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imbalance class classification

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Imbalance Class Classification using Random Forest

@machinelearnbotFeb-27-2018, 12:45:28 GMT

I agree with the idea of using boosting algorithms is better but not enough in practice. SMOTE would be a good starting point (definitely I would opt for a over-sampling strategy) but there are others. Here you can find a nice implementation of solutions for imbalanced data in python (scikit-learn-contrib). The success of any of these techniques depend largely on the nature of your data. Therefore, I would suggest you try different approaches and see how they affect your results.

artificial intelligence, decision tree learning, imbalance class classification, (2 more...)

@machinelearnbot

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Information Technology > Artificial Intelligence > Machine Learning > Ensemble Learning (0.40)
Information Technology > Artificial Intelligence > Machine Learning > Decision Tree Learning (0.40)

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