Table 4.
S. no. | Classification algorithm | Before | Proposed method | After proposed method |
---|---|---|---|---|
1 | K-nearest neighbour | 70.1 | 78.58 | |
2 | Random forest | 75.9 | 79.83 | |
3 | Decision trees | 73.8 | 76.07 | |
4 | Multilayer perceptron | 75.1 | 77.60 |
Bold means the improved accuracy after the proposed method.