Machine Learning
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Model Selection
Quick Definition
Choosing the best ML model from candidates
Full Definition
Choosing the best ML model from candidates by comparing metrics like accuracy and cross-validation scores.
Examples
comparing algorithms, hyperparameter tuning, evaluation
Related Terms
cross-validation
hyperparameter-tuning
More Machine Learning Terms
LightGBM
Fast gradient boosting framework using histogram splitting
Learning Rate
Hyperparameter controlling gradient descent step size
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
XGBoost
Optimized gradient boosting library for structured data
t-SNE
Nonlinear technique for visualizing high-dimensional data
Multi-Task Learning
Training one model for multiple related tasks simultaneously