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Machine Learning for Fraud Detection by suela is a document available to read on EtoBox.
What is Machine Learning for Fraud Detection about?
This document summarizes a research paper that develops a new fraud prediction model using machine learning methods. Specifically: 1. It uses ensemble learning, a state-of-the-art machine learning technique, to predict fraud based on raw accounting numbers from financial statements, differing from prior research using logistic regression or ratios. 2. It compares the new model to two benchmark models - a logistic regression model using ratios based on prior research, and an SVM model using a "financial k
- Author
- suela
- Language
- EN