Table 1 The comparison of performance with different feature selection algorithms.
From: A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning
Accuracy | Sensitivity | Specificity | FNR | FPR | |
|---|---|---|---|---|---|
Non | 86.54% | 92.51% | 77.14% | 7.49% | 22.86% |
FS | 87.10% | 95.28% | 74.29% | 4.72% | 25.71% |
CIFE | 86.00% | 92.60% | 75.71% | 7.40% | 24.29% |
MCFS | 83.16% | 92.60% | 68.57% | 7.45% | 31.43% |
F-score | 87.10% | 95.28% | 74.29% | 4.72% | 25.71% |
EasiRF | 91.02% | 97.14% | 81.43% | 2.86% | 18.57% |
