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TableĀ 5 Performance comparison between proposed ANN based model and traditional models

From: ANN based short-term traffic flow forecasting in undivided two lane highway

Models MSE RMSE MAE RSE RRSE RAE R2
Random forest 217.718 14.7553 10.9593 0.2284 0.4779 0.4400 0.7716
Regression tree 388.380 19.7074 14.4908 0.4074 0.6383 0.5817 0.5926
SVM regression 898.723 29.9787 23.3781 0.9428 0.9710 0.9385 0.0572
K nearest neighbors Regression (KNN) 14.1294 3.7589 1.4239 0.0148 0.1217 0.0572 0.9852
Multiple linear regression 305.536 17.4796 13.3072 0.3205 0.5661 0.5342 0.6795
BP neural network 4.2848 2.06999 0.77114 0.09951 0.31546 0.16204 0.9962