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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 algorithms 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.
Suggested Answer: A
Explanation:
A classification model classifies the incoming data into one or more discrete classes.
Explanation:
A classification model classifies the incoming data into one or more discrete classes.
Posted : 26/01/2023 11:45 pm