ML AZURE FUSION
⭐️ An Event on ML Azure Organized by Jarvis GHRCE⭐️
This repository contains a machine learning model trained to classify mushrooms as edible or poisonous based on certain features. The model is implemented using a decision tree algorithm.
The dataset used for training and testing the model consists of samples of mushrooms, where each sample is characterized by the following input features:
- Gill Size
- Gill Color
- Stalk Root
- Spore Print Color
- Population
The target variable is the classification of the mushroom as either "edible" or "poisonous".
The decision tree algorithm was chosen for this classification task.
To use this project, follow these steps:
- Install required libraries:
pip install -r requirements.txt - Run the app:
flask run