Which data mining technique is primarily used for classification and regression tasks and works by constructing a multitude of decision trees during training?

  • Apriori Algorithm
  • K-Means Clustering
  • Principal Component Analysis
  • Random Forest
The Random Forest technique is used for classification and regression tasks. It constructs a multitude of decision trees during training and combines their results to improve accuracy and reduce overfitting. This ensemble approach is effective for predictive modeling.
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