Using Python and the dataset Diabetes, perform the following steps:

$1)$ Split the data into $2/3$ for training and $1/3$ for testing.

$2)$ Train the Logistic Regression, Linear SVM and RBF SVM Models on the $2/3,$ separately.

$3)$ Find the Prediction$/$Test result on the $1/3.$

$4)$ Estimate the classifications accuracies, Areas Under the ROC Curves $($AUCs$)$ and F$1-$Scores on the $1/3,$ for the different classification models.

$5)$ Compare the obtained results of the three classifiers, and provide your interpretations.

Note: For the Experimental Protocol you can use the k$-$fold cross validation, where k $=3,5$ or $10.$

for your support to do it in very good way as above steps. Regards