Research Article

An Enhanced Deep Neural Network for Predicting Workplace Absenteeism

Table 2

Reasons of absence that results into or categories using J48 Decision Tree.

Reason for absence = 0: moderate (43.0)

Reason for absence = 1: excessive (16.0/2.0)
Reason for absence = 2: excessive (1.0)
Reason for absence = 3: excessive (1.0)
Reason for absence = 4: moderate (2.0/1.0)
Reason for absence = 5: excessive (3.0/1.0)
Reason for absence = 6: excessive (8.0/1.0)
Reason for absence = 7: excessive (15.0/7.0)
Reason for absence = 8
Hit target 95: excessive (3.0)
Hit target 95: moderate (3.0)
Reason for absence = 9: excessive (4.0)
Reason for absence = 10: excessive (25.0/4.0)
Reason for absence = 11
Month of absence 3: excessive (7.0)
Month of absence 3: moderate (19.0/7.0)
Reason for absence = 12
Distance from residence to work 27: excessive (5.0/1.0)
Distance from residence to work 27: moderate (3.0)
Reason for absence = 13
Social drinker = 0: moderate (21.0/7.0)
Social drinker = 1: excessive (34.0/3.0)
Reason for absence = 14
Social drinker = 0: moderate (6.0)
Social drinker = 1
Age 41: excessive (10.0/1.0)
Age 41: moderate (3.0)
Reason for absence = 15: excessive (2.0)
Reason for absence = 16: moderate (3.0)
Reason for absence = 17: excessive (1.0)
Reason for absence = 18: excessive (21.0/4.0)
Reason for absence = 19
Height 175: excessive (30.0/1.0)
Height 175: moderate (10.0/4.0)
Reason for absence = 20: moderate (0.0)
Reason for absence = 21: excessive (6.0/2.0)
Reason for absence = 22: excessive (38.0/4.0)
Reason for absence = 23: moderate (149.0/13.0)
Reason for absence = 24: excessive (3.0)
Reason for absence = 25: moderate (31.0/5.0)
Reason for absence = 26: excessive (33.0/8.0)
Reason for absence = 27: moderate (69.0)
Reason for absence = 28: moderate (112.0/8.0)