Galaxy-Classification using Decision Tree Classifier and Random Forest Classifier

In this activity, we will be using machine learning to classify galaxies into three types based on their observed properties

• ellipticals
• spirals
• galactic mergers
  

The features that we will be using to do our galaxy classification are:

colour index

adaptive moments

eccentricities

concentrations

Models Used

Decision Tree Classifier

Random Forest Classifier

Results and Discussions

Confusion matrix of Decision Tree Classifier

Confusion matrix of Random Forest Classifier

It's clear from the below table that random forest outperforms decision tree classifier.