Datamining: Classification: Difference between revisions

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





Latest revision as of 03:47, 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