| No. | MLP Classifier | Activation Function | Train/Test Split | Hidden Layers Size (# of Nodes1, # of Nodes 2, …) | No of Iterations | Accuracy |
| 1 | Test 1 | Relu | 70/30 | 3 Hidden Layers (14, 10, 8) | 50 | 81.81% |
| 2 | Test 2 | Relu | 70/30 | 3 Hidden Layers (15, 10, 8) | 100 | 88.31% |
| 3 | Test 3 | Relu | 70/30 | 3 Hidden Layers (20, 15, 12) | 150 | 86.36% |
| Average | Relu | 85.49% | ||||
| 1 | Test 1 | Tanh | 70/30 | 3 Hidden Layers (14, 10, 8) | 50 | 85.06% |
| 2 | Test 2 | Tanh | 70/30 | 3 Hidden Layers (15, 10, 8) | 100 | 76.62% |
| 3 | Test 3 | Tanh | 70/30 | 3 Hidden Layers (20, 15, 12) | 150 | 81.49% |
| Average | Tanh | 81.06% | ||||
| 1 | Test 1 | Logistic | 70/30 | 3 Hidden Layers (14, 10, 8) | 50 | 87.01% |
| 2 | Test 2 | Logistic | 70/30 | 3 Hidden Layers (15, 10, 8) | 100 | 86.36% |
| 3 | Test 3 | Logistic | 70/30 | 3 Hidden Layers (20, 15, 12) | 150 | 85.35% |
| Average | Logistic | 86.24% | ||||
| Overall Average | 84.26% |