From: The non-linear nature of the cost of comprehensibility
ML algorithms | Count | Olson et al. [43] | Fernandez et al. [44] | Zhang et al. [45] | Lessman et al. [46] | Mayr et al. [47] | Lorena et al. [48] | Macia et al. [49] |
---|---|---|---|---|---|---|---|---|
Random Forest | 7 | ✓ | ✓ (1) | ✓ (1) | ✓ | ✓ (3) | ✓ (1) | ✓ |
Bayesian | 7 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
SVM | 7 | ✓ | ✓ (2) | ✓(2) | ✓ | ✓ (2) | ✓ (2) | ✓ |
LR | 6 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
Nearest Neighbor | 6 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
Neural networks | 5 | ✓ (3) | ✓(3) | ✓ | ✓(1) | ✓ | ||
Decision tree | 4 | ✓ | ✓ (4) | ✓ | ✓ | |||
Boosting | 3 | ✓ | ✓ | ✓(1) | ||||
Discriminant analysis | 2 | ✓ | ✓ | |||||
Bagging | 1 | ✓ | ||||||
Rule-based | 1 | ✓ |