Skip to content

A machine-learning project to determine if a certain mushroom is edible or poisonous.

License

Notifications You must be signed in to change notification settings

kanchitank/Mushroom-Classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Mushroom_Classification

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
  • k-Nearest Neighbor Classifier
  • Support Vector Machine Classifier
  • Naive Bayes Classifier
  • Random Forest Classifier