Identification of dry bean varieties based on multiple attributes using catboost machine learning algorithm

HIGHLIGHTS

• who: S. Krishnan et al. from the Department of EEE, Mahendra Engineering College (Autonomous), Namakkal, Tamil Nadu, India Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University) have published the research: Identification of Dry Bean Varieties Based on Multiple Attributes Using CatBoost Machine Learning Algorithm, in the Journal: Scientific Programming of 21/04/2023
• what: To make the model more accurate, the BCT was used to reduce the skewness of the dataset`s attributes, making them almost identical to a normal distribution. The aim of this study is . . .
  

   

  

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