- Uses machine learning algorithms to classify user accounts into real or fake.
- Classifiers implemented are:
- Naive Bayes
- SVC
- K-Nearest neighbour
- Calcualtes accuracy and error rate of classifiers.
- Displays comparison results of each classifier using bar graph.
Output Window
Custom User Account
Sample Classifier accuracy
Classifier comparison
- Install required libraries using
pip install [library-name]- Execute the Python code using
python model.py- Select the dataset "twitter_data.csv" or enter custom account details.
- Choose the classifier and results will be displayed in new tab.