Table 2 Fuzzy rules for determining the importance of each feature.

From: Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection

Rule no.

Input

Output

MI

ANOVA

Feature ranking

1

Low

Low

Very Low

2

Low

Semi-Low

Low

3

Low

Semi-High

Low

4

Low

High

Medium

5

Semi-Low

Low

Low

6

Semi-Low

Semi-Low

Low

7

Semi-Low

Semi-High

Medium

8

Semi-Low

High

Medium

9

Semi-High

Low

Medium

10

Semi-High

Semi-Low

Medium

11

Semi-High

Semi-High

High

12

Semi-High

High

High

13

High

Low

Medium

14

High

Semi-Low

High

15

High

Semi-High

High

16

High

High

Very High