Table 3 Comparison with other techniques.

From: An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis

Method

Maximum residual error

Mean absolute error

Mean squared error

Median absolute error

Proposed cascade scheme

1.312

0.051

0.007

0.032

SVR(rbf)

14.454

0.063

0.041

0.048

SVM(rbf)-based cascade scheme

11.984

0.110

0.077

0.062

Extended-input SGTM neural-like structure

2.183

0.146

0.048

0.097

Gradient Boosting Regressor

6.412

0.343

0.264

0.227

SVR(linear)

10.516

1.065

3.007

0.607

SGTM neural-like structure

9.526

1.121

2.676

0.778

LinearRegression

9.520

1.121

2.676

0.779

ARD Regressor

9.539

1.121

2.676

0.779

Bayesian Ridge Regressor

9.542

1.121

2.677

0.780

Ridge Regressor

9.552

1.122

2.678

0.783

SVR(poly)

43.11

1.652

5.928

1.121

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