Abstract: Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through ...

This project predicts whether a passenger survived the Titanic disaster using supervised machine learning techniques. The problem is treated as a binary classification task where the target variable ...

Abstract: The class imbalance issue has been a persistent problem in machine learning that hinders the accurate predictive analysis of data in many real-world applications. The class imbalance problem ...