F1Werte
F1Werte, in German often written F1-Werte, denote a family of performance metrics used to evaluate classification models, centered on the F1 score, the harmonic mean of precision and recall. Precision measures the accuracy of positive predictions, while recall assesses the ability to identify actual positives. The standard F1 score is defined as F1 = 2 × precision × recall / (precision + recall).
In practice, F1Werte can be computed in several forms for different evaluation needs. The macro-F1 averages
F1Werte are widely used in information retrieval, natural language processing, computer vision, and medical diagnostics. They
Overall, F1Werte provide a concise, interpretable single-number summary of a model’s ability to identify positive instances