Tree Visualisation
Displays tree structure, splits and decision paths.
Visualisation Reference
ROC Curve
Shows sensitivity against false-positive rate across thresholds.
Confusion Matrix
Summarises true and false classifications.
Scatter Plot
Compares observations and predictions.
Coefficient Plot
Shows magnitude and direction of feature effects in linear models.
Partial Dependence Plot (PDP)
Shows the average predicted response as a feature changes.
Individual Conditional Expectation (ICE)
Shows feature effects for individual observations.
SHAP Plot
Explains local or global feature contributions to model predictions.