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Table 1 Background information of students

From: Precision education with statistical learning and deep learning: a case study in Taiwan

 TotalCurrent studentsDropout students 
VariableFrequency (%)Frequency (%)Frequency (%)p value
No. of students3552 (100)3140 (88.40)412 (11.60) 
Gender
 Female2093 (58.92)1896 (60.38)197 (47.82)< .001
 Male1459 (41.08)1244 (39.62)215 (52.18)
Disadvantaged status
 No2725 (76.72)2409 (76.72)316 (76.7).993
 Yes827 (23.28)731 (23.28)96 (23.30)
High school
 Public1964 (55.29)1738 (55.35)226 (54.85).849
 Private1588 (44.71)1402 (44.65)186 (45.15)
Dynamic of class ranking percentage (Academic performance)
 Maintained/Improved2048 (57.66)1847 (58.82)201 (48.79).001
 Deteriorated1504 (42.34)1293 (41.18)211 (51.21)
Student loan application
 No2457 (69.17)2203 (70.16)254 (61.65)< .001
 Yes1095 (30.83)937 (29.84)158 (38.35)
No. of absences from school
  < 402817 (79.31)2605 (82.96)212 (51.46)< .001
  ≥ 40735 (20.69)535 (17.04)200 (48.54)
No. of alerted subjects
  < 22997 (84.38)2753 (87.68)244 (59.22)< .001
  ≥ 2555 (15.63)387 (12.32)168 (40.78)
Served as a class cadre
 No2645 (74.47)2337 (74.43)308 (74.76).885
 Yes907 (25.53)803 (25.57)104 (25.24)
Part-time job experience
 No3513 (98.9)3104 (98.85)409 (99.27).444
 Yes39 (1.10)36 (1.15)3 (0.73)
  1. Note. The p value indicates the comparison between the background variable of the current and dropout students; a significant difference existed with p being less than .05