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Showing posts with label
case study
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Showing posts with label
case study
.
Show all posts
Saturday, April 18, 2015
Predicting Fraudulent Transactions in R: Part 5. Normalized Distance to Typical Price
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Hello Readers, Here we delve into a quick evaluation of quality metrics of the rankings of unlabeled reports. Previously we relied on label...
4 comments:
Saturday, March 28, 2015
Predicting Fraudulent Transactions in R: Part 4. Model Criterion, Precision & Recall
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Hello Readers, Before we start creating classification models to predict fraudulent transactions, we need to understand how to evaluate mod...
10 comments:
Tuesday, January 27, 2015
Predicting Fraudulent Transactions in R: Part 3. Handling Transaction Outliers
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Hello Readers, Welcome back! In this post we continue our case study on Detecting Fraudulent Transactions . In Part 2 , we cleaned/imputed ...
14 comments:
Sunday, July 27, 2014
Predicting Fraudulent Transactions in R: Part 2. Handling Missing Data
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Hello Readers, "We have missing data." How many times have you heard that sentence and cringed inside? If you worked with user...
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