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

Table 3

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	4	12	0.9651	4	7	0.9573	6	8	0.9648	7	8	0.9673	11	12	0.9549
	4	1	5	0.9819	1	3	0.9736	1	2	0.9728	2	3	0.9855	2	3	0.9645
	6	1	5	0.9961	0	1	0.9555	1	2	0.9940	1	2	0.9860	1	2	0.9728
	8	0	3	0.9663	0	1	0.9747	2	1	0.9555	1	2	0.9953	1	2	0.9906
	10	0	3	0.9783	0	1	0.9837	2	2	0.9712	0	1	0.9555	1	2	0.9960
0.10	2	5	17	0.9518	6	11	0.9642	6	11	0.9673	10	13	0.9562	11	12	0.9549
	4	1	7	0.9641	1	4	0.9506	2	4	0.9843	2	2	0.9855	2	3	0.9645
	6	1	7	0.9921	1	4	0.9888	1	3	0.9829	1	2	0.9860	1	2	0.9728
	8	0	4	0.9554	1	4	0.9963	0	2	0.9555	1	2	0.9953	1	2	0.9906
	10	0	4	0.9712	0	2	0.9677	0	2	0.9712	0	1	0.9555	1	2	0.9960
0.05	2	6	21	0.9544	8	15	0.9719	9	13	0.9539	10	12	0.9562	17	19	0.9511
	4	1	8	0.9536	1	4	0.9506	2	4	0.9843	2	4	0.9527	2	3	0.9645
	6	1	8	0.9896	1	4	0.9888	1	3	0.9829	1	2	0.9860	1	2	0.9728
	8	0	8	0.9966	1	4	0.9963	1	3	0.9942	1	2	0.9953	1	2	0.9906
	10	0	5	0.9641	0	3	0.9519	1	3	0.9976	0	1	0.9555	1	2	0.9960
0.01	2	8	30	0.9523	10	20	0.9660	11	16	0.9616	13	16	0.9532	17	19	0.9511
	4	2	14	0.9778	2	7	0.9763	2	5	0.9655	2	4	0.9527	3	5	0.9570
	6	1	11	0.9803	1	6	0.9736	1	3	0.9675	1	3	0.9614	2	4	0.9843
	8	1	11	0.9934	1	6	0.9910	1	3	0.9888	1	3	0.9865	1	3	0.9736
	10	0	7	0.9501	1	6	0.9962	1	3	0.9952	1	3	0.9942	1	3	0.9885