Table 2 Performance results of ANN in three independent datasets.

From: Construction of a machine learning-based artificial neural network for discriminating PANoptosis related subgroups to predict prognosis in low-grade gliomas

Dataset

TN

FN

TP

FP

Specificity

Sensitivity

Accuracy

AUC

Train

460

10

194

21

0.9563410

0.9509804

0.9547445

0.98

mRNAseq_325

209

3

45

68

0.754512

0.9375000

0.781538

0.89

GSE43378

20

10

20

0

1

0.6666667

0.8000000

0.92

trainCV

117

3.75

7.8

45.3

0.9358631

0.8887498

0.9226744

0.97

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