Accuracy and F1 score with respect to the size of the training set. While a high accuracy (> 0.99) is easily reached here, the F1 score is preferred to asses the performance of a binary classifier with imbalanced classes. We achieve a good performance (F1 score of 0.9) in the test set for a training set size of 5 \(\times\) 105 samples.