Xente Fraud Detection Challenge
$4,500 USD
Accurately classify the fraudulent transactions from Xente's e-commerce platform
20 May–22 September 2019 23:59
685 data scientists enrolled, 335 on the leaderboard
Data manipulation
published 21 Jun 2019, 09:05

Guys am having issues with preparing my training data for prediction , for-example the acountId , customerId etc how can i convert the into float values to allow the model understand well

Eric Peters you can use mean encoding, Weights of Evidence, frequency encoding etc . Search Online for various methods.

edited 1 minute later

Mean/target encoding works quite well in most cases but presents a unique problem called target leakage. But not to worry, it has a minimal effect on performance.