0.6, prior_entropy: 0.9728, recall: 0.6, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7622, kappa: 0.5, kb_relative_information_score: 18.3972, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.765, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8785, scimark_benchmark: 938.202, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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