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

Table 4

Accuracy comparison of classifiers on 10 features.

	Feature sets	J48 (%)	DT (%)	IBK (%)	LR (%)	NB (%)	SVM (%)
1	Android components	93.23	89.02	93.40	90.16	84.67	87.95
2	API count	95.85	93.02	95.66	91.90	89.20	85.25
3	APIusage_actions	95.20	91.86	95.32	91.97	89.02	91.24
4	Flow	93.05	91.03	93.32	87.18	87.45	83.17
5	Hardware components	89.00	89.06	89.12	89.06	89.02	89.06
6	Intent_action	86.89	85.73	87.13	84.64	83.75	85.53
7	Permission	94.30	91.92	94.65	93.95	88.54	94.14
8	Shell_command_strings	75.40	71.18	74.08	70.28	68.74	70.22
9	Content_visual	97.20	95.79	95.53	94.49	95.77	93.87
10	URLs	96.03	93.24	97.18	93.99	92.98	93.80