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
Lasso Regression
Regularized regression using L1 penalty for feature selection
Kernel Trick
Transforming data to higher dimensions for linear separability
Underfitting
When a model is too simple to capture data patterns
Loss Function
Math function measuring prediction vs actual value difference
Linear Regression
Modeling variable relationships by fitting a linear equation
Precision Recall
Metrics measuring positive prediction quality and coverage