Can I read Fraud App Detection of Google Play Store Applications Using Decision Tree 1 1-3 on EtoBox?
Fraud App Detection of Google Play Store Applications Using Decision Tree 1 1-3 by ganesh1011200505 is a document available to read on EtoBox.
What is Fraud App Detection of Google Play Store Applications Using Decision Tree 1 1-3 about?
The project report focuses on detecting fraudulent mobile applications in the Google Play Store using a Decision Tree classifier. It evaluates the effectiveness of various models, concluding that the Decision Tree model achieved an accuracy of 85% and favorable F1, recall, and precision scores. The report outlines the methodology, system design, implementation, and future scope for enhancing fraud detection systems.
- Author
- ganesh1011200505
- Language
- EN