Table 2 The performance of machine learning on test set.
From: A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning
Accuracy | Sensitivity | Specificity | FNR | FPR | |
|---|---|---|---|---|---|
EasiAI | 91.02% | 97.14% | 81.43% | 2.86% | 18.57% |
RF | 87.65% | 93.42% | 78.57% | 6.60% | 21.43% |
SVM | 86.00% | 89.78% | 80.00% | 10.22% | 20.00% |
LR | 86.57% | 88.92% | 82.86% | 11.08% | 17.14% |
NB | 82.10% | 89.83% | 70.00% | 10.17% | 30.00% |
