It shows how to build and optimize Decision Tree Classifier of "Diabetes dataset" using Python Scikit-learn package. A decision tree is a flowchart-like tree structure where an internal node ...

Decision-Tree-Classification-on-Diabetes-Dataset It shows how to build and optimize Decision Tree Classifier of "Diabetes dataset" using Python Scikit-learn package. A decision tree is a ...

A novel architecture of Support Vector Machine classifiers utilizing binary decision tree (SVM-DTA) for solving multiclass problems is proposed in this paper. A clustering algorithm was used to ...

A random forest (RF) is a kind of an ensemblemachine learning algorithm used for a classification and aregression. It consists of multiple decision trees that are built fromrandomly sampled data. The ...