Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. Statistical learning theory deals with the problem of finding a predictive function based on data.
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Decision tree learning is one of the predictive modeling approaches used in statistics, data mining and machine learning.
