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Which of the following is a common method for handling imbalanced datasets in cl

Practice Questions

Q1
Which of the following is a common method for handling imbalanced datasets in classification problems?
  1. Using a larger dataset
  2. Oversampling the minority class
  3. Reducing the number of features
  4. Using a simpler model

Questions & Step-by-Step Solutions

Which of the following is a common method for handling imbalanced datasets in classification problems?
  • Step 1: Understand what an imbalanced dataset is. This means one class has many more examples than another class.
  • Step 2: Recognize that this imbalance can make it hard for a model to learn about the less common class.
  • Step 3: Learn about oversampling, which is a technique to help balance the classes.
  • Step 4: Oversampling involves adding more examples to the minority class, so it has more data for the model to learn from.
  • Step 5: By using oversampling, the model can improve its ability to predict the minority class correctly.
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