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. 2023 Jul 22;8(10):2153–2155. doi: 10.1016/j.ekir.2023.07.004

Table 2.

Prediction results for kidney disease progression in ADPKD using baseline HtTKV plus principal components of transformed baseline features

Cross Validation
1 2 2 4 5 Mean SD
HtTKV + Gabor + GLCM
Accuracy 0.50 0.79 0.79 0.64 0.73 0.69 0.11
Precision 0.44 0.70 0.87 0.57 0.86 0.69 0.16
Recall 0.67 1.00 0.78 0.67 0.67 0.76 0.13
F1 0.53 0.82 0.82 0.61 0.75 0.71 0.12
AUC 0.60 0.83 0.89 0.60 0.70 0.70

ADPKD, autosomal dominant polycystic kidney disease; AUC, area under the curve; GLCM, gray level co-occurrence level; HtTKV, height corrected total kidney volume.

AUC is calculated based on the average receiver operating characteristic (ROC) curve of the 5-fold cross validation models.