This study investigates the use of a decision tree classification model, combined with Principal Component Analysis (PCA), to distinguish between Assam and Bhutan ethnic groups based on specific ...

We commonly use several basic models for classification ... for the HoR West Java in the 2019 legislative elections. In this paper, we compare the Random Forest bagging algorithm and the Gradient ...

There are several tools and code libraries that you can use to perform multi-class classification using a decision tree. The scikit-learn library (also called scikit or sklearn) is based on the Python ...

There are many other techniques for binary classification, but using a decision tree is very common and the technique is considered a fundamental machine learning skill for data scientists. There are ...

The authors’ approach is based on differences between assembly op-code frequencies in malware and benign classes. They have also utilized decision tree algorithms to simplify the classification.