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
Markov Chain
Stochastic model where events depend only on previous state
Feature Engineering
Creating and transforming input variables to improve performance
PCA
Statistical technique reducing dimensionality via principal components
t-SNE
Nonlinear technique for visualizing high-dimensional data
Loss Function
Math function measuring prediction vs actual value difference
Data Augmentation
Artificially increasing training data through modified copies