| 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 |
hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/plotly_ml_performance_plots
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| of tabular data | 0.3 | 22.05 | |