Machine Learning
263 views
CatBoost
Quick Definition
Gradient boosting library with native categorical feature support
Full Definition
A gradient boosting library specializing in handling categorical features natively without preprocessing.
Examples
categorical data, ordered boosting, reduced overfitting
Related Terms
xgboost
lightgbm
gradient-boosting
More Machine Learning Terms
Clustering
Grouping similar data points based on feature similarity
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Cross-Validation
Evaluating model performance with multiple data splits
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
ARIMA
Statistical model for time series analysis and forecasting
Hidden Markov Model
Statistical model with hidden states and observable outputs