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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.
To do so, I have used the following classification methods:
Decision Tree Classifier
Logistic Regression Classifier
Naive Bayes Classifier
Random Forest Classifier
XGBoost
About
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.