OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23584 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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23584 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9581, kappa: 0.944, kb_relative_information_score: 0.5843, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.3439, weighted_recall: 0.962, number_of_instances: 841, precision: 0.9635, predictive_accuracy: 0.962, prior_entropy: 1.7874, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5875, unweighted_recall: 0.8794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9869, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9964, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1252, unweighted_recall: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9888, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9964, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.116, unweighted_recall: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9888, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9964, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.116, unweighted_recall: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.984, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.1099, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9869, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9964, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1252, unweighted_recall: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9888, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9964, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.116, unweighted_recall: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.984, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.1099, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9237, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.1879, unweighted_recall: 0.9992,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9976, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1262, unweighted_recall: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9581, kappa: 0.944, kb_relative_information_score: 0.5843, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.3439, weighted_recall: 0.962, number_of_instances: 841, precision: 0.9635, predictive_accuracy: 0.962, prior_entropy: 1.7874, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5875, unweighted_recall: 0.8794,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 0.8775, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9941, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7874, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2528, unweighted_recall: 0.9915,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9581, kappa: 0.944, kb_relative_information_score: 0.5843, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.3439, weighted_recall: 0.962, number_of_instances: 841, precision: 0.9635, predictive_accuracy: 0.962, prior_entropy: 1.7874, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5875, unweighted_recall: 0.8794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9882, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9964, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1249, unweighted_recall: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9581, kappa: 0.944, kb_relative_information_score: 0.5843, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.3439, weighted_recall: 0.962, number_of_instances: 841, precision: 0.9635, predictive_accuracy: 0.962, prior_entropy: 1.7874, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5875, unweighted_recall: 0.8794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 0.8775, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9941, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7874, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2528, unweighted_recall: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9988, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1366, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9976, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1262, unweighted_recall: 0.9984,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs