Dell-EMC
E20-065 · Question #2
The naive Bayer classifier is trained over 1600 movie reviews and then tested over 400 reviews. Here is the resulting confusion matrix: 190 (TP) 10(FN) 80 (FP) 120(TN) What are the precision…
The correct answer is C. Precision 0.704, Recall: 0.95; F1-score: 0.809. See the full explanation below for the reasoning.
Question
The naive Bayer classifier is trained over 1600 movie reviews and then tested over 400 reviews. Here is the resulting confusion matrix:
190 (TP) 10(FN) 80 (FP) 120(TN) What are the precision, recall, and the F1-score values?
Options
- APrecision0.95; Recall: 0704; F1-score: 0.809
- BPrecision 0.613, Recall: 0.95, F1-score: 0.745
- CPrecision 0.704, Recall: 0.95; F1-score: 0.809
- DPrecision 0.95; Recall: 0.613; F1-score: 0.745
How the community answered
(45 responses)- A16% (7)
- B2% (1)
- C76% (34)
- D7% (3)
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