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Topic 12 Data Analytics by Muhammad Rizky is a document available to read on EtoBox.

What is Topic 12 Data Analytics about?

The document outlines various evaluation metrics and mechanisms for assessing machine learning models, including offline and online evaluation methods. It details techniques such as hold-out validation, k-fold cross-validation, and bootstrapping, along with regression and classification metrics like RMSE, MAE, and confusion matrices. Additionally, it discusses the importance of model selection and the use of A/B testing for live model evaluation.

Author

Muhammad Rizky

Language

EN