The app is made using the python library streamlit which allows the creation of websites from pure python code
Streamlit is an open-source python framework for creating web-apps for machine learning and data science projects.
The app aims to allow easy to use interface for tweaking and analyzing the performance of classification algorithms on various datasets. It allows developers to get better intuition about the power of changing the hyperparameters to enhance the performance of model and compare it with other supervised algorithms
With time more and more datasets would added. Currently it supports the MUSHROOM DATASET. Update 1: Iris dataset added Look at the datasets folder for downloading.
#Using the app
- Clone the repository
- Install the software dependencies.
- Download the csv dataset from the link.
- In load_dataset function change the path to the location where your dataset is downloaded