By comprehensively using the decision tree model and Kendall correlation analysis and other methods, using Python and SPSS software to preprocess ... and construct a decision tree model. The algorithm ...

This code is meant to foster an in-depth understanding of the Decision Tree Algorithm used in Machine Learning. No ML algorithms like Scikit-learn, PyTorch or TensorFlow has been used. This is ...

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

Abstract: The study's objective is to assess how well the decision tree algorithm ... carried out using Python's Sklearn machine learning package. Metrics like precision, recall, f score, and accuracy ...

Abstract: Prior work identified that the Decision-Tree (DT) algorithm allocates the ... this study compares two approaches for implementing the DT algorithm: first, using Netperf, and second, using a ...