Understanding human decision-making has been a central goal in psychology for decades. Researchers have long sought to design ...

A python library to build Model Trees with Linear Models at the leaves. linear-tree provides also the implementations of LinearForest and LinearBoost inspired from these works.

treeplot is Python package to easily plot the tree derived from models such as decisiontrees, randomforest and xgboost. Developing explainable machine learning models is becoming more important in ...

Python was used to develop decision tree models and rule sets. A predictive model was constructed using the results of the developed rule sets and decision tree models to predict future employee ...

To predict diseases, the system incorporates machine learning models such as Decision Tree & support vector machine. The model is designed to be user friendly and very easy to use so that any beginner ...

The Data Science Lab Multi-Class Classification Using a scikit Decision Tree Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the ...