This article is about implementation of different supervised machine learning algorithms for classification and to check which works well for our data-set.
A decision tree graphically represents a series of decision points with branching occurring at each decision point forming a treelike structure. A decision tree maps out each possible outcome and will often also include the probability of each outcome.
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