Table 5 Effect of the mixing factor ε and deactivation rate on the hybrid model
From: Hard-threshold neural network-based prediction of organic synthetic outcomes
ε | Dropout rate | Training Accuracy | Validation Accuracy | Test Accuracy |
|---|---|---|---|---|
0 | 0 | 80.1% | 70.0% | 71.2% |
1.0000 | 0 | 99.9% | 63.1% | 61.6% |
0.1000 | 0 | 99.7% | 65.1% | 66.9% |
0.0200 | 0 | 98.8% | 71.0% | 70.8% |
0.0010 | 0 | 85.3% | 71.9% | 72.5% |
0.0008 | 0 | 85.5% | 75.3% | 72.6% |
0.0005 | 0 | 83.6% | 70.1% | 72.3% |
0.0010 | 0 | 85.3% | 71.9% | 72.5% |
0.0010 | 0.01 | 85.7% | 73.8% | 73.0% |
0.0010 | 0.02 | 85.4% | 73.7% | 73.9% |
0.0010 | 0.05 | 83.4% | 73.1% | 73.1% |
0.0010 | 0.1 | 82.6% | 70.9% | 72.7% |
0.0010 | 0.2 | 77.9% | 68.7% | 70.3% |