From: Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques
Models’ prediction
Actual values in the dataset
Backorder
Non-backorder
TP
11,915
FP
1518
FN
3265
TN
426,522