Table 4 Comparative Performance of Models.

From: Gaussian mixture model for enhancing the quality of transmission estimation in optical networks: a machine learning approach

Model

ROC-AUC

PR-AUC

F1 Score

Accuracy

Brier Score

ECE

Non-ML

0.9153

0.9959

0.9778

0.9566

0.0407

0.0383

LogReg

0.9998

1.0000

0.9966

0.9936

0.0056

0.0142

GMM

1.0000

1.0000

0.9998

0.9995

0.0004

0.0005

RF

1.0000

1.0000

1.0000

1.0000

0.0000

0.0001

GBT

1.0000

1.0000

1.0000

1.0000

0.0000

0.0000

MLP

1.0000

1.0000

0.9992

0.9984

0.0012

0.0031

Back to article page