Table 1 Analyzing the statistical factors of the developed GPR model with exponential, matern5/2, rational quadratic, and squared exponential kernel functions (Features = 41).
From: Artificial intelligence approach for estimating energy density of liquid metal batteries
Model | Group | R2 | MRE | MSE | RMSE | MAE |
|---|---|---|---|---|---|---|
GPR (Exponential) | Train data | 0.997645 | 0.00839 | 7.698478 | 2.774613 | 1.1020 |
Test data | 0.997492 | 0.004412 | 6.302076 | 2.510394 | 0.6152 | |
Total data | 0.997633 | 0.007198 | 7.279962 | 2.69814 | 0.9561 | |
GPR (Matern5/2) | Train data | 0.995195 | 0.015379 | 15.84408 | 3.980462 | 2.1249 |
Test data | 0.995793 | 0.007135 | 10.35198 | 3.217449 | 1.0502 | |
Total data | 0.995386 | 0.012907 | 14.19724 | 3.767923 | 1.8027 | |
GPR (Rational Quadratic) | Train data | 0.996497 | 0.011183 | 11.52798 | 3.395288 | 1.5565 |
Test data | 0.996875 | 0.005896 | 7.750085 | 2.783897 | 0.7774 | |
Total data | 0.996621 | 0.009598 | 10.39516 | 3.224153 | 1.3229 | |
GPR (Squared Exponential) | Train data | 0.992955 | 0.020191 | 22.93581 | 4.789134 | 2.8428 |
Test data | 0.991203 | 0.011661 | 22.65373 | 4.759594 | 1.7815 | |
Total data | 0.992573 | 0.017633 | 22.85122 | 4.780295 | 2.5246 |
