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Perceptron Results
ML techniques on large datasets:
- Training: 20059
- Validation: 10036
- TW vs. AC: 3076
- AW vs. AC: 4024
Results for linear regression, single hidden-layer and double hidden-layer networks:
| Training | Validation | TW vs. AC | AC vs. AW | |
|---|---|---|---|---|
| Linear Reg. | 0.212 | 0.216 | 0.218 | 0.237 |
| NN 100 cycles | 0.132 | 0.164 | 0.17 | 0.19 |
| NN 20 Cycles | 0.142 | 0.167 | 0.172 | 0.198 |
| 2 Layer NN | 0.085 | 0.164 | 0.182 | 0.18 |
Linear Regression
2 Layer Neural Network
NN on Footman scenario
