A Method for Vibration Testing Decision Tree-Based Classification Systems.

Authors

  • B.Siva
  • Ruhi

Keywords:

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Abstract

"Without any intervention from a person, computers are capable of "learning" new things by analyzing data in various ways (training and testing) and making conclusions. One application of ML is decision trees. Many diverse disciplines make use of decision tree techniques. These algorithms have a wide variety of potential applications, including search engines, text extraction, and companies that provide medical certifications. Decision tree algorithms that are both accurate and affordable are now at our fingertips. Whenever a choice is necessary, it is critical to know what the best choice is. We present three decision tree algorithms in this study: ID3, C4.5, and CART. We use tools like WEKA, ML, and DT.

 

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Published

2023-09-07

How to Cite

B.Siva, & Ruhi. (2023). A Method for Vibration Testing Decision Tree-Based Classification Systems . Journal of Science & Technology (JST), 8(9), 1–8. Retrieved from https://jst.org.in/index.php/pub/article/view/993