Decision Tree Algorithm In Machine Learning


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  • Categorized feature values are desired; if the values persist, they are changed to discrete values before the model is built.
  • Records are recursively distributed based on attribute values.
  • As a root node or an internal node, we employ a statistical method for sorting attributes.
  1. It is straightforward to comprehend since it follows the identical steps that a human would take while making a decision in real life.



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