From fe64ed898a4c285301bb5eefa27f3c5e287050fc Mon Sep 17 00:00:00 2001 From: Alexandre Sajus Date: Tue, 19 Dec 2023 11:22:17 +0100 Subject: [PATCH] Update docs/knowledge_base/demos/fraud_detection.md Co-authored-by: Jean-Robin --- docs/knowledge_base/demos/fraud_detection.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/knowledge_base/demos/fraud_detection.md b/docs/knowledge_base/demos/fraud_detection.md index fd22ff3eb..4f7373f4a 100644 --- a/docs/knowledge_base/demos/fraud_detection.md +++ b/docs/knowledge_base/demos/fraud_detection.md @@ -4,8 +4,9 @@ A Taipy Application that analyzes credit card transactions to detect fraud. [Get it on GitHub](https://github.com/Avaiga/demo-fraud-detection){: .tp-btn .tp-btn--accent target='blank' } # Understanding the Application -This application shows a list of credit card transactions. The user can select a date range to predict fraud on. - The application will then use an XGB model to mark potentially fraudulent transactions in red or yellow. +This application shows a list of credit card transactions. The user can select a date range to +predict fraud. The application will then use an XGB model to mark potentially fraudulent +transactions in red or yellow. ![List of Transactions Page](images/fraud_transactions.png){width=100%}