I am confused about what is meant by this? Do I need to train the models and set the threshold value accordingly so that I may obtain 98% accuracy? And for the second one, I need to decrease the threshold value so that accuracy comes down to 85%?
I am stuck in this for a while. Please help me show the correct path. Thanks.
data: German Credit Risk data.
Variables: Several independent variables with the dependent variable "Credit_Risk" which responses in "Good" and "Bad".