evalml.model_understanding.binary_objective_vs_threshold

evalml.model_understanding.binary_objective_vs_threshold(pipeline, X, y, objective, steps=100)

Computes objective score as a function of potential binary classification

decision thresholds for a fitted binary classification pipeline.

Parameters

• pipeline (BinaryClassificationPipeline obj) – fitted binary classification pipeline

• X (pd.DataFrame) – the input data used to compute objective score

• y (pd.Series) – the target labels

• objective (ObjectiveBase obj, str) – objective used to score

• steps (int) – Number of intervals to divide and calculate objective score at

Returns

DataFrame with thresholds and the corresponding objective score calculated at each threshold

Return type

pd.DataFrame

evalml.model_understanding.graph_permutation_importance evalml.model_understanding.graph_binary_objective_vs_threshold