Machine learning application to test different types of classifiers and the combination of their hyperparameters with the Sklearn library.
A binary classification is performed with the Kaggle "mushrooms" dataset. The objective is to classify mushrooms as either edible or poisonous mushrooms.
- Clone this repository
- Follow the Streamlit documentation to install Streamlit
- Open a terminal in your environment (in the path where the cloned repository is located) and type:
streamlit run ML_web_app.py - Select the classifier and its hyperparameters from the left menu and click the "Classify" button at the bottom to build the model
