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Table 1 ROC_AUC of machine learning models

From: Application of machine learning to identify risk factors of birth asphyxia

Algorithms

ROC_AUC

Accuracy

Logistic Regression

0.88

0.88

Decision Tree Classification

0.98

0.98

Random Forest Classification

0.99

0.99

XGBoost Classification

0.93

0.92

Permutation Feature Classification with KNN

0.98

0.98

Light GBM

0.93

0.93

Deep Learning-Feed Forward

1.0

0.98

SVM

0.88

0.88