Porovnať metódy

	Grafy zdvihu a zisku (Lift and Gain Charts)	Plocha pod krivkou Precision-Recall (PR AUC)
Odbor	Hodnotenie modelov	Hodnotenie modelov
Rodina	MCDM	MCDM
Rok vzniku	1990s	2006
Tvorca	Data mining and marketing analytics	Davis and Goadrich
Typ	Evaluation visualization	Evaluation metric
Pôvodný zdroj	Maimon, O. Z., & Rokach, L. (Eds.). (2010). Data Mining and Knowledge Discovery Handbook (2nd ed.). Springer.	Davis, J., & Goadrich, M. (2006). The relationship between precision-recall and ROC curves. Proceedings of the 23rd International Conference on Machine Learning, 233-240.
Ďalšie názvy	Cumulative Gain Chart, Lift Curve	PR AUC, PR Curve
Príbuzné	2	4
Zhrnutie	Lift and gain charts visualize classifier performance by showing how much better the model performs compared to random selection, particularly useful for ranking or scoring tasks where you select a top percentage of samples. They are widely used in marketing, credit scoring, and fraud detection.	The Precision-Recall Area Under the Curve (PR AUC) is the area under the curve formed by plotting recall on the x-axis and precision on the y-axis. It is particularly useful for evaluating classifiers on imbalanced datasets, where it is often more informative than ROC AUC.