Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32524 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32524 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, unweighted_recall: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.937,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9452, kappa: 0.8652, kb_relative_information_score: 0.7889, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9453, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9453, prior_entropy: 0.863, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4448, unweighted_recall: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9482, kappa: 0.8728, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9482, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4272, unweighted_recall: 0.9351,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9638, kappa: 0.9114, kb_relative_information_score: 0.8682, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9638, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9638, prior_entropy: 0.863, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3653, unweighted_recall: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9382, kappa: 0.8475, kb_relative_information_score: 0.7598, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9387, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9387, prior_entropy: 0.863, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4854, unweighted_recall: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.963, kappa: 0.9093, kb_relative_information_score: 0.8669, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, weighted_recall: 0.963, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.963, prior_entropy: 0.863, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.368, unweighted_recall: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9701, kappa: 0.9267, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9701, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.863, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3325, unweighted_recall: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9701, kappa: 0.9267, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9701, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.863, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3325, unweighted_recall: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9566, kappa: 0.8932, kb_relative_information_score: 0.7952, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9568, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9568, prior_entropy: 0.863, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4105, unweighted_recall: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9699, kappa: 0.9262, kb_relative_information_score: 0.8749, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4081, weighted_recall: 0.97, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.863, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3338, unweighted_recall: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 0.8611, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9647, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.863, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588, unweighted_recall: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8818, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9699, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3306, unweighted_recall: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9696, kappa: 0.9253, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9696, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9696, prior_entropy: 0.863, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3385, unweighted_recall: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 0.8601, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9683, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3447, unweighted_recall: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9694, kappa: 0.9249, kb_relative_information_score: 0.8724, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9694, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3397, unweighted_recall: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9703, kappa: 0.9272, kb_relative_information_score: 0.8792, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9703, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.863, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3351, unweighted_recall: 0.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 0.865, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9672, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3487, unweighted_recall: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 0.8718, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9675, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3455, unweighted_recall: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 0.8718, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9675, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3455, unweighted_recall: 0.9584,

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

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Download this task directly in your environment and automatically upload your results

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

OpenML APIs