SN | Voting Classifier | Classifications Methods | Individual Accuracy (%) | Accuracy (%) | Precision (%) | Recall (%) | F1 Score (%) |
1 | Soft | Logistic Regression | 93.13 | 91.71 | 97 | 86 | 91 |
2 | SGD Classifier | 94.08 | |||||
3 | SVC Classifier | 49.80 | |||||
4 | AdaBoost Classifier | 88.31 | |||||
5 | KNeighborsClassifier | 57.00 | |||||
6 | Decision Tree Classifier | 83.10 | |||||
7 | Random forest Classifier | 92.65 | |||||
8 | Bagged Classifier | 50.19 | |||||
9 | Hard | Logistic Regression | 93.13 | 92.74 | 96 | 89 | 93 |
10 | SGD Classifier | 94.08 | |||||
11 | SVC Classifier | 49.80 | |||||
12 | AdaBoost Classifier | 88.31 | |||||
13 | KNeighborsClassifier | 57.00 | |||||
14 | Decision Tree Classifier | 83.10 | |||||
15 | Random forest Classifier | 92.65 | |||||
16 | Bagged Classifier | 50.19 |