Machine Learning
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LightGBM
Quick Definition
Fast gradient boosting framework using histogram splitting
Full Definition
A gradient boosting framework using histogram-based splitting for fast training on large datasets.
Examples
large-scale ML, low-memory training, ranking tasks
Related Terms
xgboost
gradient-boosting
catboost
More Machine Learning Terms
Naive Bayes
Probabilistic classifier using Bayes theorem with independence
DBSCAN
Density-based clustering finding clusters of varying shapes
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
Linear Regression
Modeling variable relationships by fitting a linear equation
Margin
Distance between decision boundary and nearest data points
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors