Which gamma value would give the best SVM model based on the ROC curve below. 1.0 1.0 0.8 0.8 0.6 True positive rate True positive rate 0.4 0.4 0.2 0.2 Support Vector Classifier SVM:=10 Support Vector Classifier SVM: 7=10 0.0 ILDA 0.0 SVM: 7=10-1 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 False positive rate False positive rate O a. 10^(-3) O b. none of these O c. 10*(-1) O d. 1 O e. 101(-2)For the following confusion matrix, compute the sensitivity Truth Prediction Class1 class2 Class1 208 50 Class2 21 221 O a. 208/(208+50) O b. none of these O c. 208/(208+21) O d. 21/(208+21) O e. 50/(208+50)The can help in deciding the best threshold value. 0 an. accuracy 0 b. none of these 0 c. MSE 0 d. AUG 0 e. RUG For the following confusion matrix, compute the specificity (true negative rate) Truth Prediction Class1 Class2 Class1 208 50 Class2 21 221 O a. 221/(21+221) O b. 221/(50+221) O c. none of these O d. 21/(21+221) O e. 50/(50+221)The effect of one predictor with the response can depend on how much there is with another predictor, and this affects the interpretation of the variable (Fill in the two blanks) O a. association, coefficient O b. a coefficient, prediction O c. a predictor, coefficient O d. a predictor, association O e. association, importance