1. A machine learning model is designed to predict whether a given stock will go up or down in price. the model has an accuracy of 75%, a false positive rate of 20%, and a false negative rate of 15%. if 60% of the stocks in the dataset go up in price, what is the probability that a stock identified as going up in price by the model actually goes up in price?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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1. A machine learning model is designed to predict whether a given stock will go up or down in price. the model has an accuracy of 75%, a false positive rate of 20%, and a false negative rate of 15%. if 60% of the stocks in the dataset go up in price, what is the probability that a stock identified as going up in price by the model actually goes up in price?

2.  machine learning model is designed to predict whether a given email is spam or not. The model has an accuracy of 95%, a false positive rate of 2% and a false negative rate of 5%. If 10% of all emails received are spam, what is the probability that an email identified as spam the model is actually spam?

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