Skip to main content

Table 4 Grading System

From: Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies

Grade

Model

Rules

Attribute

A

100% accordance

Example:

If rs5 = BB and rs10 = AA then Case; If rs15 = AA and AUC >105 then Case; Else Control

100% accordance

Example:

If rs5 = BB and rs10 = AA then Case

All attributes were present (i.e. detected) and ranked as most frequent, i.e. top 2 for model A and top 4 for model B.

Example:

rs5 → Nr. 1; rs10 → Nr. 3; rs15 → Nr.2; AUC → Nr. 4

B

One attribute was missing or an additional attribute was identified by the generated model

Example:

If rs5 = BB and rs10 = AA and rs234 = BB then Case; If rs15 = AA and AUC >105 then Case; Else Control

One attribute was missing or an additional attribute was identified by the generated model

Example:

If rs5 = BB and rs10 = AA and rs234 = BB then Case

All attributes were present but not ranked as most frequent

Example:

rs5 → Nr. 5; rs10 → Nr. 3; rs15 → Nr.7; AUC → Nr. 4

C

Two attributes were different between the generated and the true model,

Example:

If rs5 = BB and rs10 = AA and rs234 = BB then Case; If rs15 = AA and AUC >105 and rs56 = AA then Case; Else Control

Two attributes were different between the generated and the true model

Example:

If rs5 = BB and rs234 = BB then Case

One attribute was not present, remaining attributes were present and rank was not considered

Example:

rs5 → not detected; rs10, rs15 and AUC → detected

D

Three attributes were different between the generated and the true model

Example:

If rs5 = BB and rs234 = BB and rs56 = AA then Case; If rs15 = AA and AUC >105 then Case; Else Control

Three attributes were different between the generated and the true model

Example:

If rs5 = BB and rs56 = AA and rs234 = BB then Case

Two attributes were not present, remaining attributes were present and ranked as most frequent

Example:

rs5 and AUC → not detected; rs10 and rs15 → detected

  1. Comparison of the generated versus true model, rules and attributes. (Model B was used for the example.)