PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #180
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #180: Real Exam Question with Answer & Explanation
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Question
You are developing a model to detect fraudulent credit card transactions. You need to prioritize detection, because missing even one fraudulent transaction could severely impact the credit card holder. You used AutoML to tram a model on users' profile information and credit card transaction data After training the initial model, you notice that the model is failing to detect many fraudulent transactions. How should you adjust the training parameters in AutoML to improve model performance? (Choose two.)
Options
- AIncrease the score threshold
- BDecrease the score threshold.
- CAdd more positive examples to the training set
- DAdd more negative examples to the training set
- EReduce the maximum number of node hours for training
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