Articles | Volume 15, issue 14
https://doi.org/10.5194/gmd-15-5481-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-5481-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not
U.S. Geological Survey Central Midwest Water Science Center, Urbana, IL, USA
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- Data-Driven Approaches for Vibroacoustic Localization of Leaks in Water Distribution Networks R. Liu et al. 10.1007/s40710-024-00682-x
- Linking error measures to model questions B. Jacobs et al. 10.1016/j.ecolmodel.2023.110562
- Numerical Analysis of Water–Sediment Flow Fields within the Intake Structure of Pumping Station under Different Hydraulic Conditions C. Xu et al. 10.3390/w16050779
- Cable Broken Wire Signal Recognition Based on Convolutional Neural Network W. Zhu et al. 10.3390/electronics12092138
- Deep neural network for prediction and control of permeability decline in single pass tangential flow ultrafiltration in continuous processing of monoclonal antibodies N. Jesubalan et al. 10.3389/fceng.2023.1182817
- Soft Sensor Modeling Method Considering Higher-Order Moments of Prediction Residuals F. Ma et al. 10.3390/pr12040676
- Potato Production Forecasting Based on Balance Dynamic Biruni Earth Radius Algorithm for Long Short-Term Memory Models S. Towfek & A. Alhussan 10.1007/s11540-024-09721-4
- Risk Assessment for Linear Regression Models in Metrology D. Božić et al. 10.3390/app14062605
- Direct and non-contact measurement of liquid fraction in unconstrained encapsulated PCM melting A. Boroojerdian et al. 10.1016/j.energy.2023.129359
- Artificial intelligence framework for heart disease classification from audio signals S. Abbas et al. 10.1038/s41598-024-53778-7
- Documentation strategy for facilitating the reproducibility of geo-simulation experiments Z. Zhu et al. 10.1016/j.envsoft.2023.105687
- Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps O. Agwu et al. 10.1007/s13202-024-01761-3
- Exploring the Influence of Initial Estimates on Iterative Maximum Likelihood Expectation–maximization in Tomographic Reconstruction M. Qutbi 10.4103/jmp.jmp_110_23
- Research on applying machine learning models to predict and assess return on assets (ROA) P. Son & L. Duong 10.1007/s42107-024-01046-4
- A Multi-Shot Approach for Spatial Resolution Improvement of Multispectral Images from an MSFA Sensor J. Yao et al. 10.3390/jimaging10060140
- Improved Least Squares Phase Unwrapping Method Based on Chebyshev Filter G. Li et al. 10.3390/app14114894
- Remaining lifespan prediction on multiple types of hard disks under conditions of data imbalance Q. Wang et al. 10.1016/j.compeleceng.2024.109195
- Modeling Socioeconomic Determinants of Building Fires through Backward Elimination by Robust Final Prediction Error Criterion A. Untadi et al. 10.3390/axioms12060524
- Machine learning and multi-criteria decision analysis for polyethylene air-gasification considering energy and environmental aspects A. Gharibi et al. 10.1016/j.psep.2023.12.069
- Optimizing removal of antiretroviral drugs from tertiary wastewater using chlorination and AI-based prediction with response surface methodology Z. Kang et al. 10.1016/j.scitotenv.2024.172931
- Missing log prediction using machine learning perspectives: A case study from upper Assam basin B. Mukherjee et al. 10.1007/s12145-024-01323-5
- Probabilistic Time Geographic Modeling Method Considering POI Semantics A. Wang et al. 10.3390/ijgi13010022
- A Multi-Objective Optimization of Neural Networks for Predicting the Physical Properties of Textile Polymer Composite Materials I. Malashin et al. 10.3390/polym16121752
- Structural Ensemble Regression for Cluster-Based Aggregate Electricity Demand Forecasting D. Kontogiannis et al. 10.3390/electricity3040025
- Optimized segmented regression models for the transition period of intervention effects X. Zhang et al. 10.1186/s41256-023-00312-3
- NPP accident prevention: Integrated neural network for coupled multivariate time series prediction based on PSO and its application under uncertainty analysis for NPP data X. Xiao et al. 10.1016/j.energy.2024.132374
