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Table 1 Models that are used in other benchmark studies

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

   

✓

   
  1. Symbol ✓ indicates that this kind of model was used in the study, and the numbers between brackets indicate the rank of the model (if this was included in the study)