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You're reading from  R Machine Learning Projects

Product typeBook
Published inJan 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789807943
Edition1st Edition
Languages
R
Tools
H2OTensorFlow
Concepts
Machine Learning
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Author (1)
Dr. Sunil Kumar Chinnamgari
Dr. Sunil Kumar Chinnamgari
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Dr. Sunil Kumar Chinnamgari

Dr. Sunil Kumar Chinnamgari has a Ph.D. in computer science and specializes in machine learning and natural language processing. He is an AI researcher with more than 14 years of industry experience. Currently, he works in the capacity of lead data scientist with a US financial giant. He has published several research papers in Scopus and IEEE journals and is a frequent speaker at various meetups. He is an avid coder and has won multiple hackathons. In his spare time, Sunil likes to teach, travel, and spend time with family.
Read more about Dr. Sunil Kumar Chinnamgari

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The credit card fraud dataset

Generally in a fraud dataset, we have sufficient data for the negative class (non-fraud/genuine transactions) and very few or no data for the positive class (fraudulent transactions). This is termed a class imbalance problem in the ML world. We train an AE on the non-fraud data and learn features using the encoder. The decoder is then used to compute the reconstruction error on the training set to find a threshold. This threshold will be used on the unseen data (test dataset or otherwise). We use the threshold to identify those test instances whose values are greater than the threshold as fraud instances.

For the project in this chapter, we will be using a dataset that is sourced from this URL: https://essentials.togaware.com/data/. This is a public dataset of credit card transactions. This dataset is originally made available through the research...

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R Machine Learning Projects
Published in: Jan 2019Publisher: PacktISBN-13: 9781789807943
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Dr. Sunil Kumar Chinnamgari

Dr. Sunil Kumar Chinnamgari has a Ph.D. in computer science and specializes in machine learning and natural language processing. He is an AI researcher with more than 14 years of industry experience. Currently, he works in the capacity of lead data scientist with a US financial giant. He has published several research papers in Scopus and IEEE journals and is a frequent speaker at various meetups. He is an avid coder and has won multiple hackathons. In his spare time, Sunil likes to teach, travel, and spend time with family.
Read more about Dr. Sunil Kumar Chinnamgari

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