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Table 7 Uncalibrated/ calibrated Log Loss of classifiers for the final VA of OGI patients

From: Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches

Models Name

Uncalibrated log loss

Calibrated log loss

SVM

0.716

0.586

NB

1.487

0.794

DT

3.802

0.584

KNN

0.800

0.734

LR

0.734

0.756

Bagging

3.289

0.262

ADA

0.999

0.733

XGB

0.733

0.328

RF

0.522

0.246

ANN

0.476

0.232

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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