This method is avoided for the lung cancer dataset from Kaggle, and a fragmented model is used to undermine the model's performance. It is seen that among the combinations, the stacked model and SVM ...

Popular statistical and machine-learning methods for detecting interactions among features include decision trees and their ensembles: CART , random forests (RFs) , Node Harvest , Forest Garrote , and ...

Our analysis revealed that Random Forest consistently outperformed other models in balancing predictive accuracy and alignment with financial forecasts. Among the tested configurations, the ...

Random forest is effective and accurate in making predictions for classification and regression problems, which constitute the majority of machine learning applications or systems nowadays. However, ...