Question 3 [4 points} For a 10-fold cross validation setting, what will be the proportion of training examples in each iteration? Number of training examples : Number of test examples Question 4 [4 points} J Saved The hypothesis that says your sample means were drawn from the same population is called the 6) post hoc hypothesis. 0 central limit hypothesis. 0 alternative hypothesis. 0 null hypothesis. Question 5 (4 points) A data science student is using three machine learning algorithms to analyze a given dataset. She tests her model first with a Decision Tree, secondly with a Logistic Regression and then with a Naive-Bayes algorithm. She uses 10-fold Cross Validation for each model. She makes sure that the three algorithms get the same test set. Then, she records the Accuracy for each fold. Which test would be more appropriate for her to use to compare the performance of these models? O Wilcoxon Signed Rank Test Friedman Test O Paired t-Test O Two-Way ANOVA Test OKruskal-Wallis Test O One-Way ANOVA Test