Results 11 to 20 of about 6,580,146 (248)

On Some Inequalities of Symmetric Means and Mixed Means [PDF]

, 2005
We improve some inequalities involving the symmetric means.
Gao, Peng
core   +6 more sources

Mean absolute error (MAE), R squared, root mean squared error (RMSE), symmetric mean absolute percentage error (SMAPE) for train, test & validation data.

, 2023
Mean absolute error (MAE), R squared, root mean squared error (RMSE), symmetric mean absolute percentage error (SMAPE) for train, test & validation data.
Swapnashree Satapathy (15426889), Ruchi Bhuyan (15426883), Dattatreya Kar (2817637), Abdul Akbar (15426880), Bibhudutta Pattnaik (15426892), Sanat Kumar Bhuyan (15426877), Guru Charan Nayak (15426886), Akankshya Sahu (15426874), Ananya Kuanar (3392471), Gayatree Nayak (15426871)   +9 more
core   +1 more source

Using the Mean Absolute Percentage Error for Regression Models [PDF]

, 2015
International audienceWe study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models.
Rossi, Fabrice, de Myttenaere, Arnaud, Le Grand, Bénédicte, Golden, Boris   +3 more
core   +2 more sources

A Comparison of the Performance of Different Interpolation Methods in Replicating Rainfall Magnitudes under Different Climatic Conditions in Chongqing Province (China)

Atmosphere, 2021
Precipitation is considered a crucial component in the hydrological cycle and changes in its spatial pattern directly influence the water resources.
Ruting Yang, Bing Xing
doaj   +1 more source

A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China

BMC Infectious Diseases, 2022
Background Tuberculosis (TB) is the respiratory infectious disease with the highest incidence in China. We aim to design a series of forecasting models and find the factors that affect the incidence of TB, thereby improving the accuracy of the incidence ...
Enbin Yang, Hao Zhang, Xinsheng Guo, Zinan Zang, Zhen Liu, Yuanning Liu   +5 more
doaj   +1 more source

Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not [PDF]

, 2022
The root-mean-squared error (RMSE) and mean absolute error (MAE) are widely used metrics for evaluating models. Yet, there remains enduring confusion over their use, such that a standard practice is to present both, leaving it to the reader to decide ...
T. O. Hodson, Timothy O. Hodson, Spíchal, Luděk   +2 more
core   +2 more sources

A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks [PDF]

PeerJ Computer Science
Shared bikes, as an eco-friendly transport mode, facilitate short commutes for urban dwellers and help alleviate traffic. However, the prevalent station-based strategy for bike placements often overlooks urban zones, cycling patterns, and more, resulting
Chaoran Zhou, Jiahao Hu, Xin Zhang, Zerui Li, Kaicheng Yang   +4 more
doaj   +2 more sources

Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak [PDF]

PeerJ Computer Science, 2021
Background Forecasting the time of forthcoming pandemic reduces the impact of diseases by taking precautionary steps such as public health messaging and raising the consciousness of doctors.
Muhammad Naeem, Jian Yu, Muhammad Aamir, Sajjad Ahmad Khan, Olayinka Adeleye, Zardad Khan   +5 more
doaj   +2 more sources

Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models

Remote Sensing, 2023
Estimating plant physiological indicators with remote sensing technology is critical for ensuring precise field management. Compared with other remote sensing platforms, low-altitude unmanned aerial vehicles (UAVs) produce images with high spatial ...
Shiyuan Liu, Bin Zhang, Weiguang Yang, Tingting Chen, Hui Zhang, Yongda Lin, Jiangtao Tan, Xi Li, Yu Gao, Suzhe Yao, Yubin Lan, Lei Zhang   +11 more
doaj   +1 more source

Prediction of air quality index based on the SSA-BiLSTM-LightGBM model

Scientific Reports, 2023
The air quality index (AQI), as an indicator to describe the degree of air pollution and its impact on health, plays an important role in improving the quality of the atmospheric environment.
Xiaowen Zhang, Xuchu Jiang, Ying Li
doaj   +1 more source