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python code implementation to the unknown attributes value in decision tree -- 2

By using benchmark classical dataset.

implement a python code for decision tree that deal with the unknown attribute values by assign probability pi to each possible value vi of A assign fraction pi of example to each descendant in tree and edit the same code to deal with the unknown value by : 1- Assign most common value of A among other examples with same target value 2- If node n tests A , assign most common value of A among other examples sorted to node n then do a comparison between the three ways.

Kindly edit the same code

Taidot: Python, Machine Learning (ML), Keinoäly

Tietoa asiakkaasta:
( 1 arvostelu ) Riyadh, Saudi Arabia

Projektin tunnus: #33795544

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FirmMinds123

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