Table 1 Summary of the results for fitting the dataset.

From: Development of hybrid computational model for simulation of heat transfer and temperature prediction in chemical reactors

Model

MAE

RMSE

AARD%

R2 Score

Bayesian Ridge Regression

1.11406E + 00

1.3968E + 00

3.44658E-01

0.86039

Deep Neural Network

2.52043E-01

3.7123E-01

7.80411E-02

0.99147

Support Vector Machine

8.21485E-01

1.0367E + 00

2.53718E-01

0.93108

Attention-based Deep Neural Network

1.91511E-01

3.0329E-01

5.93401E-02

0.99432