Imbalanced Learning Based on Logistic Discrimination

Table 3

The accuracies and standard errors of ILLD, LD-US, LD-OS, and LD.

Data set	ILLD	LD-US	LD-OS	LD
d1	94.39 ± 4.41	85.84 ± 6.06^•	95.35 ± 3.55	97.46 ± 1.15
d2	91.86 ± 2.94	82.57 ± 7.19^•	88.94 ± 4.01	91.86 ± 3.12
d3	85.36 ± 5.69	73.69 ± 7.63^•	86.54 ± 6.08	86.25 ± 5.51
d4	96.71 ± 0.36	94.25 ± 2.69^•	95.08 ± 0.84^•	93.62 ± 1.42^•
d5	66.78 ± 2.80	58.25 ± 3.94^•	57.20 ± 4.09^•	67.69 ± 2.63
d6	98.19 ± 0.46	88.75 ± 3.07^•	97.43 ± 0.88^•	98.61 ± 0.39°
d7	80.21 ± 4.03	61.75 ± 8.23^•	82.47 ± 4.79	83.61 ± 4.30
d8	91.59 ± 6.28	83.46 ± 10.21^•	91.40 ± 4.98	93.64 ± 1.31
d9	78.97 ± 4.13	69.80 ± 5.93^•	77.30 ± 5.42	78.46 ± 5.16
d10	80.43 ± 2.66	70.71 ± 3.89^•	74.62 ± 2.35^•	77.66 ± 3.34^•
d11	86.78 ± 1.99	82.05 ± 3.74^•	83.19 ± 2.95^•	84.21 ± 3.92
d12	72.43 ± 5.84	51.06 ± 9.56^•	66.91 ± 6.56^•	90.87 ± 1.31°
d13	93.99 ± 1.19	93.71 ± 0.77	96.37 ± 0.28°	90.43 ± 1.96^•
d14	99.08 ± 0.20	60.27 ± 6.91^•	85.63 ± 5.97^•	99.04 ± 0.18
Average	86.91	75.44	84.17	88.10