You are building a binary classification model by using a supplied training set.
The training set is imbalanced between two classes.
You need to resolve the data imbalance.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Question

You are building a binary classification model by using a supplied training set.

The training set is imbalanced between two classes.

You need to resolve the data imbalance.

What are three possible ways to achieve this goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Anton Khodyakov · Accepted Answer

Penalize the classification

Anton Khodyakov · Accepted Answer

Resample the dataset using undersampling or oversampling

Anton Khodyakov · Accepted Answer

Generate synthetic samples in the minority class

Anton Khodyakov · Answer

Normalize the training feature set

Anton Khodyakov · Answer

Use accuracy as the evaluation metric of the model

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