- Characterizing streamflow regimes using a distributed model for sustainable resource management in the humid tropics A. Strauch et al. 10.1016/j.jhydrol.2024.131287
- Theoretical study on oxygen evolution reaction mechanism of double rare earth europium-doped graphene under hydroxyl modification in alkaline environment T. Xu et al. 10.1016/j.mcat.2024.114053
- Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression X. Wang et al. 10.1007/s11063-023-11424-9
- An Extended Flood Characteristic Simulation Considering Natural Dependency Structures M. Öttl et al. 10.3390/hydrology10120233
- BenchMetrics Prob: benchmarking of probabilistic error/loss performance evaluation instruments for binary classification problems G. Canbek 10.1007/s13042-023-01826-5
- Enhancing DSS Exploitation Based on VGI Quality Assessment: Conceptual Framework and Experimental Evaluation T. Sboui & S. Aissi 10.3390/systems11080393
- Optimizing Data Security with Hybrid Scheme Based on LSB and DWT S. Abdullah & S. Fleyeh Nawaf 10.25130/tjes.30.3.17
- Deviation of drive torque and rotational speed of a wind turbine drivetrain between test bench and wind turbine simulations A. Krause et al. 10.1088/1742-6596/2767/4/042013
- Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements S. Sahl et al. 10.3390/s24020392
- Development of piezoresistive flexible sensor with dual-height cylindrical microstructure surfaces to achieve vehicle vibration monitoring D. Zhang et al. 10.1088/1361-6439/ad5564
- Combining residual structure and edge loss for face image restoration with generative adversarial networks J. Zhao et al. 10.1007/s11760-023-02931-2
- Prediction and Analysis of Blood Glucose Levels based on Tabnet H. Yang 10.54691/sjt.v5i7.5288
- Reproducing computational processes in service-based geo-simulation experiments Z. Zhu et al. 10.1016/j.jag.2023.103520
- Development of an Intelligent Oil Field Management System based on Digital Twin and Machine Learning N. Tasmurzayev et al. 10.37394/232017.2023.14.12
- Time series prediction of insect pests in tea gardens X. Chen et al. 10.1002/jsfa.13393
- Application and Parameter Optimization of Electro-Kinetic Geosynthetics Electrodes Based on the Wild Horse Optimizer in Horizontal Electric Field Sludge Dewatering Y. Shen et al. 10.3390/w16040545
- Damage detection of spent nuclear fuel canisters using frequency response functions M. Aghagholizadeh et al. 10.1016/j.anucene.2023.109707
- Accuracy Assessment of High-Resolution Globally Available Open-Source DEMs Using ICESat/GLAS over Mountainous Areas, A Case Study in Yunnan Province, China M. Li et al. 10.3390/rs15071952
- Factors Associated With Hearing Aid Outcomes Including Social Networks, Self-Reported Mental Health, and Service Delivery Models B. Mothemela et al. 10.1044/2023_AJA-22-00206
- Collaborative Worker Safety Prediction Mechanism Using Federated Learning Assisted Edge Intelligence in Outdoor Construction Environment S. Moe et al. 10.1109/ACCESS.2023.3320716
- Predictive modeling for design of low elastic modulus and biocompatible β-Ti alloys: A comprehensive machine learning-data driven approach with XGBoost as the key predictor G. Kanapaakala & V. Subramani 10.1177/09544062241253712
- Machine learning approach for predicting yield strength of nitrogen-doped CoCrFeMnNi high entropy alloys at selective thermomechanical processing conditions M. Veeresham et al. 10.1016/j.jmrt.2023.03.146
- Predicción de la presión de burbujeo utilizando aprendizaje automático O. Gil 10.48168/innosoft.s11.a82
- Matilda v1.0: An R package for probabilistic climate projections using a reduced complexity climate model J. Brown et al. 10.1371/journal.pclm.0000295
- Assessing the Influence of a Bias Correction Method on Future Climate Scenarios Using SWAT as an Impact Model Indicator T. Brighenti et al. 10.3390/w15040750
- Wheat Yield Estimation Based on Unmanned Aerial Vehicle Multispectral Images and Texture Feature Indices Y. Kang et al. 10.3390/agriculture14020167
