About this document
Inductive Learning and Decision Trees is a document available to read on EtoBox.
The document discusses machine learning concepts including: 1) Learning agents can modify their decision mechanisms through learning to improve their performance based on feedback from their environment. 2) Inductive learning involves using examples to learn a target function by finding a hypothesis that approximates the function. Decision trees can be used as a representation for hypotheses. 3) The number of possible distinct decision trees grows exponentially based on the number of attributes, result
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