Advances, Systems and Applications
Table 7 This table presents the performance results of each predictive model for the task level based on the test dataset, where the models in bold represent the best models
From: Cloud failure prediction based on traditional machine learning and deep learning
Model | Accuracy(%) | Error rate(%) | Precision(%) | Sensitivity(%) | Specificity(%) | F-Score |
|---|---|---|---|---|---|---|
Logistic Regression | 69.69 | 30.31 | 85.45 | 98.57 | 78.42 | 0.9154 |
Decision Tree | 89.75 | 10.25 | 85.45 | 98.57 | 78.42 | 0.9154 |
Random Forest | 89.75 | 10.25 | 85.43 | 98.58 | 78.40 | 0.9154 |
Gradient Boosting | 87.87 | 12.13 | 84.80 | 95.94 | 76.88 | 0.9003 |
XGBoost | 89.35 | 10.65 | 85.05 | 98.31 | 77.89 | 0.9120 |
Single Layer LSTM | 87.82 | 12.18 | 83.39 | 96.86 | 76.20 | 0.8994 |
Bi-Layer LSTM | 86.95 | 13.05 | 81.39 | 98.18 | 13.87 | 0.8900 |
Ti-Layer LSTM | 87.55 | 12.45 | 82.92 | 97.53 | 75.28 | 0.8963 |