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This research processed a fake news dataset, using TF-IDF and Count Vectorizer for feature extraction and evaluating multiple ML models through stratified cross-validation. Logistic Regression with TF-IDF was selected as one of the best models and further explained using LIME for interpretability.
mondalsudipta/unreliable-news-detection-ML-LIME
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This research processed a fake news dataset, using TF-IDF and Count Vectorizer for feature extraction and evaluating multiple ML models through stratified cross-validation. Logistic Regression with TF-IDF was selected as one of the best models and further explained using LIME for interpretability.
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