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
Bagging
Training models on random subsets and averaging predictions
ROC Curve
Plot showing classifier performance across thresholds
Clustering
Grouping similar data points based on feature similarity
Feature Selection
Identifying the most relevant features for model training
Regularization
Techniques constraining model complexity to prevent overfitting
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training