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Repository plotly_ml_performance_plots

Name: plotly_ml_performance_plots

Owner: bgruening

Synopsis: performance plots for machine learning problems

Detailed description:

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

Content homepage: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics

Development repository: https://github.com/bgruening/galaxytools/tree/master/tools/plotly_ml_performance_plots

Link to this repository: https://toolshed.g2.bx.psu.edu/view/bgruening/plotly_ml_performance_plots/62e3a4e8c54c

Clone this repository: hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/plotly_ml_performance_plots

Type: unrestricted

Revision: 2:62e3a4e8c54c

This revision can be installed: True

Times cloned / installed: 422

Name	Description	Version	Minimum Galaxy Version
Valid tools - click the name to preview the tool and use the pop-up menu to inspect all metadata
Plot confusion matrix, precision, recall and ROC and AUC curves View tool metadata	of tabular data	0.2	16.01