I have been reading about the
validation_curve function from scikit learn. When I run this it takes too long. Therefore, I am plotting the results from grid search instead, which seems to be far quicker. However, when I plot using the code from: https://matthewbilyeu.com/blog/2019-02-05/validation-curve-plot-from-gridsearchcv-results.
Why are the lines so close together? Shouldn't I get a curve instead? More generally, how can I tell if my model is under-fitting or overfitting? How can I plot the overfit/under-fit areas on my plot.
edit: i am trying to predict if a client will default on a loan or not so 1 for yes 0 for no. the data are financials. also the data i have used is about 100k samples