typed answer only please

no explanation needed

1 2 30 40 5 60 70 80 90 10 110 12 130 14 15 160 17 180 190 201 210 220 23 240 250 26 270 28 290 30 I points Save Answer Matching; We are interested in identifying malicious URL. We use a data set to develop two models (M1 and M2) and hope to locate the malicious URL accurately. Below is the confusion matrix for each model. The value "No" represents non-malicious URL and "Yes" represents malicious one. Confusion Matrix for M1 True Value Yes No Predicted Value Yes 60 70 No 30 140 Confusion Matrix for M True Value Yes No Predicted Value Yes 30 40 No 60 170 A. 17/21 B. 14/17 C. 14/21 D. 2/3 - For MI, what is the overall accuracy of this prediction? E. 3/7 - For M2, what is its prediction precision? F. 17/23 G. 6/13 H. 4/7 7/13 J. 1/3