Paper Title

Design and Development of Optimal Causal Probability Decision Tree by computing path probability of Internal Causality nodes

Authors

S.SAJIDA , Dr.K.VijayaLakshmi

Keywords

Decision Tree, Optimal Probability, Correlation, Causal inference internal node Causality,path probability,path scores

Abstract

Data becomes the driving force of the modern world, almost everyone has come across terms like data science, machine learning, artificial intelligence, and data mining. A tree has many real-world analogies, and it turns out that it has influenced a broad area of machine learning, including classification and regression. A decision tree can be used in decision analysis to visually and explicitly represent to make decisions. Though it is a common tool in data mining for developing a strategy to achieve a specific goal, it is also widely used in machine learning, which will be the primary focus in this research paper. Since the trees are generated with a cause and effect relationship, the decision tree's consequence is a Causal probability decision tree. The author proposed a metric for evaluating the Finest Causal Probability Decision Trees by Computing Path Probability of Internal Causality Nodes.

How To Cite

"Design and Development of Optimal Causal Probability Decision Tree by computing path probability of Internal Causality nodes", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.316 - 319, November-2022, Available :https://ijsdr.org/papers/IJSDR2211051.pdf

Issue

Volume 7 Issue 11, November-2022

Pages : 316 - 319

Other Publication Details

Paper Reg. ID: IJSDR_202526

Published Paper Id: IJSDR2211051

Downloads: 000347192

Research Area: Computer Science & Technology 

Country: TIRUPATI, ANDHRA PRADESH, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2211051

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2211051

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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