modeva.TestSuite.interpret_local_tree#

TestSuite.interpret_local_tree(dataset: str = 'test', sample_index: int = 0)#

Generate a visualization of the decision path for a specific sample through the decision tree.

This method creates a tree diagram highlighting the specific nodes and path traversed when classifying/predicting a single sample.

Parameters:
  • dataset ({"main", "train", "test"}, default="test") – The data set used for calculating the explanation results.

  • sample_index (int, default=0) – The index of the sample in the selected dataset to visualize the decision path for.

Returns:

A result object containing:

  • key: “interpret_tree_local”

  • data: Name of the dataset used

  • model: Name of the model used

  • inputs: Input parameters

  • options: Dictionary of visualizations configuration for the local tree diagram. Run results.plot() to show this plot.

Return type:

ValidationResult

Examples

Decision Tree Classification

Decision Tree Classification

Decision Tree Regression

Decision Tree Regression