Why training model give great result but real data gives very bad result: Azure ML Studio

datascience.stackexchange https://datascience.stackexchange.com/questions/28251

Question

I am using Two-Class Boosted Decision Tree to train model.

Evaluation result I'd say really good.

But when I am using real dataset - the result is very bad.

What can possibly go wrong that makes such huge difference?

Below is the screenshot of my model:

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Two Class Boosted Decision Tree parameters (default):

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No correct solution

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