For k cross-validation, larger k value implies more bias.(a) True(b) FalseThis question was posed to me during an interview.My question is based upon Cross Validation topic in chapter Machine Learning of Data Science

For k cross-validation, larger k value implies more bias.(a) True(b) F

1.	For k cross-validation, larger k value implies more bias.(a) True(b) FalseThis question was posed to me during an interview.My question is based upon Cross Validation topic in chapter Machine Learning of Data Science
Answer» RIGHT answer is (b) False Easy EXPLANATION - For k cross-validation, LARGER k value IMPLIES less BIAS.

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For k cross-validation, larger k value implies more bias.(a) True(b) FalseThis question was posed to me during an interview.My question is based upon Cross Validation topic in chapter Machine Learning of Data Science

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