Thanks for reviewing my project. I’d like to ask if the conclusion is correct and valid. My result suggests that the optimal value:
a) k-nearest neighbors: 1
b) number of folds: 6
c) n-best features: 4
When I was doing cross-validation, I held all other variables (the result will be a dictionary) constant instead of writing double loops within a function (the result will be a dictionary within a dictionary). Is this approach correct?
When my k-nearest neighbor is 1 (lowest RMSE), what does that mean if, say, someone throw me a car with car features with extreme value?
Link to the intruction: