A Machine Learning Approach to Optimize, Model, and Predict the Machining Factors in Dry Drilling of Nimonic C263

Table 4

ANOVA for cutting force.

Source	SOS	df	MS	F value	value
Model	7.462E + 05	9	82907.42	113.34	<0.0001
N	5.787E + 05	1	5.787E + 05	791.17	<0.0001
F	20931.63	1	20931.63	28.62	<0.0001
2ρ	72323.10	1	72323.10	98.87	<0.0001
	2087.67	1	2087.67	2.85	0.1094
	76.19	1	76.19	0.1042	0.7508
	3747.33	1	3747.33	5.12	0.0370
N^2	32511.57	1	32511.57	44.45	<0.0001
f^2	16.81	1	16.81	0.0230	0.8813
2ρ^2	3937.57	1	3937.57	5.38	0.0330
Residual	12435.11	17	731.48
Cot. total	7.586E + 05	26
R-square: 98% and adj. R-square: 97%