This Python program provides a user-friendly menu to select and run different machine learning models on a heart attack dataset. The available models include Decision Tree, Random Forest, K-Nearest Neighbour (KNN), Support Vector Machine (SVM), and Naive Bayes. Additionally, the program allows the user to execute all the models in sequence.
- Model Selection: Choose from Decision Tree, Random Forest, K-Nearest Neighbour (KNN), Support Vector Machine (SVM), or Naive Bayes.
- All Models Option: Run all the available models sequentially.
- Interactive Menu: User-friendly selection menu with error handling for invalid inputs.
- Data Handling: Loads data from a CSV file and applies the selected machine learning model.
Make sure you have the following Python libraries installed:
pandasscikit-learn
You can install them using pip if they are not already installed:
pip install -r requirements.txt
Kypros Andreou