I just finished reading a tutorial about the evaluation techniques for classification models. I understand precision and recall and the formula for F1-Score:

F1-Score = 2 Precision * Recall / precision + recall

But I don’t understand the reasoning behind using the harmonic mean. Can’t we simply use the average (Arithmetic mean):

F1score = precision + recall / 2