Loads a saved SHAP explainer object from a binary file using Joblib.
Visualizes the relationship between SHAP values (Logits) and Probability. Plots the Sigmoid curve and highlights the specific probability for a given SHAP score.
Saves a SHAP explainer object to a binary file using Joblib.
Splits the data into Features (X) and Target (y). Returns X as a DataFrame and y as a Series.
Info
We use our own cookies as well as third-party cookies on our websites to enhance your experience, analyze our traffic, and for security and marketing.