What is adaptive data analysis? The crux of statistical learning theory is about guaranteeing generalization, i.e a small gap between accuracy with respect to the true data…
Cross-validation is a technique used to measure and evaluate machine learning models performance. During training we create a number of partitions of the training set and train/test on different subsets of those…
So your model is finally done running, you’ve tweaked and optimized all of the hyperparameters you could to obtain the best results, and you’re ready to present your findings. Now what?