Question

What is the predictive accuracy of the CA model? Three candidate models have been created in order to predict the dependent variable outcome. The models, final prediction results appear below. α errors (model predicts MISS, actual HIT) are known to cost $1000 per occurrence, and p errors (model predicts HIT, actual MISS) each result in a $200 cost. A confusion matrix template has been provided on this form to aid in your calculations. (The contents of this template will not be graded.) data varlables Outcome MISS HIT MISS MISS HIT NAME GEORGE MEG STEVE WILLIAM TANNER LR MISS MISS MISS MISS HIT DT HIT HIT HIT MISS CA MISS HIT HIT HIT HIT MISS HIT MISS HIT MISS HIT MISS MISS ACTUAL: HIT 60% 20% 40% 100 % 80%

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Answer #1

Here out of the 5 outcomes there are 3 outcomes which are same for CA model.

so Accuracy = (3/5) * 100 = 60%

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