What Affects Bus Passengers’ Travel Time? A View from the Built Environment and Weather Condition

Table 2

Comparison of five machine learning algorithms.

Model	MAE	MSE	RMSE	RMSLE	MAPE	R^2
LightGBM	7.1327	90.8591	9.5316	0.4672	0.5140	0.5620
GBDT	9.2712	146.6968	12.1110	0.5743	0.6848	0.2930
AdaBoost	11.6253	195.2151	13.9703	0.7054	1.0033	0.0592
Bayesian ridge	10.9980	196.8434	14.0292	0.6680	0.8451	0.0513
LR	10.9960	196.8575	14.0297	0.6679	0.8448	0.0513

We have used bold formatting to emphasize that the LightGBM model outperforms these performance metrics (MAE, MSE, RMSE, RMSLE, MAPE, and R²) among these models, in order to enhance the readability of the article.