| | Params of heavy machinery | Real price | Estimated values | Trained models | | Estimated price | Estimated range |
| | Brand-New Holland, model-C227, weight-3.72 tons, payload-1200 kg, country of operation-Belgium, bucket volume-0.79 tons, interior protection design-cabin, steering mode-tank steering, max unloading height-2.4 m, hours worked-2400, year of manufacture-2017 | 34,900$ | 59,860$ | 58,521−67,120$ | Linear regression | | 62,640$ | 55,240−64,199$ | Polynomial regression | | 32,008$ | 29,067−34,949$ | Decision tree | | 32,899$ | 28,077−33,653$ | Random forest | | 33,865$ | 29,275−40,523$ | Neural network |
| | Brand-John Deere, model-650, weight-9.32 tons, payload-4500 kg, country of operation-Belgium, bucket volume-0.3 tons, interior protection design-enclosed, steering mode-tank steering, hours worked-5778, year of manufacture-2013 | 57,500$ | 49,860$ | 47,309−64,714$ | Linear regression | | 43,135$ | 39,680−55,390$ | Polynomial regression | | 54,322$ | 49,270−64,125$ | Decision tree | | 58,090$ | 54,637−59,230$ | Random forest | | 56,445$ | 53,675−58,528$ | Neural network |
| | Brand-Kubota, model-KX040, weight-4.17 tons, payload-420 kg, country of operation-Belgium, bucket volume-0.17, interior protection design-cabin, steering mode-rubber tracks, max unloading height-5.41 m, hours worked-1200, year of manufacture-2019 | 51,000$ | 39,653$ | 30,205−44,632$ | Linear regression | | 38,205$ | 35,840−48,489$ | Polynomial regression | | 53,236$ | 49,767−52,480$ | Decision tree | | 50,800$ | 48,685−52,135$ | Random forest | | 49,930$ | 47,913−51,987$ | Neural network |
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