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stratified sampling association rules multiple classification Apriori algorithm discretization Nearest Neighbor Classifier feature subset selection feature creation Dimensionality Reduction Pre-processing Automated Test variable transformation zero count data-mining pre processing MLP calculation LVQ Naïve Bayes classifier Numeric underflow Curse of dimensionality

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Entropy

2023. 2. 22. 20:28ㆍMachine Learning

 

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관련글

  • Why the Naïve Bayes classifier is efficient? 2023.02.27
  • Explaination of “zero count” problem for Naïve Bayes classifier, and use a concrete example to explain how this problem can be avoided 2023.02.27
  • Why large-scale machine learning is challenging? 2023.02.27
  • Why pre-processing can improve the quality of data pipeline? 2023.02.27
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