|
Method
|
Performance measures
| | |
|---|
| |
Sensitivity (%)
|
Precision (%)
|
Specificity (%)
|
FNR (%)
|
FPR
|
Accuracy (%)
|
|---|
|
Decision tree
|
92.95
|
93.1
|
94.30
|
6.9
|
0.07
|
93.1
|
|
Quadratic discriminant analysis
|
95.95
|
95.45
|
91.90
|
4.5
|
0.04
|
95.5
|
|
Quadratic SVM
|
96.25
|
96.10
|
95.60
|
3.8
|
0.03
|
96.2
|
|
Logistic regression
|
95.10
|
95.10
|
95.60
|
4.8
|
0.04
|
95.2
|
|
Naive bayes
|
92.80
|
93.30
|
95.60
|
6.9
|
0.07
|
93.1
|
|
Weighted KNN
|
95.10
|
95.10
|
95.60
|
4.8
|
0.04
|
95.2
|
|
Ensemble boosted tree
|
95.10
|
95.10
|
95.60
|
4.80
|
0.04
|
95.2
|
|
Ensemble subspace discriminant
|
95.10
|
95.10
|
95.60
|
4.8
|
0.04
|
95.2
|
|
Cubic KNN
|
89.35
|
90.65
|
95.60
|
10.0
|
0.10
|
90.0
|
|
Proposed
|
96.60
|
97.0
|
98.30
|
2.8
|
0.01
|
97.2
|
- Data in bold are significant
