Table 2 Statistical details of numerical features
From: Generating descriptive model for student dropout: a review of clustering approach
Feature | Range | Max | Min | Mean |
|---|---|---|---|---|
S-GPAX | [0.00–4.00] | 3.96 | 1.98 | 3.06 |
S-GPA1 | [0.00–4.00] | 4.00 | 1.60 | 3.09 |
S-GPA2 | [0.00–4.00] | 4.00 | 0.75 | 2.62 |
S-GPA3 | [0.00–4.00] | 4.00 | 0.00 | 2.78 |
S-GPA4 | [0.00–4.00] | 4.00 | 0.00 | 3.17 |
GPAX | [0.00–4.00] | 4.00 | 0.00 | 2.36 |
A ratio | [0.00–1.00] | 1.00 | 0.00 | 0.12 |
B+ ratio | [0.00–1.00] | 0.64 | 0.00 | 0.15 |
B ratio | [0.00–1.00] | 0.67 | 0.00 | 0.17 |
C+ ratio | [0.00–1.00] | 0.67 | 0.00 | 0.16 |
C ratio | [0.00–1.00] | 1.00 | 0.00 | 0.14 |
D+ ratio | [0.00–1.00] | 1.00 | 0.00 | 0.09 |
D ratio | [0.00–1.00] | 1.00 | 0.00 | 0.08 |
F ratio | [0.00–1.00] | 1.00 | 0.00 | 0.08 |
S ratio | [0.00–1.00] | 1.00 | 0.00 | 0.63 |
U ratio | [0.00–1.00] | 1.00 | 0.00 | 0.19 |
W ratio | [0.00–1.00] | 0.67 | 0.00 | 0.02 |