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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