Table 3.
Feature pruning results using SMOTE
| Model | Pruned Feature Set |
|---|---|
| Random Forest | mean skin temperature, EDA mean, x-axis median, y-axis interquartile range, z-axis interquartile range |
| Decision Tree | mean skin temperature, EDA 20th percentile, EDA mean, z-axis median |
| Logistic Regression | mean skin temperature, EDA peaks, EDA mean, x-axis total power, y-axis interquartile range, y-axis zero crossing rate, y-axis minimum, y-axis skew |
| Support Vector Machine | mean skin temperature, EDA 20th percentile, y-axis median, z-axis mean |