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Benchmarks
Sentiment Classification on Restaurant14
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90.38
Accuracy
BOOSTAUG
75.612
79.446
83.28
87.114
Oct 6, 2022
Accuracy
F1 Score
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
F1 Score
BOOSTAUG
Model=FastLCF, Base Au...
2022.10
90.38
85.04
Vanilla
Model=FastLCF
2022.10
88.5
82.7
Vanilla
Model=DeBERTa
2022.10
87.72
81.73
EDA
Model=FastLCF
2022.10
87.68
81.52
EDA
Model=DeBERTa
2022.10
86.79
79.82
Vanilla
Model=BERT
2022.10
85.18
78.31
EDA
Model=BERT
2022.10
83.75
75.38
Vanilla
Model=LSTM
2022.10
77.54
66.89
EDA
Model=LSTM
2022.10
76.18
62.41
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