Table 8 Standard performance metrics for Machine Learning models for the prediction of PCa aggressiveness

Random forest

0.69 (0.57–0.81)

0.69 (0.57–0.81)

0.67 (0.54–0.79)

0.60 (0.47–0.73)

0.78 (0.67–0.89)

Logistic regression

0.50 (0.37–0.63)

0.77(0.66–0.88)

0.63 (0.50–0.75)

1

0

KNN

0.57 (0.44–0.70)

0.73 (0.61–0.84)

0.63 (0.5–0.75)

0.80 (0.69–0.91)

0.33 (0.21–0.46)

Decision tree

0.43 (0.30–0.56)

0.29 (0.17–0.41)

0.38 (0.25–0.50)

0.20 (0.09–0.31)

0.67 (0.54–0.79)