A subjective job scheduler based on a backpropagation neural network

Table 3 Unseen dataset of sixteen jobs with their respective correlation values

Job	R	K	D	L	Correlation
J ₁	0.32	0.43	0.65	0.54	0.93713
J ₂	0.76	0.32	0.87	0.21	-0.11176
J ₃	0.76	0.32	0.76	0.32	-0.21439
J ₄	0.21	0.98	0.10	0.43	-0.01612
J ₅	0.87	0.32	0.98	0.32	-0.11865
J ₆	0.21	0.76	0.32	0.54	0.19192
J ₇	0.98	0.21	0.32	0.76	-0.71251
J ₈	0.98	0.87	0.21	0.10	-0.68731
J ₉	0.65	0.21	0.21	0.43	-0.79364
J ₁₀	0.98	0.21	0.87	0.10	-0.31559
J ₁₁	0.21	0.32	0.76	0.10	0.50818
J ₁₂	0.32	0.10	0.98	0.87	0.46068
J ₁₃	0.65	0.65	0.10	0.98	-0.39876
J ₁₄	0.21	0.98	0.87	0.76	0.63493
J ₁₅	0.65	0.32	0.65	0.98	0.00138
J ₁₆	0.43	0.10	0.54	0.87	0.17097