قارن الطرق

	خسارة اللوغاريتم (خسارة الإنتروبيا المتقاطعة)	مقياس F1 (F1-Score)
المجال	تقييم النماذج	تقييم النماذج
العائلة	MCDM	MCDM
سنة النشأة	1990s	1979
صاحب الطريقة	Information theory and machine learning literature	C. J. van Rijsbergen
النوع	Loss function	Evaluation metric
المصدر التأسيسي	Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.
الأسماء البديلة	Cross-Entropy Loss, Logloss	F-measure, Harmonic Mean
ذات صلة	3	5
الملخص	Log-loss measures the difference between predicted probabilities and actual labels, penalizing confident wrong predictions more than uncertain ones. It is a standard loss function in machine learning optimization and evaluates probabilistic classifier calibration.	The F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important.