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. 2021 Aug 25;7:e645. doi: 10.7717/peerj-cs.645

Table 5. Experimental results for machine learning classifiers using BoW features.

Model Accuracy Class Precision Recall F1 score
RF 0.88 Sarcasm 0.90 0.88 0.89
Non-sarcasm 0.88 0.87 0.87
Macro Avg 0.89 0.88 0.88
ETC 0.88 Sarcasm 0.89 0.91 0.90
Non-sarcasm 0.88 0.87 0.88
Macro Avg 0.89 0.89 0.89
SVC 0.89 Sarcasm 0.91 0.90 0.90
Non-sarcasm 0.89 0.89 0.89
Macro Avg 0.90 0.90 0.90
DT 0.88 Sarcasm 0.88 0.88 0.88
Non-sarcasm 0.88 0.88 0.88
Macro Avg 0.88 0.88 0.88