HELP! - How can I determine the quality of attributes for specific predictions?
This is really baking my noodle: I'd like to understand how to determine the quality of a predictor in a built model. That is, is there an operator/method to determine the attribute(s) - and even values - that provide for the prediction output?
It's a binary classification problem; model accuracy and other performance measures are fine, but just adding a 'Weights By..' operator to the data doesn't seem legit. That and it doesn't provide values like a decision tree would for the splits. But that in itself is a problem: a GBT model with 20 trees means I can't distill the splits to something readable/manageable that can be applied to a business context.