A Case-Based Reasoning Approach for Automatic Adaptation of Classifiers in Mobile Phishing Detection

Table 9

Information of selected feature sets for 5 cases.

Case ID	Feature combination pattern	Features before feature selection	Features selected by Pearson’s correlation	Features selected by information gain
01	Pattern 1	112	96	100
02	Pattern 2	139	114	120
03	Pattern 3	220	180	185
04	Pattern 4	529	164	265
05	Pattern 5	610	227	250