Relationships Among Various Parameters for Decision Tree Optimization

Author(s):  
Shahid Hussain
2010 ◽  
Vol 44-47 ◽  
pp. 3448-3452
Author(s):  
Wei Xiang Xu ◽  
Jing Xu ◽  
Xu Min Liu ◽  
Rui Dong

The methods of pruning have great influence on the effect of the decision tree. By researching on the pruning method based on misclassification, introduced the conception of condition misclassification and improved the standard of pruning. Propose the conditional misclassification pruning method for decision tree optimization and apply it in C4.5 algorithm. The experiment result shows that the condition misclassification pruning can avoid over pruned problem and non-enough pruned problem to some extent and improve the accurate of classification.


2019 ◽  
Vol 1255 ◽  
pp. 012012 ◽  
Author(s):  
Irfan Sudahri Damanik ◽  
Agus Perdana Windarto ◽  
Anjar Wanto ◽  
Poningsih ◽  
Sundari Retno Andani ◽  
...  

2021 ◽  
Author(s):  
Arman Zharmagambetov ◽  
Suryabhan Singh Hada ◽  
Magzhan Gabidolla ◽  
Miguel A. Carreira-Perpinan

2019 ◽  
Vol 1255 ◽  
pp. 012056
Author(s):  
Relita Buaton ◽  
Herman Mawengkang ◽  
Muhammad Zarlis ◽  
Syahril Effendi ◽  
Akim Manaor Hara Pardede ◽  
...  

2018 ◽  
Vol 22 (S3) ◽  
pp. 7559-7568 ◽  
Author(s):  
Hongbin Wang ◽  
Tong Wang ◽  
Yucai Zhou ◽  
Lianke Zhou ◽  
Huafeng Li

Sign in / Sign up

Export Citation Format

Share Document