Question

Given a scenario, where both 1-nearest neighbor and nave bayes classifiers have identical confusion matrices. Which classifier can give you additional insights? Justify your answer.

Answer 1

Hey mates your answer is here

Use the caret package to partition into a test and training set of equal size. Train a linear model and report the RMSE. Repeat this exercise 100 times and make a histogram of the RMSEs and report the average and standard deviation. Hint: adapt the code shown earlier like this:

may be it's helpful for you

please mark me brainliest ✌️✌️