In SAS, a confusion matrix shows: TP=80, FP=20, FN=10, TN=90. What is the model's precision?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — precision is true positives divided by true positives plus false positives, so you get 80 / (80 + 20) = 0.80. That's why 0.80 is right.
Full Explanation
0.80 is correct because precision = true positives / (true positives + false positives) = 80/(80+20)=0.80. 0.89 is recall = 80/(80+10)≈0.89. 0.75 matches no standard confusion-matrix formula here. 0.85 is accuracy = (80+90)/200=0.85, not precision.