Random model
Regression model
Supervised model
Ensemble model
Answer is Wrong!
Answer is Right!
The correct answer is D. Ensemble model.
An ensemble model is a type of machine learning model that combines the predictions of multiple models to make a more accurate prediction. This is done by training multiple models on the same data set and then averaging or voting on their predictions. Ensemble models can be used for both classification and regression tasks.
A random model is a type of machine learning model that makes predictions based on random chance. This type of model is not very accurate and
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