Question 1 of 30
In a network security environment, a company is implementing an Intrusion Prevention System (IPS) that utilizes machine learning algorithms to enhance its detection capabilities. The IPS analyzes network traffic patterns and identifies anomalies based on historical data. If the system is trained on a dataset containing 10,000 benign traffic samples and 1,000 malicious samples, what is the expected precision of the IPS if it identifies 200 packets as malicious, of which 150 are actually malicious?
0.75
0.85
0.65
0.8

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