NETWORK ACTIVITY ANOMALY DETECTION
The code loads and preprocesses a network activity dataset, converts numeric columns to integers, encodes non-numeric columns, splits the data, scales features, trains a Random Forest classifier, evaluates it, predicts attack statuses on the test set, and saves the predictions to a CSV file.
7/3/2024
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