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Fig. 6 | BMC Medical Informatics and Decision Making

Fig. 6

From: Identification and validation of cuproptosis related genes and signature markers in bronchopulmonary dysplasia disease using bioinformatics analysis and machine learning

Fig. 6

Machine learning model prediction accuracy check. (A) Nomogram showing prediction of BPD prevalence using signature genes. (B) Calibration curve illustrating the accuracy of nomogram. (C) Decision curve illustrating the accuracy of the model. (D) Validate model accuracy on the GSE190215. (E) Validate model accuracy on the GSE188944.

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