Decision Tree Classifier for diabetes

roll nos : 106122003,106122041,106122057 and 106122061

Setting up

• 1 create a new folder and navigate into the folder
• 2 clone the repo(copy the code as below)

git clone https://github.com/Adityadln/Decision_tree_for_diabetes.git .

• 3 Getting the packages

pip install -r requirements.txt

• 4 Run the code

python3 Decision_tree.py

• 5 initially the graphs folder will be empty but upon running there will be two graphs.
• 6 The metrics and the decision tree split will be printed onto the terminal.

Data

• 1 the data is taken from Kaggle,below is the url

https://www.kaggle.com/datasets/mathchi/diabetes-data-set

graphs