Table 9 Performance indicators of different models for acid attack.

From: Machine learning predictions of high-strength RCA concrete utilizing chemically activated fly ash and nano-silica

Model

R2

MSE

RMSE

MAE (MPa)

MAP

Random forest regression

0.909

4.097

2.024

1.532

6.36%

Decision tree regression

0.865

4.19

2.05

1.50

6.40%

XG boost

0.959

2.03

1.42

1.05

4.28%

Ada boost

0.874

4.99

2.23

1.80

7.64

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