- Cognitive Video Surveillance Management in Hierarchical Edge Computing System with Long Short-Term Memory Model D. Ugli et al. 10.3390/s23052869
- Integration of Watershed eco-physical health through Algorithmic game theory and supervised machine learning A. Nasiri Khiavi et al. 10.1016/j.gsd.2024.101216
- G-code evaluation in CNC milling to predict energy consumption through Machine Learning A. Schmitt et al. 10.1016/j.aime.2024.100140
- A Modeling Design Method for Complex Products Based on LSTM Neural Network and Kansei Engineering J. Duan et al. 10.3390/app13020710
- Development of Regression Models for COVID-19 Trends in Malaysia S. Mutalib et al. 10.37394/23209.2023.20.42
- A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste M. Zaki et al. 10.1021/acsestengg.3c00043
- Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data R. Shi et al. 10.1038/s41598-023-46021-2
- Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development C. Pande et al. 10.1016/j.jclepro.2024.141035
- A machine-learning-based composition design of ternary Cu-based Rochow-Müller catalyst with high M2 selectivity T. Ma et al. 10.1016/j.apcata.2024.119592
- AI-Driven Spectral Decomposition: Predicting the Most Probable Protein Compositions from Surface Enhanced Raman Spectroscopy Spectra of Amino Acids S. Srivastava et al. 10.3390/bioengineering11050482
- Modeling and Prediction of Carbon Monoxide during the Start-Up in ICE through VARX Regression A. Garcia-Basurto et al. 10.3390/en17112493
- Utilizing an intelligent machine learning strategy for predicting the tensile strength and ductility properties of nitrogen doped CoCrFeMnNi based high entropy alloys M. Veeresham et al. 10.1016/j.jallcom.2023.173089
- Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models V. Nwazelibe & J. Egbueri 10.1007/s12665-024-11533-1
- Prediction of the friction torque of scaled blade bearings in a test rig using machine learning M. Hohmann et al. 10.1088/1742-6596/2767/5/052010
- Adaptive hybrid Kalman filter for attitude motion parameters estimation of space non-cooperative tumbling target Y. Wei et al. 10.1016/j.ast.2023.108832
- Identifying key determinants of discharge capacity in ternary cathode materials of lithium-ion batteries X. Li et al. 10.1016/j.cclet.2024.109870
- A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges B. Chen et al. 10.1007/s10462-024-10786-3
- Modelling and control of hydrogen production processes based on electrolysis E. Mironov 10.14498/tech.2023.2.6
- Validation of behavioural sampling techniques for 20-25 kg pigs during transport C. Kobek-Kjeldager et al. 10.1016/j.livsci.2024.105411
- Application of Machine Learning Models in Systemic Lupus Erythematosus F. Ceccarelli et al. 10.3390/ijms24054514
- Vision through Obstacles—3D Geometric Reconstruction and Evaluation of Neural Radiance Fields (NeRFs) I. Petrovska & B. Jutzi 10.3390/rs16071188
- Multi-Scale Temporal Convolutional Networks for Effluent COD Prediction in Industrial Wastewater Y. Geng et al. 10.3390/app14135824
- Proposed frequency decoupling-based fuzzy logic control for power allocation and state-of-charge recovery of hybrid energy storage systems adopting multi-level energy management for multi-DC-microgrids M. Hartani et al. 10.1016/j.energy.2023.127703
- Robust data-driven dynamic model discovery of industrial robots with spatial manipulation capability using simple trajectory M. Omar et al. 10.1007/s11071-024-09526-7
- Using Transfer Learning and XGBoost for Early Detection of Fires in Offshore Wind Turbine Units A. Wan et al. 10.3390/en17102330
- Combinatorial Component Day-Ahead Load Forecasting through Unanchored Time Series Chain Evaluation D. Kontogiannis et al. 10.3390/en17122844
- Fuzzy Windows with Gaussian Processed Labels for Ordinal Image Scoring Tasks C. Kang et al. 10.3390/app13064019
- Modeling the effects of speed limit cameras (SLCs) on air quality and traffic flow on access-controlled highways D. Akin et al. 10.1016/j.apr.2023.101920
- Three-dimensional Reverse Modeling and Hydraulic Analysis of the Intake Structure of Pumping Stations on Sediment-laden Rivers C. Xu et al. 10.1007/s11269-022-03385-w
