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Balancing Precision and Recall in Machine Learning Models

#WisdomWednesday! A good model balances: #Precision: proportion of emails correctly identified as spam out of all the emails labeled as spam [60%] +
#Recall: proportion of spam emails correctly identified out of all the spam emails in the dataset [75%] #machinelearning

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