When creating machine learning models, a key initial step is to identify the type of model required.
One of these is the classification model. Which of these statements define a classification model?
A. A type of machine learning model for distinguishing among two or more discrete values. E.g.
“book”, “car”.
B. A type of machine learning model is a meta-model maker, which classifies algo-rithms based on the quality of their output.
C. A type of machine learning model that outputs continuous (typically, floating-point) values. E.g. the predicted price of the house is $120,000.
D. A type of classic model approach that is less used today and which has been re-placed by the regression model.
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