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Can we make two separate models vs one for classification?

Discussion in 'Computer Science' started by Jaskaran Singh Puri, Oct 8, 2018.

  1. Suppose I have a binary classification problem and my data is imbalanced, I can build a classification model using any of the algorithms and use an oversampling or undersampling technique to handle the class imbalance.

    What If I were to make two separate models independently, each model trained only for one class of data. Will this be a right approach?

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