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Table 6 Output comparison between final model, OR (Original Reader), and OOBTR (Out Of Box Test Reader). Model output compared with OOBTR and OR using multiple evaluation metrics for the multiclass classification problem

From: A radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays

 

O.O.B.T.R.- O.R.

Model- O.R.

Model- O.O.B.T.R.

MAE

0.4560

0.3305

0.4316

Precision

61.63

68.31

71.18

Recall

62.05

67.12

68.70

F1

61.38

66.99

69.05

R-squared

0.55

0.614

0.6769