The process of using a large number of decision trees to improve prediction accuracy is known as _______.
- Ensemble Learning
- Logistic Regression
- Naive Bayes
- Support Vector Machine
The process of using a large number of decision trees to improve prediction accuracy is known as Ensemble Learning. It involves combining the predictions of multiple models to achieve better overall performance. Logistic Regression, Naive Bayes, and Support Vector Machine are different machine learning approaches.
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