nfqa-multilingual-classifier / classification_report.txt
AliSalman29's picture
feat: improved accuracy to 92%
79d10e6
raw
history blame contribute delete
674 Bytes
precision recall f1-score support
NOT-A-QUESTION 0.94 0.98 0.96 463
FACTOID 0.89 0.83 0.86 635
DEBATE 0.94 0.94 0.94 288
EVIDENCE-BASED 0.86 0.92 0.89 387
INSTRUCTION 0.92 0.95 0.94 480
REASON 0.95 0.96 0.95 427
EXPERIENCE 0.91 0.85 0.88 530
COMPARISON 0.94 0.96 0.95 461
accuracy 0.92 3671
macro avg 0.92 0.92 0.92 3671
weighted avg 0.92 0.92 0.92 3671