首页|New Machine Learning Study Results Reported from Siksha O Anusandhan University (Electricity Consumption Classification using Various Machine Learning Models)
New Machine Learning Study Results Reported from Siksha O Anusandhan University (Electricity Consumption Classification using Various Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news originating from Siksha O Anusandhan University by NewsRx correspondents, research stated, "As populatio n has increased over successive generations, human dependency on electricity has increased to the point where it has become a norm and indispensable, and the id ea of living without it has become unthinkable." The news editors obtained a quote from the research from Siksha O Anusandhan Uni versity: "Machine learning is emerging as a fundamental method for performing ta sks autonomously without human intervention. Forecasting electricity consumption is challenging due to the many factors that influence it; embracing modern tech nology with its heavy focus on machine learning and artificial intelligence is a potential solution. This study employs various machine learning algorithms to f orecast power usage and determine which method performs best in predicting the d ataset based on different variables. Eight models were tested, including Linear Regression, DT Classifier, RF Classifier, KNN, DT Regression, SVM, Logistic Regr ession, and GNB Classifier. The Decision Tree model had the greatest accuracy of 98.3%."
Siksha O Anusandhan UniversityCyborgsEmerging TechnologiesMachine Learning
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