Prediction performance using MVMTMDA with two, three and four layers in 5-fold cross-validation
| Prediction task . | Depth of layers in networks . | ||
|---|---|---|---|
| . | Two layers . | Three layers . | Four layers . |
| MDA prediction | 0.8512+/−0.012 | 0.781+/−0.011 | 0.8384+/−0.015 |
| LMI prediction | 0.9014+/−0.012 | 0.8602+/−0.015 | 0.7647+/−0.022 |
| Prediction task . | Depth of layers in networks . | ||
|---|---|---|---|
| . | Two layers . | Three layers . | Four layers . |
| MDA prediction | 0.8512+/−0.012 | 0.781+/−0.011 | 0.8384+/−0.015 |
| LMI prediction | 0.9014+/−0.012 | 0.8602+/−0.015 | 0.7647+/−0.022 |
Prediction performance using MVMTMDA with two, three and four layers in 5-fold cross-validation
| Prediction task . | Depth of layers in networks . | ||
|---|---|---|---|
| . | Two layers . | Three layers . | Four layers . |
| MDA prediction | 0.8512+/−0.012 | 0.781+/−0.011 | 0.8384+/−0.015 |
| LMI prediction | 0.9014+/−0.012 | 0.8602+/−0.015 | 0.7647+/−0.022 |
| Prediction task . | Depth of layers in networks . | ||
|---|---|---|---|
| . | Two layers . | Three layers . | Four layers . |
| MDA prediction | 0.8512+/−0.012 | 0.781+/−0.011 | 0.8384+/−0.015 |
| LMI prediction | 0.9014+/−0.012 | 0.8602+/−0.015 | 0.7647+/−0.022 |
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