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C5 Causal Decision Tree

Author

Listed:
  • S. Arul Selvi
  • S. Sowmiya
  • R. Sangeetha

Abstract

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.

Suggested Citation

  • S. Arul Selvi & S. Sowmiya & R. Sangeetha, 2018. "C5 Causal Decision Tree," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 876-879, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833100
    Note: Article URL: https://ijsrcseit.com/CSEIT1833100
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