Efficacy
Efficacy refers to the ability of a model or algorithm to accurately predict outcomes or achieve desired results. In data science, efficacy is often measured by metrics such as accuracy, precision, recall, and F1 score. A model with high efficacy is able to make accurate predictions on new, unseen data, and is therefore considered to be reliable and useful. Efficacy is influenced by a variety of factors, including the quality and quantity of the training data, the complexity of the model, and the choice of algorithm. Improving efficacy often involves optimizing these factors through techniques such as feature engineering, hyperparameter tuning, and ensemble learning.
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