Conclusion. Encoding categorical data is a crucial step in data preprocessing. By converting categorical data into a numeric format, machine learning models can interpret and work more effectively.

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The encoding example for the excited states of N baryons using the encoding mechanism in this article. With this mechanism, researchers can expect more reliable and precise data, which is critical ...