In general, which of the following is/are the advantage(s) of ensemble techniques?A) Better PredictionB) Lower time of executionC) Simpler than the base modelAnswer choicesSelect only one optionREVISITOnly AB and CA and BOnly C
Question
In general, which of the following is/are the advantage(s) of ensemble techniques?A) Better PredictionB) Lower time of executionC) Simpler than the base modelAnswer choicesSelect only one optionREVISITOnly AB and CA and BOnly C
Solution
The correct answer is "Only A". Ensemble techniques, such as bagging, boosting, and stacking, are used to improve the prediction accuracy of a model, which is why option A, "Better Prediction," is correct. However, ensemble techniques are not simpler than the base model (option C) because they involve combining multiple models, which adds complexity. They also do not lower the time of execution (option B) because running multiple models typically takes more time than running a single model. Therefore, options B and C are not advantages of ensemble techniques.
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