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Table 5 Variable importance ranking for one rule, random forest, adaboost and support vector machine (mean/mode dataset)

From: Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: a machine learning approach

Ranking

One rule

Random forest

AdaBoost

Support vector machine

1

Soft drusen

Age

Age

Age

2

Age

Soft drusen

Soft drusen

Gender

3

Depigmentation area

Macular tickness

Subretinal fluid

Soft drusen

4

RPE defect.pigment mottling

Depigmentation area

Subretinal hemorrhage

Subretinal hemorrhage

5

Subretinal hemorrhage

RPE defect.pigment mottling

RPE defect.pigment mottling

Subretinal fluid

6

Subretinal fibrosis

Subretinal fibrosis

Gender

Subretinal fibrosis

7

Macular.scar

Subretinal hemorrhage

Subretinal fibrosis

RPE defect.pigment mottling

8

Subretinal fluid

Subretinal fluid

Macular.scar

Macular.scar

9

Gender

Macular.scar

Macular tickness

Macular tickness

10

Macular tickness

Gender

Depigmentation area

Depigmentation area