Xente Fraud Detection Challenge
$4,500 USD
Accurately classify the fraudulent transactions from Xente's e-commerce platform
1175 data scientists enrolled, 547 on the leaderboard
20 May 2019—23 September 2019
Baseline Code which might be useful
published 13 Jul 2019, 11:34

https://github.com/markoke/Baseline_Code_Hackathon/blob/master/Xente_R_Notebook.ipynb

Very nice - didn't know you could write in R in jupyter. 😅

Been working on these problems solely in python for the last while.

Interesting to see a R notebook. Made some notes on things you were able to show easily with R during data exploration. 🗿

@mark_ok thats a beatiful look into the data - maybe to improve accuracy try XGBOOST and see how that goes

Hey, is it me who doesn't understand R very well, or you excluded TransactionStartTime from the features?