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Table 4 Classwise performance metrics of SVM classifier using best-performing modified datasets evaluated against GTEx test set

From: A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions across independent studies

Type

n

Sensitivity

Specificity

PPV

NPV

Accuracy

AUROC

F1-score

BLCA

11

1.00 (1.00–1.00)

0.99 (0.98–0.99)

0.22 (0.17–0.23)

1.00 (1.00–1.00)

0.99 (0.98–0.99)

1.00 (1.00–1.00)

0.35 (0.30–0.38)

BRCA

304

0.97 (0.96–0.98)

1.00 (0.99–1.00)

0.96 (0.93–0.98)

1.00 (1.00–1.00)

0.99 (0.99–1.00)

1.00 (1.00–1.00)

0.97 (0.95–0.98)

CESC

6

0.33 (0.02–0.52)

0.99 (0.98–1.00)

0.02 (0.00–0.06)

1.00 (1.00–1.00)

0.99 (0.98–0.99)

0.97 (0.96–0.99)

0.04 (0.03–0.11)

COAD

281

0.64 (0.63–0.65)

1.00 (1.00–1.00)

0.99 (0.99–0.99)

0.97 (0.97–0.97)

0.97 (0.97–0.97)

0.97 (0.97–0.98)

0.78 (0.77–0.79)

GI

706

0.71 (0.69–0.72)

0.81 (0.81–0.82)

0.50 (0.49–0.51)

0.91 (0.91–0.92)

0.79 (0.78–0.79)

0.77 (0.76–0.80)

0.59 (0.57–0.59)

HNSC

101

0.23 (0.20–0.26)

0.95 (0.95–0.96)

0.11 (0.10–0.15)

0.98 (0.97–0.98)

0.93 (0.92–0.93)

0.91 (0.91–0.93)

0.15 (0.13–0.19)

KIRC

48

0.98 (0.98–0.98)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

0.99 (0.99–0.99)

LIHC

187

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

LUAD

470

0.98 (0.98–0.99)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

0.99 (0.99–0.99)

PAAD

263

0.00 (0.00–0.01)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

0.92 (0.92–0.92)

0.92 (0.92–0.92)

0.96 (0.92–0.98)

0.01 (0.01–0.01)

PCPG

204

0.96 (0.95–0.96)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

0.98 (0.98–0.98)

PRAD

158

0.88 (0.86–0.89)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

0.99 (0.99–0.99)

0.99 (0.99–0.99)

1.00 (1.00–1.00)

0.94 (0.92–0.94)

THCA

486

0.94 (0.93–0.95)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

0.99 (0.99–0.99)

0.99 (0.99–0.99)

1.00 (1.00–1.00)

0.97 (0.96–0.97)

UCEC

115

0.78 (0.51–0.93)

1.00 (1.00–1.00)

1.00 (0.98–1.00)

0.99 (0.98–1.00)

0.99 (0.98–1.00)

1.00 (1.00–1.00)

0.88 (0.67–0.96)

  1. n = number of test samples; Values indicate the median of each metric with five models evaluated from the outer folds of cross-validation; Inside the parentheses denotes the 95% confidence interval