Hi all,
i have two datasets with a label that contains two different values (Fraud=yes or Fraud=no).
I recognized that one algorithmn is better for fraud detection "yes" and the other one for fraud detection "no". So I want to know, how to combine both result sets / algorithmn to get an better result. I will aggregate the results and got one confusion matrix. Which operator can i use for this task?
Many thanks for your help!
Regard,
Johnson
