Question 3 of 280
Single answerYou were asked to investigate failures of a production line component based on sensor readings. After receiving
the dataset, you discover that less than 1% of the readings are positive examples representing failure incidents.
You have tried to train several classification models, but none of them converge. How should you resolve the class
imbalance problem?
AUse the class distribution to generate 10% positive examples
BUse a convolutional neural network with max pooling and softmax activation.
✓CDownsample the data with upweighting to create a sample with 10% positive examples.
DRemove negative examples until the numbers of positive and negative examples are equal.
✓
Correct Answer: C
Downsample the data with upweighting to create a sample with 10% positive examples.
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Explanation
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