Evaluating topologies for With Momentum and Without Momentum... Evaluating Topology [5] Evaluating Topology [10] Evaluating Topology [10, 10] Evaluating Topology [20] Evaluating Topology [20, 10] Evaluating Topology [10, 5] Evaluating Topology [15, 15] Evaluating Topology [5, 5, 5] Evaluating Topology [10, 10, 10] Evaluating Topology [20, 20]

Best Topology With Momentum: [10, 5] Training MSE: 0.028122305672758283 Best Topology Without Momentum: [20] Training MSE: 0.03945459268288283

Menu:

1. Train and Test (With Momentum) - Uses best momentum topology
2. Train and Test (Without Momentum) - Uses best no-momentum topology
3. Epoch-by-Epoch Evaluation (Without Momentum)
4. Train and Single Test (With Momentum)
5. K-Fold Cross-Validation
6. Exit Choose an option: 1

Training completed. Using Topology: [10, 5] Test MSE: 0.017655273892592593

Menu:

1. Train and Test (With Momentum) - Uses best momentum topology
2. Train and Test (Without Momentum) - Uses best no-momentum topology
3. Epoch-by-Epoch Evaluation (Without Momentum)
4. Train and Single Test (With Momentum)
5. K-Fold Cross-Validation
6. Exit Choose an option: 2

Training completed. Using Topology: [20] Test MSE: 0.025580677737802322

Menu:

1. Train and Test (With Momentum) - Uses best momentum topology
2. Train and Test (Without Momentum) - Uses best no-momentum topology
3. Epoch-by-Epoch Evaluation (Without Momentum)
4. Train and Single Test (With Momentum)
5. K-Fold Cross-Validation
6. Exit Choose an option: 3

Epoch-by-Epoch Evaluation: Epoch 1: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 2: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 3: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 4: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 5: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 6: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 7: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 8: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 9: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 10: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 11: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 12: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 13: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 14: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 15: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 16: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 17: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 18: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 19: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 20: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 21: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 22: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 23: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 24: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 25: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 26: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 27: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 28: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 29: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 30: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 31: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 32: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 33: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 34: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 35: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 36: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 37: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 38: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 39: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 40: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 41: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 42: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 43: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 44: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 45: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 46: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 47: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 48: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 49: Train MSE = 0.018258, Test MSE = 0.016535 Epoch 50: Train MSE = 0.018258, Test MSE = 0.016535

Menu:

1. Train and Test (With Momentum) - Uses best momentum topology
2. Train and Test (Without Momentum) - Uses best no-momentum topology
3. Epoch-by-Epoch Evaluation (Without Momentum)
4. Train and Single Test (With Momentum)
5. K-Fold Cross-Validation
6. Exit Choose an option: 4

Training completed. Enter education level: 17 Enter years of experience: 6 Enter gender (0 for female, 1 for male): 1 Predicted salary: 0.57

Menu:

1. Train and Test (With Momentum) - Uses best momentum topology
2. Train and Test (Without Momentum) - Uses best no-momentum topology
3. Epoch-by-Epoch Evaluation (Without Momentum)
4. Train and Single Test (With Momentum)
5. K-Fold Cross-Validation
6. Exit Choose an option: 5

Enter the number of folds (k): 5

Performing 5-Fold Cross-Validation... Fold 1: Train MSE = 0.023149, Test MSE = 0.023089 Fold 2: Train MSE = 0.023215, Test MSE = 0.027342 Fold 3: Train MSE = 0.017260, Test MSE = 0.018366 Fold 4: Train MSE = 0.020084, Test MSE = 0.017365 Fold 5: Train MSE = 0.025010, Test MSE = 0.024803

Average Train MSE: 0.021744 Average Test MSE: 0.022193

Menu:

1. Train and Test (With Momentum) - Uses best momentum topology
2. Train and Test (Without Momentum) - Uses best no-momentum topology
3. Epoch-by-Epoch Evaluation (Without Momentum)
4. Train and Single Test (With Momentum)
5. K-Fold Cross-Validation
6. Exit Choose an option: 0 Exiting program.