Methods and principles of building "computer systems that automatically improve with experience."

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Good measures of feature selection and class separability in classification machine learning problems

An example of a good measure of class separability in linear discriminant learners is Fisher's linear discriminant ratio. Are there other useful metrics to determine if feature sets provide good class ...