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Machine Learning Visualization Extension (version 1.0.11.0)

Select a plotting type:

Select the dataset containing values for plotting learning curve.:

This dataset should be the output of tool model_validation->learning_curve.

Whether to plot standard error bar?:

Plot title:

Optional. If change is desired.

The output format and library:

What it does This tool ouputs serveral machine learning visualization plots using Plotly, including 'feature_importances', 'learning curve', 'precison recall curve', 'roc_curve', and 'number of featues vs. rfecv gridscores'. This tool also ouputs configuration diagram for a deep learning model using the Keras model JSON file as input.

Feature importances

Learning curve

Precison recall curve

Receiver operating characteristic curve

Number of featues vs. rfecv gridscores

Deep learning model configuration