Machine Learning
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A/B Testing
Quick Definition
Statistical method comparing two versions for performance
Full Definition
A statistical method comparing two versions to determine which performs better against a defined metric.
Examples
web page optimization, feature comparison, conversion testing
Related Terms
experiment-design
hypothesis-testing
More Machine Learning Terms
Decision Tree
Tree-like model splitting data based on feature values
Markov Chain
Stochastic model where events depend only on previous state
Dropout
Regularization randomly deactivating neurons during training
Cross-Validation
Evaluating model performance with multiple data splits
Lasso Regression
Regularized regression using L1 penalty for feature selection
Hyperparameter Tuning
Finding optimal configuration values before training