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Incompleteness of data sample Noise in the data Stochastic nature of the modeling algorithm You cannot achieve the best score but it is good to know what the best possible performance is for your chosen measure You know that true model performance will fall within a range between the baseline and the best possible score.

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Undersampling and oversampling techniques significantly enhance the F1 score This is a good thing! However this performance gain is at the expense of the overall quality of our models Our model 4 (Gradient Boosting with undersampling) is the best model as it is almost as performant as model 2 but is generally of better quality Wait!.