Experimental evaluation with cross-validation

It is extremely easy to make methodological mistakes when evaluating some machine learning system and comparing it with others. Especially when using cross-validation ! A must-read paper about this topic is: On Over-fitting in model selection and subsequent selection bias in performance evaluation So even though you are short of time …

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