- Research on Grain Moisture Model Based on Improved SSA-SVR Algorithm W. Cao et al. 10.3390/app14083171
- The catastrophic effects of groundwater intensive exploitation and Megadrought on aquifers in Central Chile: Global change impact projections in water resources based on groundwater balance modeling J. Jódar et al. 10.1016/j.scitotenv.2023.169651
- Methods and Models of Machine Learning in Chemistry and Material Science Using Solute Diffusion Experiment O. Veretiuk & N. Andrushchak 10.23939/cds2024.01.068
- An Individualized Machine Learning Approach for Human Body Weight Estimation Using Smart Shoe Insoles F. Sanghavi et al. 10.3390/s23177418
- Energy security and the shift to renewable resources: The case of Russia-Ukraine war H. Nguyen et al. 10.1016/j.exis.2024.101442
- Application of machine learning techniques to the analysis and prediction of drug pharmacokinetics R. Ota & F. Yamashita 10.1016/j.jconrel.2022.11.014
- Machine Learning-Powered Forecasting of Climate Conditions in Smart Greenhouse Containing Netted Melons Y. Jeon et al. 10.3390/agronomy14051070
- Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method Y. Chen et al. 10.1109/ACCESS.2023.3305398
- Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring M. Pourramezan et al. 10.1021/acsomega.3c07780
- A data-driven framework to inform sustainable management of animal manure in rural agricultural regions using emerging resource recovery technologies M. Zaki et al. 10.1016/j.cesys.2024.100188
- Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review A. ZhuParris et al. 10.3390/s23115243
- Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks G. Montanaro et al. 10.34133/plantphenomics.0061
- Superconducting Gravimeters: A Novel Tool for Validating Remote Sensing Evapotranspiration Products J. Pendiuk et al. 10.3390/hydrology10070146
- A Deep Learning Approach to Real-time Electricity Load Forecasting A. AL-HAMİD & S. SAVAŞ 10.59940/jismar.1357804
- Assessment and Prediction of Sea Level and Coastal Wetland Changes in Small Islands Using Remote Sensing and Artificial Intelligence N. Raj & S. Pasfield-Neofitou 10.3390/rs16030551
- Translation of machine learning approaches into gas hydrate saturation proxy: a case study from Krishna-Godavari (KG) offshore basin B. Mukherjee et al. 10.1007/s11001-024-09546-3
- Evaluating degradation in emotional speech quality over a 4G telephone network I. Hadjadji & L. Falek 10.1007/s11042-023-17785-6
- DCAE-SR: Design of a Denoising Convolutional Autoencoder for Reconstructing Electrocardiograms Signals at Super Resolution U. Lomoio et al. 10.2139/ssrn.4787032
- Review of Segmentation Methods for Coastline Detection in SAR Images M. Ciecholewski 10.1007/s11831-023-10000-7
- KE: A Knowledge Enhancing Framework for Machine Learning Models Y. Wang et al. 10.1021/acs.jpca.3c04076
- Grey-box model for model predictive control of buildings P. Klanatsky et al. 10.1016/j.enbuild.2023.113624
- Impacts of spatial imputation on location-allocation problem solutions D. Kim et al. 10.1016/j.spasta.2024.100810
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- Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions F. Wang et al. 10.1016/j.resourpol.2023.103747
- Age estimation in fishes using epigenetic clocks: Applications to fisheries management and conservation biology F. Piferrer & D. Anastasiadi 10.3389/fmars.2023.1062151
- Age estimation through facial images using Deep CNN Pretrained Model and Particle Swarm Optimization N. Muliawan et al. 10.1051/e3sconf/202342601041
- Regime shifts in Arctic terrestrial hydrology manifested from impacts of climate warming M. Rawlins & A. Karmalkar 10.5194/tc-18-1033-2024
- Parabolic Modeling Forecasts of Space and Time European Hydropower Production C. Lincaru et al. 10.3390/pr12061098
- Retrieval of high-resolution aerosol optical depth (AOD) using Landsat 8 imageries over different LULC classes over a city along Indo-Gangetic Plain, India R. Singh et al. 10.1007/s10661-024-12631-0
