Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Prediction Accuracy Measure

Chapter 5
Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
Prediction accuracy measure is a numerical measure of the difference between actual and prediction of the trained model. Mean squared error (MSE), root mean squared error (RMSE) and mean absolute error (MAE) are commonly used to evaluate the performance.
Published in Chapter:
Predictions For COVID-19 With Deep Learning Models of Long Short-Term Memory (LSTM)
Fan Wu (Purdue University, USA) and Juan Shu (Purdue University, USA)
Copyright: © 2022 |Pages: 26
DOI: 10.4018/978-1-7998-8455-2.ch005
Abstract
COVID-19, one of the most contagious diseases and urgent threats in recent times, attracts attention across the globe to study the trend of infections and help predict when the pandemic will end. A reliable prediction will make states and citizens acknowledge possible consequences and benefits for the policymaker among the delicate balance of reopening and public safety. This chapter introduces a deep learning technique and long short-term memory (LSTM) to forecast the trend of COVID-19 in the United States. The dataset from the New York Times (NYT) of confirmed and deaths cases is utilized in the research. The results include discussion of the potential outcomes if extreme circumstances happen and the profound effect beyond the forecasting number.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR