A Step by Step ID3 Decision Tree Example - Sefik Ilkin Serengil
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A Step by Step ID3 Decision Tree Example - Sefik Ilkin Serengil
Decision tree algorithms transfom raw data to rule based decision making trees. Herein, ID3 is one of the most common decision tree algorithm. The algorithm iteratively divides attributes into two groups which are the most dominant attribute and others to construct a tree.
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SOLVED: Construct a decision tree for the following dataset using the ID3 algorithm. Calculate the values of Overall Information Gain, Entropy, and Gains for each attribute. Justify the branching in the final decision tree structure. The classes are indicated by the last column named "Inference".Cycle DocSub Category Inference Third Yes Layer Third No Layer 0 Third No Rock 0 Second Yes Layer 0 Second Yes Rock 0 Second No Rock 1 Second No Layer 1 First Yes Layer 1 First No Rock 1 First No Layer
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