ISQI-CT-AI Web TestEngine demo

Metrics used to measure clustering include intra-cluster metrics that measure the proximity of a
cluster's data points.

The R-squared metric indicates how well the model distinguishes between different classes based on the ROC curve.

The silhouette coefficient describes how well the regression model fits the dependent variables.

The receiver operating characteristic curve shows, depending on parameters, how well the model
distinguishes between different clusters.