Abstract: The Stacking algorithm is a heterogeneous ensemble learning method that combines learning methods as a combination strategy. The first layer classifier is called the base classifier, and the ...

Abstract: This paper proposes to integrate single models such as random forest (RF), BP neural network (BPNN), and support vector regression (SVR) with the integration algorithm of Stacking and ...

This project compares the performance of basic machine learning algorithms, ensemble methods, and the stacking technique on the classic Iris dataset. The goal is to evaluate and compare the accuracy ...

The analysis of electrocardiogram (ECG) data presents substantial challenges as a result of the complexity of the data and the presence of noise, despite its widespread use in the diagnosis of heart ...