IEEE

Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm

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 ...
GitHub

Titanic Survival Prediction Using Machine Learning Classification Models

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 ...
IEEE

Biased Random Forest For Dealing With the Class Imbalance Problem

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 ...
C&EN

Low Data Drug Discovery with One-Shot Learning

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