Research Article
Wise Mobile Icons Organization: Apps Taxonomy Classification Using Functionality Mining to Ease Apps Finding
Table 6
Functional and BoW classification calibration by test accuracy comparison (best results only).
| Dataset | Functional | BoW |
| Calibration/classifier | Crammer and Singer | L1 | L2 | Logistic regression | Crammer and Singer | L1 | L2 | Logistic regression |
| Accuracy (correctly classified) | 79.16 | 80 | 78.33 | 77.5 | 88.94 | 88.42 | 88.94 | 88.42 |
| Feature representation | TF/IDF | TF/IDF | TF/IDF | TF/IDF | TF/IDF | Word count or TF | Word count | Word count |
| Feature preprocess | Stemming, bigram | No SPR, stemming, and bigram | No stemming, unigram | Stemming, bigram | No SPR, no stemming, and unigram | Stemming | No SPR, stemming, and unigram | Unigram |
| Normalization | With | With | With or without | With | With | With or without | Without | With or without |
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