GitHub - tpllaha/decisionTree: A class that can be used to learn a decision tree to classify items. It takes a CSV file (with no missing attributes). Every column besides the last is treated as an attribute for each row. The last column should specify the class value. The only constraint is that attribute and class values can only be integers (discrete). A demonstration of how to use it is given in the main function.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
SPECT.test		SPECT.test
SPECT.train		SPECT.train
decision_tree.cpp		decision_tree.cpp

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A class that can be used to learn a decision tree to classify items. It takes a CSV file (with no missing attributes). Every column besides the last is treated as an attribute for each row. The last column should specify the class value. The only constraint is that attribute and class values can only be integers (discrete). A demonstration of ho…