Financial fraud prediction mechanism using machine learning and distributed processing

Predicted attribute:
Class of fraud detection

Number of Instances:
6.353.307

Number of Attributes:
11 attributes (5 Decimal, 3 Integer, 3 String)

Class Distribution:
6.354.407 without fraud and 8.213 with fraud

Requirements:
Python Version: 3.6.9
Apache Spark Version: 2.4.5

Daniel Gleison M. Lira
Mestrado Acadêmico em Ciência da Computação
Universidade Estadual do Ceará (UECE)
daniel.gleison@aluno.uece.br

Name		Name	Last commit message	Last commit date
Artigo_ML_DanielGleison_R01.pdf		Artigo_ML_DanielGleison_R01.pdf
ML_DetectionFraud.ipynb		ML_DetectionFraud.ipynb
README.md		README.md

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