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
Clustering
Grouping similar data points based on feature similarity
Overfitting
When a model learns training data noise and fails on new data
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Linear Regression
Modeling variable relationships by fitting a linear equation
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Markov Chain
Stochastic model where events depend only on previous state