Results 51 to 60 of about 531,242 (294)
Mean absolute prediction error in the N-fold cross-validation set. [PDF]
, 2023 Mean absolute prediction error in the N-fold cross-validation set.
Amanda Elswick Gentry (11635393) +4 more
core +1 more source
Mean Absolute Percentage Error for Regression Models [PDF]
, 2020 We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We prove the existence of an optimal MAPE model and we show the universal consistency of Empirical Risk Minimization
Bénédicte Le Grand +3 more
core
The mean absolute error of predictive travel time of route 2 # (entire route). [PDF]
, 2022 The mean absolute error of predictive travel time of route 2 # (entire route).
Les Lauber (11868978) +5 more
core +1 more source
Mean error and mean absolute error for Method B (applied to 153 mandible sample). [PDF]
Mean error and mean absolute error for Method B (applied to 153 mandible sample).
Robert Losey (18291204) +4 more
core +1 more source
Comparison of mean absolute errors for both groups in each condition (mean ± standard error) [PDF]
, 2015 Comparison of mean absolute errors for both groups in each condition (mean ± standard error)
Jean-Alexandre Boucher (787673) +4 more
core +1 more source
International Journal of Coal Science & Technology, 2022 Collaborative prediction model of gas emission quantity was built by feature selection and supervised machine learning algorithm to improve the scientific and accurate prediction of gas emission quantity in the mining face.
Jie Zhou +5 more
doaj +1 more source
Mean Error and Mean Absolute Error (m) in flame height predictions for three model treatments of 58 sites, with standard error shown in brackets. [PDF]
, 2016 Mean Error and Mean Absolute Error (m) in flame height predictions for three model treatments of 58 sites, with standard error shown in brackets.
Ross A. Bradstock (187422) +7 more
core +1 more source
Prediction performance of progression free survival as mean absolute error (MAE). [PDF]
, 2023 Prediction performance of progression free survival as mean absolute error (MAE).
Tim Q. Duong (9179067) +2 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
Comparative Analysis Using Multiple Regression Models for Forecasting Photovoltaic Power Generation
EnergiesEffective machine learning regression models are useful toolsets for managing and planning energy in PV grid-connected systems. Machine learning regression models, however, have been crucial in the analysis, forecasting, and prediction of numerous ...
Burhan U Din Abdullah +5 more
doaj +1 more source