Topic 1 Question 154
You are developing a classification model to support predictions for your company’s various products. The dataset you were given for model development has class imbalance You need to minimize false positives and false negatives What evaluation metric should you use to properly train the model?
F1 score
Recall
Accuracy
Precision
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- 正解だと思う選択肢: A
if there wasn't a class imbalance that C. Accuracy would have been the right answer. There A. F1-score which is harmonic mean of precision and recall, that balances the trade-off between precision and recall. It is useful when both false positives and false negatives are important as per the question at hand, and you want to optimize for both.
👍 3Antmal2023/05/12 class imbalance = F1 score
👍 1nescafe72023/05/24
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