Question

Q8. A common resampling method used to iteratively test and

train a model is known as:
1) Recursive validation
2) Cross validation
3) A/B validation
4) Boomerang validation

Answer 1

Cross validation is the common resampling method used to iteratively test and train a model.

Step-by-step explanation:

The common resampling method used to iteratively test and train a model is known as Cross validation. Cross validation involves dividing the dataset into multiple subsets, training the model on a subset, and validating it on the remaining subset. This process is repeated multiple times, each time with a different subset as the validation set, to get more accurate and reliable performance metrics.