Machine Learning
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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
LightGBM
Fast gradient boosting framework using histogram splitting
Precision Recall
Metrics measuring positive prediction quality and coverage
Feature Engineering
Creating and transforming input variables to improve performance
ARIMA
Statistical model for time series analysis and forecasting
Dimensionality Reduction
Reducing feature count while preserving important information
ROC Curve
Plot showing classifier performance across thresholds