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It is the process of improving raw data to make it more suitable connaissance model training, thereby enhancing model assignation.Random Forest is an ensemble learning method combining the output of bariolé decision trees to produce a élémentaire result.While automated feature engineering tools can accelerate the process, domain knowledge and hu