Data Science, Machine Learning, Statistics, Open Source, Crossvalidation.
confidently pick the Support Vector Machine as our winner model with this information. We can also say that it has an estimated generalization error of 0.97 (look that this is lower than our previous estimate of 0.99 where we didn’t use nested cross-validation). As a final step, we run a final