A robust fraud detection model for financial transactions, with 92.2% accuracy and a recall of 98% in detecting fraudulent transactions. The model, trained on 6.3 million records, using Python on ...

We have taken a credit card fraud dataset from Kaggle and applied K Neighbor Classifiers (KNC), Support Vector Classifiers (SVC), and decision tree machine-learning methods to this dataset. We have ...

The Department of Health and Human Services has launched a pilot program to tackle Medicare fraud using tree-based artificial intelligence models and deep learning approaches, HHS Chief Information ...

We have taken a credit card fraud dataset from Kaggle and applied K Neighbor Classifiers (KNC), Support Vector Classifiers (SVC), and decision tree machine-learning methods to this dataset. We have ...