OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.6861, kappa: 0.3673, kb_relative_information_score: 0.3671, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4964, weighted_recall: 0.6862, number_of_instances: 3751, precision: 0.6859, predictive_accuracy: 0.6862, prior_entropy: 0.9948, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5526, root_relative_squared_error: 1.1091, unweighted_recall: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7709, kappa: 0.5379, kb_relative_information_score: 0.3436, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7715, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, unweighted_recall: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6963, kappa: 0.3879, kb_relative_information_score: 0.383, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4964, weighted_recall: 0.6966, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.6966, prior_entropy: 0.9948, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.0768, unweighted_recall: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7709, kappa: 0.5379, kb_relative_information_score: 0.3436, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7715, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, unweighted_recall: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7709, kappa: 0.5379, kb_relative_information_score: 0.3436, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7715, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, unweighted_recall: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7709, kappa: 0.5379, kb_relative_information_score: 0.3436, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7715, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, unweighted_recall: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7365, kappa: 0.4688, kb_relative_information_score: 0.4343, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7369, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7369, prior_entropy: 0.9948, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, unweighted_recall: 0.7339,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7365, kappa: 0.4688, kb_relative_information_score: 0.4343, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7369, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7369, prior_entropy: 0.9948, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, unweighted_recall: 0.7339,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7365, kappa: 0.4688, kb_relative_information_score: 0.4343, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7369, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7369, prior_entropy: 0.9948, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, unweighted_recall: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.771, kappa: 0.5384, kb_relative_information_score: 0.4234, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7713, number_of_instances: 3751, precision: 0.771, predictive_accuracy: 0.7713, prior_entropy: 0.9948, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8127, unweighted_recall: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7094, kappa: 0.4138, kb_relative_information_score: 0.4097, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7102, number_of_instances: 3751, precision: 0.7095, predictive_accuracy: 0.7102, prior_entropy: 0.9948, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0461, unweighted_recall: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7709, kappa: 0.5379, kb_relative_information_score: 0.3436, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7715, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, unweighted_recall: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7709, kappa: 0.5379, kb_relative_information_score: 0.3436, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7715, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, unweighted_recall: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7358, kappa: 0.4673, kb_relative_information_score: 0.4336, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7361, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, unweighted_recall: 0.7332,

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