Training number
|
5
|
15
|
30
|
50
|
100
|
300
|
---|
Accuracy(+)
| 0.74± 0.05 | 0.81± 0.04 | 0.83± 0.03 | 0.79± 0.03 | 0.73± 0.02 | 0.64 |
TP rate(+)
| 0.65± 0.13 | 0.61± 0.12 | 0.59± 0.09 | 0.49± 0.08 | 0.31± 0.04 | 0.09 |
TN rate(+)
| 0.8 ± 0.09 | 0.95± 0.03 | 0.99± 0.00 | 0.99± 0.00 | 1 ± 0.00 | 1.0 |
-
+Accuracy, TP rate, and TN rate, were defined as follows:
-
\( \mathrm{Accuracy}=\frac{\mathrm{TP} + \mathrm{T}\mathrm{N}}{\mathrm{TP} + \mathrm{F}\mathrm{P} + \mathrm{T}\mathrm{N} + \mathrm{F}\mathrm{N}},\mathrm{T}\mathrm{P}\mathrm{rate}=\frac{\mathrm{TP}}{\mathrm{TP}+\mathrm{F}\mathrm{N}},\mathrm{T}\mathrm{N}\ \mathrm{rate}=\frac{\mathrm{TP}}{\mathrm{FP}+\mathrm{T}\mathrm{N}} \)
- where TP, TN, FP, and FN represent the numbers of true positives, true negatives, false positives, and false negatives, respectively, of the confusion matrix.