Contents
Overview of CatBoost
Installation
Python package
R package
Command-line version
Applying models
Objectives and metrics
Model analysis
Data format description
Parameter tuning
Speeding up the training
Data visualization
FAQ
Educational materials
Development and contributions
Algorithm details
Contacts
Train a model
Cross-validation
Scale and bias
Apply a model
Calculate metrics
Calculate feature importance
Calculate object importance
Metadata manipulation
Select features
Sum models
Usage examples