Difference between revisions of "Datamining: Classification"

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sumber: http://www.saedsayad.com/classification.htm
 
sumber: http://www.saedsayad.com/classification.htm
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Classification is a data mining task of predicting the value of a categorical variable (target or class) by building a model based on one or more numerical and/or categorical variables (predictors or attributes).
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Four main groups of classification algorithms are:
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    Frequency Table
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        ZeroR
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        OneR
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        Naive Bayesian
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        Decision Tree
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    Covariance Matrix
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        Linear Discriminant Analysis
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        Logistic Regression
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    Similarity Functions
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        K Nearest Neighbors
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    Others
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        Artificial Neural Network
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        Support Vector Machine
  
  

Latest revision as of 10:47, 1 August 2017

sumber: http://www.saedsayad.com/classification.htm


Classification is a data mining task of predicting the value of a categorical variable (target or class) by building a model based on one or more numerical and/or categorical variables (predictors or attributes).

Four main groups of classification algorithms are:

   Frequency Table
       ZeroR
       OneR
       Naive Bayesian
       Decision Tree
   Covariance Matrix
       Linear Discriminant Analysis
       Logistic Regression
   Similarity Functions
       K Nearest Neighbors
   Others
       Artificial Neural Network
       Support Vector Machine


Referensi