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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Assessing the regression model on data other than the sample data that was used to generate the model is known as ____
A
approximation
B
cross-validation
C
graphical validation
D
postulation
Explanation: 

Detailed explanation-1: -So, rather than use k-fold cross-validation, for time series data we utilize hold-out cross-validation where a subset of the data (split temporally) is reserved for validating the model performance.

Detailed explanation-2: -Cross-validation is a technique for evaluating ML models by training several ML models on subsets of the available input data and evaluating them on the complementary subset of the data. Use cross-validation to detect overfitting, ie, failing to generalize a pattern.

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