Which of the following techniques can be used to handle imbalanced datasets in c

Which of the following techniques can be used to handle imbalanced datasets in classification?

Which of the following techniques can be used to handle imbalanced datasets in classification?

Step 1: Understand what an imbalanced dataset is. This means one class has many more examples than the other class.
Step 2: Learn about resampling methods. These are techniques to adjust the number of examples in each class.
Step 3: Explore oversampling. This means adding more examples to the minority class to balance the dataset.
Step 4: Explore undersampling. This means reducing the number of examples in the majority class to balance the dataset.
Step 5: Choose the method that best fits your data and problem.

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