$[1$ Point$($s$)]$ Suppose you have a dataset with two class labels $($positive and negative$)$ and for each class you have $500$ samples. You tried different classifiers and evaluated their classification performance using $10-$Fold Cross Validation. For each classifier how many models you trained? and in each training round how many samples were used for training and testing?

$($a$)$ nuinber of models $=10,$ number of training$-$sainples $=500,$ number of testingsamples $=500$

$($b$)$ number of models $=15,$ number of training$-$samples $=900,$ number of testingsamples $=100$

$($c$)$ number of models $=10,$ number of training$-$samples $=900,$ number of testingsamples $=100$

$($d$)$ number of models $=10,$ number of training$-$samples $=1000,$ number of testingsamples $=1000$

$($e$)$ number of models $=20,$ number of training$-$samples $=800,$ number of testingsamples $=200$

$1$ Point$($s$)]$ Consider a model that was built to classify a set of images into that of