Examples

Examples demonstrating how to use scikit-tree algorithms.

Compare extra oblique forest and oblique random forest predictions on cc18 datasets

Compare extra oblique forest and oblique random forest predictions on cc18 datasets

Compare the decision surfaces of oblique extra-trees with standard oblique trees

Compare the decision surfaces of oblique extra-trees with standard oblique trees

Compute partial AUC using Mutual Information for Genuine Hypothesis Testing (MIGHT)

Compute partial AUC using Mutual Information for Genuine Hypothesis Testing (MIGHT)

ExtendedIsolationForest example

ExtendedIsolationForest example

Mutual Information for Gigantic Hypothesis Testing (MIGHT)

Mutual Information for Gigantic Hypothesis Testing (MIGHT)

Plot honest forest calibrations on overlapping gaussian simulations

Plot honest forest calibrations on overlapping gaussian simulations

Plot oblique forest and axis-aligned random forest predictions on cc18 datasets

Plot oblique forest and axis-aligned random forest predictions on cc18 datasets

Plot oblique forest and axis-aligned random forest predictions on sparse parity simulation

Plot oblique forest and axis-aligned random forest predictions on sparse parity simulation

Plot the decision surface of decision trees trained on the iris dataset

Plot the decision surface of decision trees trained on the iris dataset

Plot the projection matrices of an oblique tree

Plot the projection matrices of an oblique tree

Speed of Extra Oblique Random Forest vs Oblique Random Forest on different dataset sizes

Speed of Extra Oblique Random Forest vs Oblique Random Forest on different dataset sizes