| Decision tree model |
---|
Precision | Recall | f1-score | Support |
---|
No-Dementia | 0.91 | 0.97 | 0.93 | 549 |
Dementia | 0.96 | 0.90 | 0.93 | 525 |
macro avg | 0.93 | 0.93 | 0.93 | 1074 |
weighted avg | 0.93 | 0.93 | 0.93 | 1074 |
- The support represents the number of true instances of each class. The macro average and weighted average calculate the metrics for each class label. However, the macro illustrates the unweighted mean, without considering label imbalance, whereas the weighted average utilises the support of labels for producing the weighted mean value