Problems with the existing approach

We got the baseline score using the AdaBoost and GradientBoosting classifiers. Now, we need to increase the accuracy of these classifiers. In order to do that, we first list all the areas that can be improvised but that we haven't worked upon extensively. We also need to list possible problems with the baseline approach. Once we have the list of the problems or the areas on which we need to work, it will be easy for us to implement the revised approach.

Here, I'm listing some of the areas, or problems, that we haven't worked on in our baseline iteration:

  • Problem: We haven't used cross-validation techniques extensively in order to check the overfitting issue.
    • Solution: If we use cross-validation techniques properly, ...

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