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. 2017 Jan 31;18:75. doi: 10.1186/s12859-017-1476-4

Table 8.

Results for multi-label SSVM model with different feature sets

Feature set Precision Recall F 1-Score
SSVM + BOW 0.7626 0.3329 0.4635
SSVM + BOW + POS 0.7953 0.3857 0.5195
SSVM + BOW + POS + capitalization 0.8417 0.5702 0.6799
SSVM + BOW + POS + capitalization + case pattern 0.8398 0.5839 0.6889
SSVM + BOW + POS + capitalization + case pattern + word representation 0.8244 0.6620 0.7343