What are decision trees?

What is Ensemble Learning?

By merging many models (also referred to as “base learners” or “weak learners”), ensemble learning is a machine learning approach that creates a stronger model that is referred to as an “ensemble model.” The concept of ensemble learning is based on the premise that an ensemble model may frequently outperform any individual model in the ensemble by aggregating the predictions of numerous models....

What are decision trees?

A decision tree is a tree-like structure where:...

What are support vector machines?

Support Vector Machines (SVMs) are supervised learning models used for classification and regression tasks. In classification, SVMs find the hyperplane that best separates different classes in the feature space. This hyperplane is chosen to maximize the margin, which is the distance between the hyperplane and the nearest data point from each class, also known as support vectors....

How to combine Support Vector Machines (SVM) and Decision Trees?

Here are some common approaches to how to combine Support Vector Machines (SVM) and Decision Trees :...

Implementation of Support Vector Machines (SVM) using Decision Trees

In this implementation, we have set up to use a Voting Classifier with a Support Vector Machine (SVM) and a Decision Tree (DT) as base estimators for the breast cancer dataset....