Inside Cross Val

Insights into how the error varies with change in K while performing k-fold Cross Validation

Plotting change in Error Mean and Variance with change in K

1. For values of k which divide N, the number of samples
2. For all values of k

In Case 1

• Error Mean does not change with K
• Error Variance decreases with increase in K

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In Case 2

• Similar Overall Trend as Case 1
• The plots are much more sensitive and fluctuating

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