Intrusion Detection System (IDS) - Version 1.0

This release introduces the initial version of the Intrusion Detection System (IDS). The IDS is designed to detect and classify network intrusions or anomalous activities in a computer network.

Features in this release:

• Loading and preprocessing of training data.
• Training the machine learning model using the Random Forest algorithm.
• Saving and loading the trained model.
• Performing predictions on test data.
• Displaying classification metrics, including precision, recall, and F1-score.
• Visualizing the distribution of attack types.

Please refer to the documentation for detailed instructions on how to use the IDS and interpret the results.