Data scientists always use multiple algorithms for prediction and they combine output of multiple machine learning algorithms (known as “Ensemble Learning”) for getting more robust or generalized output which outperform all the individual models. In which of the following options you think this is true (Choose best possible answer)?
A) Base models having the higher correlation.
B) Base models having the lower correlation.
C) Use “Weighted average” instead of “Voting” methods of ensemble.
D) Base models coming from the same algorithm
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"Data scientists always use multiple algorithms for prediction and they combine output of multiple machine learning algorithms (known as “Ensemble Learning”) for getting more robust or generalized output which outperform all the individual models.
The right option for the given question is B) Base models having the lower correlation.\
It is because initially, the learners are independent.
"
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