#π Time Series Imbalance data
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@fiery helm
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I had done this once long time ago, so can't remember how it was handled. But you might want to check K-Nearest Neighbors algorithm - https://www.tencentcloud.com/techpedia/101798
- Create a synthesized data
- Retrain the dataset
- Test prediction if the prediction rate is improved.
I could be wrong. But FYI.
The K-Nearest Neighbors (KNN) algorithm can struggle with imbalanced datasets, as it relies on the majority vote of the nearest neighbors to classify a new instance. In an imbalanced dataset, where on...
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