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Table 14 Mean validation metric values (5-Fold) at different percentile decision thresholds, 1 year after diagnosis

From: Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome

Thres.

TPR

TNR

PPV

NPV

F1-Score

J

p25

0.85\( \pm \)0.02

0.65\( \pm \)0.07

0.9\( \pm \)0.02

0.56\( \pm \)0.09

0.87\( \pm \)0.01

0.51\( \pm \)0.08

p50

0.6\( \pm \)0.02

0.83\( \pm \)0.06

0.92\( \pm \)0.03

0.38\( \pm \)0.06

0.72\( \pm \)0.02

0.42\( \pm \)0.09

p75

0.31\( \pm \)0.0

0.96\( \pm \)0.04

0.96\( \pm \)0.04

0.29\( \pm \)0.03

0.47\( \pm \)0.0

0.26\( \pm \)0.04

max(J)

0.81\( \pm \)0.06

0.77\( \pm \)0.08

0.92\( \pm \)0.03

0.55\( \pm \)0.1

0.86\( \pm \)0.03

0.58\( \pm \)0.06

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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