"A decision tree that is used for prediction of categorical data." (Glenn J Myatt, "Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining", 2006)
"One of the main 'workhorse' techniques in data mining; used to predict membership of cases in the classes of a categorical dependent variable from their measurements predictor variables. Classification trees typically split the sample on simple rules and then resplit the subsamples, etc., until the data can’t sustain further complexity." (Robert Nisbet et al, "Handbook of statistical analysis and data mining applications", 2009)
"A machine learning approach that uses training data to create a model that can then be used for assigning cases (for example, workers) in a dataset to different possible groupings (for example, leavers or stayers)." (Jonathan Ferrar et al, "The Power of People", 2017)
"a form of classification algorithm in which features are examined in sequence, with the response indicating the next feature to examine, until a classification is made." (David Spiegelhalter, "The Art of Statistics: Learning from Data", 2019)
"A tree showing equivalence partitions hierarchically ordered, which is used to design test cases in the classification tree method. See also classification tree method." (SQA)
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