One of the biggest hurdles in Medicare fraud detection is the extreme class imbalance, where fraudulent claims represent less ...

AdaBoost for bioinformatics data classification, and extreme gradient boosting (XGBoost) for churn prediction are also discussed, providing readers with a robust toolkit for various predictive tasks.

The project is an IMDb review classifier that uses the machine learning algorithms: MLP (Multi-Layer Perceptron), Random Forest and AdaBoost, to classify movie reviews as positive or negative. The ...

The Lung cancer dataset used in the project has been collected from data.world whose link is: ...