Table 1 RMSE values predicted by different ML models for coating performance

From: Optimization of high-entropy alloy coating design using machine learning methods

Algorithm

Etch thickness

Hardness

Elastic modulus

Average

Training

Test

Training

Test

Training

Test

Training

Test

ANN

Mean

0.110

0.195

0.195

0.254

0.124

0.162

0.143

0.204

 

Std.

0.030

0.029

0.030

0.051

0.025

0.021

0.028

0.034

RF

Mean

0.551

0.948

0.280

0.460

0.337

0.406

0.389

0.605

 

Std.

0.172

0.362

0.056

0.151

0.043

0.135

0.090

0.216

XGBoost

Mean

0.536

0.533

0.457

0.397

0.226

0.323

0.406

0.418

 

Std.

0.142

0.216

0.057

0.077

0.039

0.080

0.079

0.124

SVM

Mean

0.115

0.660

0.240

0.241

0.131

0.148

0.162

0.350

 

Std.

0.024

0.437

0.045

0.061

0.023

0.031

0.031

0.176

  1. Bold text indicates the best performance.