Table 5.
Summary of dataset characteristics related to the applicability of 8 algorithms – continuous variable datasets.
| Dataset characteristic | LR | C4.5 | SVM | AB | kNN | NB | RF | BP |
|---|---|---|---|---|---|---|---|---|
| P | √ | √ | √ | √ | √ | √ | √ | |
| N | √ | √ | √ | √ | √ | √ | √ | |
| N_class | √ | √ | √ | √ | √ | |||
| R_largest | √ | √ | √ | √ | √ | √ | ||
| R_least | √ | √ | √ | |||||
| Geomean | √ | √ | √ | √ | √ | |||
| Harmean | √ | √ | √ | |||||
| MAD | √ | √ | √ | √ | √ | |||
| Var | √ | √ | √ | √ | √ | √ | √ | |
| Std | √ | √ | √ | √ | √ | |||
| MAr | √ | √ | √ | √ | √ | √ | ||
| IQR | √ | √ | √ | √ | √ | |||
| D | √ | √ | √ | √ | ||||
| Skewness | √ | √ | √ | √ | √ | √ | √ | √ |
| Kurtosis | √ | √ | √ | √ | √ | |||
| Trimean | √ | √ | √ | √ | ||||
| Percentile | √ | √ | √ | √ | √ | |||
| E_C | √ | √ | √ | |||||
| Field label | √ | √ | √ | √ | √ |