Training and testing correlation
Hello,
When I test a model on known data, as a result I have an accuracy. Is this accuracy always greater than the accuracy I have when I use cross validation where I want to see how my model reacts to unknown data?
So, doing the steps in tutorial "Testing a model" , if I have bad accuracy, should I try to find another model or prepare different my data and not go on a cross validation or something else?
Thanks in advance.
When I test a model on known data, as a result I have an accuracy. Is this accuracy always greater than the accuracy I have when I use cross validation where I want to see how my model reacts to unknown data?
So, doing the steps in tutorial "Testing a model" , if I have bad accuracy, should I try to find another model or prepare different my data and not go on a cross validation or something else?
Thanks in advance.