How many times is the model fitted, in case of K-fold Cross Validation?
a) K - 1.
d) K + 1.
K-Fold Cross Validation:
The value of k is arbitrarily chosen for k such that, when a machine learning model is run, the biasedness and the variance are minimum giving as much accurate as well as precise fitting as possible.
Answer and Explanation:
The k-fold cross-validation is a part of machine learning and is responsible for fitting the model k times when the folds involved are k in the cross-validation.
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from Intro to Excel: Essential Training & TutorialsChapter 2 / Lesson 8