This project aims at developing a machine-learning algorithm that will determine if a certain mushroom is edible or poisonous by its specifications like cap shape, cap color, gill color, etc. using different classifiers.
- Decision Tree Classifier
- Logistic Regression Classifier
- k-Nearest Neighbor Classifier
- Support Vector Machine Classifier
- Naive Bayes Classifier
- Random Forest Classifier