Prediction of genomic biomarkers for endometriosis using the transcriptomic dataset

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Jul 16, 2025 (publication date) through Apr 15, 2025

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World Journal of Clinical Cases

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2307-8960

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Cases. Jul 16, 2025; 13(20): 104556
Published online Jul 16, 2025. doi: 10.12998/wjcc.v13.i20.104556

Table 3 The results of performance metrics for the model

	AdaBoost	XGBoost	Stochasting Gradient Boosting	Bagged CART
Accuracy	71.4	85.7	71.4	85.7
Balanced accuracy	70.8	83.3	66.7	85.7
Sensitivity	66.7	66.7	33.3	100
Specificity	75.0	100	100	75
PPV	66.7	100	100	75
NPV	75.0	80.0	66.7	100
F1 score	66.7	80.0	50.0	85.7

CART: Classification and regression trees; PPV: Positive predictive value; NPV: Negative predictive value.

Citation: Kucukakcali Z, Akbulut S, Colak C. Prediction of genomic biomarkers for endometriosis using the transcriptomic dataset. World J Clin Cases 2025; 13(20): 104556
URL: https://www.wjgnet.com/2307-8960/full/v13/i20/104556.htm
DOI: https://dx.doi.org/10.12998/wjcc.v13.i20.104556