Consider a classifier model in place which classifies emails as 'spam' and 'not-spam'. After a trial run on a test data-set consisting of 200 instances, the performance was evaluated based on the confusion matrix ( shown below) .
The objective of the model is to correctly classify an email as SPAM.
Spend some time to understand this confusion matrix in the context of the model mentioned above and answer the questions in the following questions -
What is the count of True Positives(TP) from the entire list of 200 ?
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