On Predictive Modeling for the Al₂O₃ Data Using a New Statistical Model and Machine Learning Approach

Table 5

The plan parameters and OC values for NGExp-Weibull distribution for , and .

β
		c	n		c	n		c	n		c	n		c	n
0.25	2	1	5	0.9950	1	2	0.9749	4	5	0.9688	18	19	0.9546	—	—	—
	4	0	3	0.9978	1	2	1.0000	0	1	0.9771	1	2	0.9954	1	2	0.9749
	6	0	3	0.9997	1	2	1.0000	0	1	0.9969	0	1	0.9907	0	1	0.9771
	8	0	3	0.9999	1	2	1.0000	0	1	0.9993	0	1	0.9978	0	1	0.9945
	10	0	3	1.0000	1	2	1.0000	0	1	0.9998	0	1	0.9993	0	1	0.9982
0.10	2	1	7	0.9898	1	2	0.9749	4	5	0.9688	18	19	0.9546	—	—	—
	4	0	4	0.9971	0	1	0.9945	0	1	0.9771	1	2	0.9954	1	2	0.9749
	6	0	4	0.9996	0	1	0.9993	0	1	0.9969	0	1	0.9907	0	1	0.9771
	8	0	4	0.9999	0	1	0.9998	0	1	0.9993	0	1	0.9978	0	1	0.9945
	10	0	4	1.0000	0	1	0.9999	0	1	0.9998	0	1	0.9993	0	1	0.9982
0.05	2	1	8	0.9867	1	2	0.9749	4	5	0.9688	18	19	0.9546	—	—	—
	4	0	5	0.9964	0	1	0.9945	0	1	0.9771	1	2	0.9954	1	2	0.9749
	6	0	5	0.9995	0	1	0.9993	0	1	0.9969	0	1	0.9907	0	1	0.9771
	8	0	5	0.9999	0	1	0.9998	0	1	0.9993	0	1	0.9978	0	1	0.9945
	10	0	5	1.0000	0	1	0.9999	0	1	0.9998	0	1	0.9993	0	1	0.9982
0.01	2	1	11	0.9750	2	4	0.9860	4	5	0.9688	—	—	—	—	—	—
	4	0	7	0.9949	0	2	0.9890	0	1	0.9771	1	2	0.9954	1	2	0.9749
	6	0	7	0.9993	0	2	0.9985	0	1	0.9969	0	1	0.9907	0	1	0.9771
	8	0	7	0.9998	0	2	0.9997	0	1	0.9993	0	1	0.9978	0	1	0.9945
	10	0	7	0.9999	0	2	0.9999	0	1	0.9998	0	1	0.9993	0	1	0.9982