A Modified Decision Tree Algorithm Based on Genetic Algorithm for Mobile User Classification Problem

Table 3

Rules on mobile users generated by the algorithm.

ID	Rule	Training set accuracy	Test set accuracy
1	IF (Wireless cost ≥ 27.7) and (Context = public context); THEN class = Total service	84.66%	83.25%
2	IF (Wireless cost ≤ 27.7) and (Free part > 13.5) and (Context = public context); THEN class = Plus service	72.68%	70.13%
3	IF (Wireless cost ≤ 27.7) and (Free part ≤ 13.5) and (Context = private); and (month ≤ 16); THEN class = Basic service	73.07%	71.64%
4	IF (Wireless cost ≤ 27.7) and (Free part ≤ 13.5) and (Context = private); and (month > 16); THEN class = E-service	64.87%	63.79%