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Project 09 · Machine learning

Machine Learning Model · Fraud with Logistic Regression

✅ published

Supervised logistic regression model for credit card fraud detection.

Python
SPSS
Machine Learning
Logistic regression
Classification
Fraud

CONTEXT AND OBJECTIVE

Model fraud probability from transactional variables and review which signals contribute most to supervised classification.

DATA AND DIAGNOSIS

  • Variables are prepared for supervised training.
  • Logistic regression is applied as an interpretable baseline.
  • Performance, classification and variable contribution are read to evaluate fraud signals.

DELIVERY AND LEARNING

The delivery shows the full flow of an interpretable supervised model, with an SPSS Modeler implementation and comparative Python support.