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Suppose I'm using the Spambase dataset, with 57 real continuous variables and one binary label, and I'd like to implement the Find-S or LGG or similar algorithms.

  1. How do I represent the dataset for usage in the algorithm? I've tried binning by standard deviation, binning by heuristics.

  2. Is there an adaption for concept learning for continuous variables?

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