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
Online Learning
Updating models incrementally as new data arrives
Linear Regression
Modeling variable relationships by fitting a linear equation
Logistic Regression
Statistical model estimating binary outcome probabilities
K-Means
Partitioning data into k clusters by updating centroids
Machine Learning
AI subset where systems learn patterns from data