Machine Learning
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Hyperparameter Tuning
Quick Definition
Finding optimal configuration values before training
Full Definition
Finding optimal configuration values set before model training using search strategies.
Examples
grid search, random search, Bayesian optimization
Related Terms
cross-validation
model-selection
More Machine Learning Terms
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Creating and transforming input variables to improve performance
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Artificially increasing training data through modified copies
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Statistical technique reducing dimensionality via principal components
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Techniques constraining model complexity to prevent overfitting
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Identifying the most relevant features for model training
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