Advances, Systems and Applications
Table 5 This table presents the performance results of each prediction model for the job level based on the test dataset, where the model in bold represents the best model
From: Cloud failure prediction based on traditional machine learning and deep learning
Model | Accuracy(%) | Error rate(%) | Precision(%) | Sensitivity(%) | Specificity(%) | F-Score |
|---|---|---|---|---|---|---|
Logistic Regression | 63.13 | 36.87 | 41.36 | 55.90 | 66.21 | 0.5755 |
Decision Tree | 93.23 | 6.77 | 91.95 | 91.34 | 94.52 | 0.9165 |
Random Forest | 89.65 | 10.35 | 50.97 | 52.21 | 94.07 | 0.5158 |
Gradient Boosting | 90.65 | 9.35 | 91.25 | 86.37 | 93.83 | 0.8874 |
XGBoost | 94.35 | 5.65 | 94.31 | 91.92 | 96.07 | 0.9310 |
Single Layer LSTM | 88.78 | 11.22 | 85.64 | 86.47 | 90.33 | 0.8605 |
Bi-Layer LSTM | 89.78 | 10.22 | 56.26 | 90.82 | 88.19 | 0.8722 |
Ti-Layer LSTM | 85.14 | 14.86 | 81.57 | 81.64 | 57.52 | 0.8161 |