Methodology for Estimating the Cost of Construction Equipment Based on the Analysis of Important Characteristics Using Machine Learning Methods

Table 10

Evaluation of the accuracy of the neural network.

Neural network
Type of heavy machinery	Accuracy estimate
	R2_score	MAE	MSE	RMSE
Bulldozers	—	5624	54007801	7349
Loaders	—	5437	47499664	6892
Excavators	—	6015	62615569	7913