This project utilizes machine learning specifically the Random Forest Classifier and XGBoost to differentiate between authentic and fake football-related news articles. The goal is to provide insights into the world of text classification and demonstrate how these models can contribute to evaluating the credibility of football news narratives.
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Random Forest Classifier: Explore how this ensemble learning model makes predictions based on a multitude of decision trees.
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XGBoost: Witness the power of gradient-boosted trees in distinguishing between genuine and fake football news.