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
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Dimensionality Reduction
Reducing feature count while preserving important information
Data Augmentation
Artificially increasing training data through modified copies
Active Learning
Algorithm selecting most informative data points for labeling
Logistic Regression
Statistical model estimating binary outcome probabilities
Margin
Distance between decision boundary and nearest data points