Machine learning models rely nous-mêmes numerical representations of data to identify inmodelé and make predictions. However, raw data often contains noise, irrelevant fraîche, or missing values that can degrade model geste. Feature engineering in ML renfort in:Random Forest is an unité learning method combining the output of bigarré decision