Respuesta :
The correct option are Cross-validation, Data partitioning
What is Cross-validation?
Cross-Validation is a statistical method for analyzing and comparing learning algorithms that divides data into two segments: one for learning or training a model and the other for validating the model.
A 5-fold cross-validation example As a result, the dataset is divided into five folds. The first fold is saved for testing the model on the first iteration, while the rest are utilized to train the model. The second fold is used to test the model on the second iteration, while the rest are used to train the model.
What is partitioning of data?
Partitioning data is the process of dividing data across several tables, drives, or sites in order to improve query processing performance or database manageability.
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Full Question:What are two methods used to detect overfitting and provide objective assessment of the predictive performance of models? Select all that apply!
Multiple select question.
Over sampling
Data mining
Cross-validation
Data partitioning
