czesctuklap/fake-news-classification

The project classifies fake news using k-Nearest Neighbors and Multilayer Perceptron, with preprocessing, TF-IDF and PCA for feature extraction. Evaluation metrics include accuracy, precision, recall and F1-score, with insights visualized through word frequency analyses, feature distributions, and model performance graphs.

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