Which two techniques are appropriate to deal with the class imbalance?

A classification task has examples that are labeled as belonging to one of two classes:

• 90% of the examples belong to class-1

• 10% belong to class-2

Which two techniques are appropriate to deal with the class imbalance? (Choose two.)
A . apply dimensionality reduction to the features before training
B . impose an additional cost on the model for making classification mistakes on the minority class during training
C . lower the detection threshold of the minority class after training
D . oversample the minority class and/or undersample the majority class
E . after training, divide the model accuracy of each class by the proportion that they represent in the dataset

View Answer

Answer: BE