Extreme Gradient Boosting Regressor Solution for Defy in Drilling of Materials

Table 5

XGBoost regressor predicted values and actual values.

S. No.	Speed	Feed	Angle	Prediction output surface roughness in micron	Experimental output (from validation experiments) surface roughness in micron	Deviation between predicted data and experimental data
1	500	0.1	70	0.791179121	0.79	0.001
2	500	0.15	90	1.014292955	1.0	0.014
3	500	0.2	110	1.540123343	1.52	0.02
4	500	0.25	120	1.540123343	1.52	0.02
5	700	0.1	70	0.791179121	0.80	0.009
6	700	0.15	90	1.014292955	1.0	0.014
7	700	0.2	110	1.540123343	1.53	0.01
8	700	0.25	120	1.540123343	1.53	0.01
9	1000	0.1	70	0.828593671	0.82	0.009
10	1000	0.15	90	1.044688106	1.1	0.055
11	1000	0.2	110	1.50600183	1.5	0.006
12	1000	0.25	120	1.50600183	1.5	0.006
13	1400	0.1	70	0.82450515	0.83	0.005
14	1400	0.15	90	1.044688106	1.0	0.045
15	1400	0.2	110	1.517023683	1.49	0.027
16	1400	0.25	120	1.517023683	1.52	0.003
17	1600	0.1	70	0.985206783	0.98	0.005
18	1600	0.15	90	1.259504914	1.1	0.16
19	1600	0.2	110	1.803998828	1.8	0.004
20	1600	0.25	120	1.803998828	1.8	0.004
Mean deviation in 20 data sets = 0.0214 micron