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About Simple Learning Algorithms: Jiming Peng, Advol, Cas, Mcmaster 1
The document discusses various simple machine learning algorithms, including the 1R algorithm for generating classification rules based on single attributes. It provides an example applying the 1R algorithm to a weather dataset to classify whether it is suitable for playing tennis. Other algorithms discussed include naive Bayes classification, which makes probabilistic predictions based on attribute values and their probabilities, and decision trees, which use information gain to recursively split data into purer subsets based on attribute values. The document notes some issues that can arise with these algorithms like overfitting and provides ways to address them.
Detailed Information
| Author: | ['a'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 41 |
| Language: | English |
| Format: | |
| Price: | FREE |
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