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Prediction-Based Analysis of Diesel Prices Using Naïve Bayes Classifier Model

  • Pratham Raj Singh,
  • Tanishq Sangrai,
  • Amanpreet Kaur

摘要

Diesel oil is one of the most consumable fuels in the world. The Naïve Bayes fits in the dataset which is dependent upon the type of provided data points. We have used two algorithms for accurate prediction of diesel prices in India. There are many reasons for which diesel prices are increasing but one of the reasons is Russia and Ukraine war because Russia is the biggest oil suppliers in the world, and due to this, the prices of oils are increasing. The other reason is the countries which have oils, and they are selling it very costly to the world. This has become the major issues in the world where prices of diesel are increasing day by day. In this paper, we have predicted the values of diesel prices in the future analysis for innovation. We have applied the used the naïve Bayes classifier which is one of the essential parts of machine learning algorithms for industry purposes. After that, we have used the naïve Bayes algorithm which has given us the accurate result.