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Heritage Science

Table 4 Comparison of 3 chosen regression methods

From: Corrosion prediction for preventive protection of aircraft heritage

Method

\({R}^2\)

MAPE

Extra Trees

0.9147

0.2159

k-Neighbors Regressor

0.8446

0.2597

Gaussian Process

0.7708

0.3068

Extra Trees1

0.8210

0.3136

k-Nearest Neighbors1

0.7601

0.3560

Gaussian Process1

0.6007

0.4988

Extra Trees2

0.6907

0.4379

k-Nearest Neighbors2

0.7027

0.4323

Gaussian Process2

0.5069

0.5453

  1. \(^{1}\) Regression not including \({\hbox {SO}}_{2}\), \({\hbox {PM}}_{2.5}\), and \({\hbox {PM}}_{10}\) concentration as inputs
  2. \(^{2}\) Regression not including wind speed, \({\hbox {SO}}_{2}\), \({\hbox {PM}}_{2.5}\), and \({\hbox {PM}}_{10}\) concentration as inputs
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