Research Article
A Case-Based Reasoning Approach for Automatic Adaptation of Classifiers in Mobile Phishing Detection
Table 2
Case description for mobile phishing detection system.
| No. | Name | Value |
| 1 | Case ID | Case identification number | 2 | Feature pattern | Combination of feature sets | 3 | Ensemble methods of classifiers (or) classification algorithm | Boosting/bagging/bayesian (or) algorithm name and their specific parameters | 4 | Accuracy | Percentage of correct classification | 5 | Performance | Runtime (seconds) |
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