C5 Causal Decision Tree

Authors(3) :-S. Arul Selvi, S. Sowmiya, R. Sangeetha

A choice tree is fabricated best down from a root hub and includes apportioning the information into subsets that contain examples with comparative esteems (homogenous). On the off chance that the example is totally homogeneous the entropy is zero and if the example is a similarly partitioned it has entropy of one. C5.0 calculation and blue line demonstrates proposed calculation. With the assistance of diagram we can see that exactness of enhanced C5.0 is high when the information estimate is less. In any case, precision of C5.0 calculation diminishes with the expansion of information measure. Exactness of proposed show is superior to anything C5.0 for expansive information estimate.

Authors and Affiliations

S. Arul Selvi
Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
S. Sowmiya
Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
R. Sangeetha
Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India

Decision tree, Causal relationship, Potential outcome model, Partial association

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 876-879
Manuscript Number : CSEIT1833100
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Arul Selvi, S. Sowmiya, R. Sangeetha, "C5 Causal Decision Tree", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.876-879, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833100

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