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Repository plotly_ml_performance_plots
Owner: bgruening
Synopsis: performance plots for machine learning problems
The tool creates three plots to measure the performance of a machine learning trained model based on multiple metrics. 
The metrics include: confusion matrix and precision, recall, F-score and area under the ROC curve.
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html
Type: unrestricted
Revision: 2:62e3a4e8c54c
This revision can be installed: True
Times cloned / installed: 282

Contents of this repository

Name Description Version Minimum Galaxy Version
of tabular data 0.2 16.01

Categories
Visualization - Tools for visualizing data