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What is Root Mean Square Error (RMSE)

Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics
It is a measure of the difference between predicted values and actual values in a dataset.
Published in Chapter:
Restaurant Sales Prediction Using Machine Learning
S M Nazmuz Sakib (International MBA Institute, School of Business and Trade, Dhaka International University, Bangladesh)
DOI: 10.4018/978-1-6684-7105-0.ch011
In general, the revenue forecast, offer information, and the weather gauge setting will record an accurate estimate of any restaurant's future revenue. The turnover is significantly focused on the need of the customers. Either way, the performance has transformed over the past couple of years with the presentation of huge amounts of information and calculations during the time taken to gain the upper hand. It is fundamental to learn and understand the importance of the information that will be used in any business process. Again, climate forecasting can be done alongside business expectations with the organization.
Full Text Chapter Download: US $37.50 Add to Cart
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Biometric Identification System Using Neuro and Fuzzy Computational Approaches
It is used as the primary criterion to ascertain the extent of learning acquired by the ANFIS. It is defined by the sum of the square of the difference between the actual and desired output.
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Inflation Rate Modelling Through a Hybrid Model of Seasonal Autoregressive Moving Average and Multilayer Perceptron Neural Network
Is a frequently used measure of the differences between values predicted by a model or an estimator and the values observed.
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