AI-Insurance-Fraud-Detection

*Note: although name of the file is MedicalFraud1, it is of insurance dataset I tried 5 types of machine learning models for the MedicalFraud1 dataset:

1. Logistic Regression
2. Decision Tree
3. Random Forest Classification
4. Gradient Boosting
5. Naive Bayes

And tested their accuracies

• Unzip the file "MedicalFraud1.zip" to access the "MedicalFraud1.csv" dataset.
• The Jupyter Notebook code(With extension .ipynb) with all the machine learning models can be found in the "Model.ipynb" file