2
votes
1answer
106 views

SVM retrain on whole dataset for final model --> overfitting?

i am training a SVM (RBF kernel) with a dataset of ~1500 samples (balanced) using fminsearch on the CV error for parameter optimization (C and s). After i found the "best" parameters (local optima ...
4
votes
5answers
361 views

Is using the same data for feature selection and cross-validation biased or not?

We have a small dataset (about 250 samples * 100 features) on which we want to build a binary classifier after selecting the best feature subset. Lets say that we partition the data into: Training, ...