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Table 2 Performance metrics of models trained on 100k_claims dataset

From: Procedure code overutilization detection from healthcare claims using unsupervised deep learning methods

Test Datasets

Metrics

DBSCAN

Autoencoder

Out-of-sample

Precision

0.22

0.87

Recall

0.58

1.0

F1

0.32

0.93

Manually annotated

Precision

0.19

0.36

Recall

0.41

0.86

F1

0.26

0.51