About Iris Machine Learning Demo is a web application for demonstrating machine learning task on the web using multiple classification model.
The demo uses the well known classic Iris Dataset by R.A Fisher and popularised by Duda and Hart. The main reason Iris dataset is chosen because of its popularity being used in beginners' machine learning course and it can clearly demonstrate multivariate classification without additional complexities.
The dataset can be downloaded from:
- UCI Machine Learning Repository - Iris Dataset
- Kaggle - Iris Flower Dataset
Classification Algorithm used
Currently the web application used the following algorithm
- Multilayer Perceptron Neural Network
The Multilayer Perceptron Neural Network model was trained using Keras, and made available on the web with the help of TensorFlow.js library.
The J48, PARTS and RandomTree are trained with WEKA 3 : Machine Learning Software in Java and
Mohammad Hafiz bin Ismail (email@example.com)
For any enquiries, please send an email to firstname.lastname@example.org
How to cite this web application
If you are referencing this web application in your work, please cite it as :
Ismail, M. H. (2022). Iris Dataset Machine Learning Demo - a Web Application Demonstrating Multiple Machine Learning Algorithm for Classification task. Retrieved , , from: https://demo.mobilepit.com/ai/iris/.
You can also import the citation from this Bibtex file.