Table 3.
Classifiers | Precision | Recall | F-measure | Accuracy | Utility-10 | Utility-20 |
---|---|---|---|---|---|---|
NB_AB | 0.874 (0.023) | 0.656 (0.027) | 0.749 (0.022) | 0.783 (0.017) | 0.866 (0.024) | 0.872 (0.023) |
RF_AB | 0.779 (0.016) | 0.768 (0.024) | 0.773 (0.017) | 0.802 (0.015) | 0.765 (0.018) | 0.776 (0.017) |
NB_CAP | 0.831 (0.018) | 0.766 (0.024) | 0.797 (0.019) | 0.808 (0.017) | 0.820 (0.019) | 0.828 (0.018) |
RF_CAP | 0.855 (0.019) | 0.758 (0.017) | 0.804 (0.015) | 0.817 (0.014) | 0.846 (0.021) | 0.853 (0.020) |
NB_AB&CAP | 0.877 (0.018) | 0.816 (0.018) | 0.846 (0.014) | 0.853 (0.013) | 0.870 (0.019) | 0.876 (0.018) |
RF_AB&CAP | 0.876 (0.019) | 0.829 (0.015) | 0.852 (0.013) | 0.858 (0.012) | 0.869 (0.020) | 0.875 (0.019) |
AB indicates using features from titles/abstracts only. CAP indicates using features from captions alone. AB_CAP indicates using features from both captions and titles/abstracts.