- U-Patch GAN: A Medical Image Fusion Method Based on GAN C. Fan et al. 10.1007/s10278-022-00696-7
- Detection and Counting of Small Target Apples under Complicated Environments by Using Improved YOLOv7-tiny L. Ma et al. 10.3390/agronomy13051419
- A novel autoencoder modeling method for intelligent assessment of bearing health based on Short-Time Fourier Transform and ensemble strategy Y. Hao et al. 10.1016/j.precisioneng.2023.09.007
- Curve-Aware Model Predictive Control (C-MPC) Trajectory Tracking for Automated Guided Vehicle (AGV) over On-Road, In-Door, and Agricultural-Land S. Manikandan et al. 10.3390/su141912021
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- Design and hierarchical analysis of magnetic actuated robot: A governing equation based approach S. Wei et al. 10.1016/j.compbiomed.2024.108142
- Adaptive LASSO estimation for functional hidden dynamic geostatistical models P. Maranzano et al. 10.1007/s00477-023-02466-5
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- Hotspot Temperature Prediction of Relay Protection Equipment Based on a Physical-Model-Aided Data-Driven Method L. Jin et al. 10.3390/en17040816
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- Noise-Assessment-Based Screening Method for Remote Photoplethysmography Estimation K. Lee et al. 10.3390/app13179818
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- Acoustic Source Tracking Based on Probabilistic Data Association and Distributed Cubature Kalman Filtering in Acoustic Sensor Networks Y. Chen et al. 10.3390/s22197160
- IMA‐LSTM: An Interaction‐Based Model Combining Multihead Attention with LSTM for Trajectory Prediction in Multivehicle Interaction Scenario X. Yin et al. 10.1155/2024/3058863
- Prediction of bio-oil yield by machine learning model based on 'enhanced data' training C. Zhao et al. 10.1016/j.renene.2024.120218
- Improved accuracy and less fault prediction errors via modified sequential minimal optimization algorithm M. Asim Shahid et al. 10.1371/journal.pone.0284209
- The Efficacy of Autoencoders in the Utilization of Tabular Data for Classification Tasks A. Altaibek et al. 10.1016/j.procs.2024.06.052
- Review – Plant nutritional status analysis employing the visible and near-infrared spectroscopy spectral sensor S. Zahir et al. 10.1016/j.saa.2023.123273
- Blockchain and differential privacy-based data processing system for data security and privacy in urban computing G. Heo & I. Doh 10.1016/j.comcom.2024.04.027
- Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia K. Tareke & A. Awoke 10.1016/j.heliyon.2023.e13287
- OSA onset: An algorithm for determining the onset and duration of obstructive sleep apnea (OSA) M. Olaithe et al. 10.1016/j.sleep.2023.08.027
- Profitability and cost-effectiveness analysis of brucellosis control in Armenia: A One Health approach U. Anyanwu et al. 10.1079/cabionehealth.2024.0010
- Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach R. Nakamoto et al. 10.3390/computers12110217
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- Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes D. Escobar-González et al. 10.3390/w14192998
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Latest update: 17 Jul 2024
Executive editor
This is a beautifully written exposition of the properties of two key statistics used in the evalution of models. Everyone working with models should read this paper.
This is a beautifully written exposition of the properties of two key statistics used in the...
Short summary
The task of evaluating competing models is fundamental to science. Models are evaluated based on an objective function, the choice of which ultimately influences what scientists learn from their observations. The mean absolute error (MAE) and root-mean-squared error (RMSE) are two such functions. Both are widely used, yet there remains enduring confusion over their use. This article reviews the theoretical justification behind their usage, as well as alternatives for when they are not suitable.
The task of evaluating competing models is fundamental to science. Models are evaluated based on...