Construct a decision tree from scratch using Python.
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Task: Construct a decision tree from scratch using Python.Do not use a previously used dataset. To do this, choose one of the splitting approaches to decision trees, and create an algorithm from scratch. Identify test data to be used on the algorithm and illustrate the output of the prediction.You should determine what splitting approach to use across information gain, gain ratio, or Gini Index.Considerations should also include the type of data so that it splits appropriately and how to arrange splits.
Details: You must implement the algorithm in Python.
¡Single file of 100-200 lines of code ¡Code should adhere to best practice code standards (https://www.python.org/dev/peps/pep-0008/)
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