OpenML
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 146800 Supervised Classification MiceProtein 9545 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.1334, unweighted_recall: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.931, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2254, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9778, kappa: 0.9746, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9778, number_of_instances: 1080, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 2.993, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3307, unweighted_recall: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.91, kappa: 0.8972, kb_relative_information_score: 0.6646, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9102, number_of_instances: 1080, precision: 0.9128, predictive_accuracy: 0.9102, prior_entropy: 2.993, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6118, unweighted_recall: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7333, kappa: 0.6995, kb_relative_information_score: 0.3156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2185, weighted_recall: 0.738, number_of_instances: 1080, precision: 0.7678, predictive_accuracy: 0.738, prior_entropy: 2.993, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8767, unweighted_recall: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9787, kappa: 0.9756, kb_relative_information_score: 0.8246, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9787, number_of_instances: 1080, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 2.993, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.396, unweighted_recall: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9778, kappa: 0.9746, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9778, number_of_instances: 1080, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 2.993, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3307, unweighted_recall: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.9885, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1325, unweighted_recall: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9763, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.1504, unweighted_recall: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1806, unweighted_recall: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1806, unweighted_recall: 0.9903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7333, kappa: 0.6995, kb_relative_information_score: 0.3156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2185, weighted_recall: 0.738, number_of_instances: 1080, precision: 0.7678, predictive_accuracy: 0.738, prior_entropy: 2.993, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8767, unweighted_recall: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.91, kappa: 0.8972, kb_relative_information_score: 0.6646, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9102, number_of_instances: 1080, precision: 0.9128, predictive_accuracy: 0.9102, prior_entropy: 2.993, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6118, unweighted_recall: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7333, kappa: 0.6995, kb_relative_information_score: 0.3156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2185, weighted_recall: 0.738, number_of_instances: 1080, precision: 0.7678, predictive_accuracy: 0.738, prior_entropy: 2.993, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8767, unweighted_recall: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.986, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.1494, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1806, unweighted_recall: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7333, kappa: 0.6995, kb_relative_information_score: 0.3156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2185, weighted_recall: 0.738, number_of_instances: 1080, precision: 0.7678, predictive_accuracy: 0.738, prior_entropy: 2.993, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8767, unweighted_recall: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,

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