This is the data set: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data

Q1 |3. Classifying the iris data set. In this question, you will experiment with different classification models on the Iris data set. The models are: Linear Classifiers, with hinge loss (SVM) Random-forest Classifier a) for the SVM classifier, use the default parameters, and 10-fold cross validation, and report the accuracy and the confusion matrix. b) for the Random Forest classifier, xperiment with different numbers of estimators, different max.depths of tree (in the range from 2 to 10). Use the default values for the remaining parameters. Evaluate each parameter selection using 10-fold cross validation, and report the accuracy and the confusion matrix. Only report the interesting parameter settings c) Summarize your findings from (a) and (b). What is the best performing classifier