Winsorize tree algorithm for handling outliers in classification problem
Classification and Regression Tree (CART) is designed to predict or classify the objects in the predetermined classes from a set of predictors. However, having outliers could affect the structures of CART, purity and predictive accuracy in classification. Some researchers opt to perform pre-pruning...
| मुख्य लेखक: | Ch’ng, Chee Keong | 
|---|---|
| स्वरूप: | थीसिस | 
| भाषा: | अंग्रेज़ी अंग्रेज़ी  | 
| प्रकाशित: | 
          
        2016
     | 
| विषय: | |
| ऑनलाइन पहुंच: | https://etd.uum.edu.my/5780/1/depositpermission_s92068.pdf https://etd.uum.edu.my/5780/14/s92068_01.pdf  | 
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समान संसाधन
- 
        Development and modification of H-statistic with winsorized approach means
    
द्वारा: Teh, Kian Wooi
प्रकाशित: (2017) - 
        Winsorized modified one of step M-estimator in Alexander-govern test
    
द्वारा: Ochuko, Tobi Kingsley
प्रकाशित: (2016) - 
        H-statistic with winsorized modified one-step M-estimator as central tendency measure
    
द्वारा: Ong, Gie Xao
प्रकाशित: (2017) - 
        A Robust high dimensional correlation matrices statistic for covariance singularity with outlier
    
द्वारा: Bahtiar Jamili, Zaini
प्रकाशित: (2025) - 
        Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems
    
द्वारा: Woon, Siew Fang
प्रकाशित: (2009)