Star Classification
This Project goal to develop a Deep Learning model with Tensorflow capable to classifying whether the given radiations are from a galaxy or star or quasar. I had choosen this project for my machine learning project as my college course.
Dataset
I used a public Dataset for Training and Testing for the model. The Dataset contains a many columns representing different aspects of radiation's informations.
Model Architecture
Models
There are Total of 3 Models used ->
- KNeighbor Classifier
- Support Vector Machine
- Random Forest Classifier
Accuracy
The Resulted Accuracy found with all the models are
- KNeighbor Classifier -> 56.7
- Support Vector Machine -> 51.8
- Random Forest Classifier -> 97.1
Result
The Random Forest Classifier stands out with an impressive accuracy of 97.1%. It outperforms the other models significantly. These results demonstrate the power of this machine learning approach for star classification tasks.