Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
if the algorithm had encountered a different data point in the training set. Hence, we are fine if the hyperparameters found in the inner loop are different, provided that the corresponding performance estimates on the hold-out sets are similar. If they are, it seems very likely that the different