Attribute structure | s = g = 0.05 | s = g = 0.1 | s = g = 0.15 | s = g = 0.2 | ||||
Sample size of training | ||||||||
500 | 800 | 500 | 800 | 500 | 800 | 500 | 800 | |
Divergent | 0.9906 | 0.9965 | 0.9768 | 0.9798 | 0.8707 | 0.9524 | 0.9105 | 0.9156 |
Convergent | 0.9968 | 0.9991 | 0.9944 | 0.9953 | 0.9867 | 0.9884 | 0.9681 | 0.9705 |
Linear | 0.9995 | 0.9997 | 0.9989 | 0.9994 | 0.9954 | 0.9961 | 0.9931 | 0.9955 |
Unstructured | 0.9945 | 0.9964 | 0.9724 | 0.9870 | 0.9647 | 0.9918 | 0.9751 | 0.9950 |