Table 1.

A complete list of predictor features and their information gain ranking.

Input	Type	No. Values/range	Info gain ranking	Description
noShow−rate	Numeric	0.0 – 100.0	0.3596	The proportion of no-show visits among all visits per patient
app−loc	Nominal	32	0.0323	Appointment location
specialty	Nominal	24	0.025	Clinic specialty or medical service
reg−type	Nominal	18	0.0104	Type of patient as Ordinary, Employee, Dependent, Donor, etc.
age	Numeric	0-115	0.003	Patient age in years
day−of −wk	Nominal	7	0.003	Visit day of week (Sun, Mon, Tues, Wed, Thurs, Fri, Sat)
slot−desc	Nominal	4	0.002	Registration slot description, which can be new patient (NP), new follow-up (NF), follow-up patient (FU), or (Diagnostic)
region	Nominal	5	< 0.001	Geographic region of patient as Central, Eastern, Western, Northern, or Southern region
time−slot	Nominal	4	< 0.001	Time slot of visit as Early AM, AM, PM, or Night
gender	Nominal	2	< 0.001	Patient gender as Male or Female
nationality	Nominal	2	< 0.001	Patient nationality as Saudi or Non-Saudi
class	Nominal	2	—	Target class as either (show) if the patient attended the appointment, or (no-show) otherwise