the kdd 99 anomaly detection application is a flask web app that predicts anomalies in the kdd 99 dataset using a decision tree classifier. it allows users to input features for prediction and offers a user-friendly interface with real-time predictions and low latency.
machine-learning machine-learning-algorithms flask-application decision-tree-classifier anamoly-detection data-preprocessing-and-cleaning kdd-99-dataset
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Updated
Mar 24, 2024 - HTML