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Table 2 Mean value and standard deviation of MAEs models for predicting postoperative FEV1% on the seventh day after surgery, obtained by fivefold cross-validation

From: The role of the diaphragm in prediction of respiratory function in the immediate postoperative period in lung cancer patients using a machine learning model

No

Model

Values (mean ± std. or frequency (%))

1

Extra tree

8.64 ± 1.43

2

Random forest

9.05 ± 1.47

3

SVM linear

9.05 ± 2.06

4

Lasso

8.05 ± 2.01

5

XGBoost

10.09 ± 2.37

6

Ridge regression

9.98 ± 1.54

7

KNN

9.63 ± 1.69

8

MLP1 (7, 3, 2)

12.23 ± 1.36

9

SVM.RBF

11.38 ± 1.51

10

MLP2 (3, 2)

9.85 ± 2.00

11

LightGBM

8.90 ± 1.02

12

AdaBoost

9.45 ± 1.35

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World Journal of Surgical Oncology

ISSN: 1477-7819

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