Difference between revisions of "Datamining: Classification"
		
		
		
		
		
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Onnowpurbo (talk | contribs)  (Created page with "sumber: http://www.saedsayad.com/classification.htm    ==Referensi==  * 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  | ||
| + |         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 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