Accuracy of algorithms by brain structure and gender
| Brain structure | Men | Women | ||
|---|---|---|---|---|
| Best algorithm | Accuracy (%) | Best algorithm | Accuracy (%) | |
| Putamen | Extra Trees | 86.36 | AdaBoost | 61.54 |
| Brainstem | Extra Trees | 84.09 | Decision Tree | 57.69 |
| Thalamus | Extra Trees | 77.27 | AdaBoost | 50.00 |
| Palladium | Extra Trees | 75.00 | Decision Tree | 65.38 |
| Amygdala | Extra Trees | 72.73 | Naive Bayes | 69.23 |
| Caudate | Extra Trees | 70.45 | AdaBoost | 53.85 |
| Hippocampus | Random Forest | 70.45 | Decision Tree | 53.85 |
| Accumbens | Extra Trees | 65.91 | Naive Bayes | 53.85 |
| Brain structure | Men | Women | ||
|---|---|---|---|---|
| Best algorithm | Accuracy (%) | Best algorithm | Accuracy (%) | |
| Putamen | Extra Trees | 86.36 | AdaBoost | 61.54 |
| Brainstem | Extra Trees | 84.09 | Decision Tree | 57.69 |
| Thalamus | Extra Trees | 77.27 | AdaBoost | 50.00 |
| Palladium | Extra Trees | 75.00 | Decision Tree | 65.38 |
| Amygdala | Extra Trees | 72.73 | Naive Bayes | 69.23 |
| Caudate | Extra Trees | 70.45 | AdaBoost | 53.85 |
| Hippocampus | Random Forest | 70.45 | Decision Tree | 53.85 |
| Accumbens | Extra Trees | 65.91 | Naive Bayes | 53.85 |
Source(s): Authors’ own work
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.