Mathematical Problems in Engineering / 2015 / Article / Tab 3

Research Article

Sample-Based Extreme Learning Machine with Missing Data

Table 3

Performance comparison of S-ELM and MF-ELM over different missing ratios on the fingerprint data set.

Target class Missing ratio S-ELM MF-ELM
Accuracy ± std.Time (Sec.)Accuracy ± std.Time (Sec.)

Loop10%0.8256 ± 0.073689.370.7967 ± 0.098585.72
20%0.8029 ± 0.125385.910.7265 ± 0.137186.28
30%0.7694 ± 0.119190.430.6303 ± 0.103987.93

Whorl10%0.8137 ± 0.062767.280.8129 ± 0.092260.72
20%0.7436 ± 0.096371.320.7269 ± 0.116767.49
30%0.7102 ± 0.084969.090.6359 ± 0.107668.25

Arch10%0.8361 ± 0.0852102.70.8057 ± 0.093794.73
20%0.7659 ± 0.097498.310.7561 ± 0.117096.83
30%0.7192 ± 0.0827100.30.6574 ± 0.120796.67

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