The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
Regression analysis makes up a large part of supervised machine learning, and consists of
the prediction of a continuous independent target from a set of other predictor variables. The …
the prediction of a continuous independent target from a set of other predictor variables. The …
Integrating gene annotation with orthology inference at scale
Annotating coding genes and inferring orthologs are two classical challenges in genomics
and evolutionary biology that have traditionally been approached separately, limiting …
and evolutionary biology that have traditionally been approached separately, limiting …
[HTML][HTML] Machine learning assisted prediction of mechanical properties of graphene/aluminium nanocomposite based on molecular dynamics simulation
Predicting mechanical properties of graphene-reinforced metal matrix nanocomposites
(GRMMNCs) usually requires atomistic simulations that are computationally expensive …
(GRMMNCs) usually requires atomistic simulations that are computationally expensive …
Electric vehicle energy consumption prediction using stacked generalization: An ensemble learning approach
In this paper, we present an ensemble stacked generalization (ESG) approach for better
prediction of electric vehicles (EVs) energy consumption. ESG is a weighted combination of …
prediction of electric vehicles (EVs) energy consumption. ESG is a weighted combination of …
Predicting mechanical properties of high-performance fiber-reinforced cementitious composites by integrating micromechanics and machine learning
Current development of high-performance fiber-reinforced cementitious composites
(HPFRCC) mainly relies on intensive experiments. The main purpose of this study is to …
(HPFRCC) mainly relies on intensive experiments. The main purpose of this study is to …
Determinants of per-and polyfluoroalkyl substances (PFAS) in midlife women: evidence of racial/ethnic and geographic differences in PFAS exposure
Background Per-and poly-fluoroalkyl substances (PFAS) are public health concerns
because of widespread exposure through contaminated foods/drinking water. Although …
because of widespread exposure through contaminated foods/drinking water. Although …
Predator-driven natural selection on risk-taking behavior in anole lizards
Biologists have long debated the role of behavior in evolution, yet understanding of its role
as a driver of adaptation is hampered by the scarcity of experimental studies of natural …
as a driver of adaptation is hampered by the scarcity of experimental studies of natural …
LIDAR-Based Forest Biomass Remote Sensing: A Review of Metrics, Methods, and Assessment Criteria for the Selection of Allometric Equations
The increasing level of atmospheric carbon dioxide and its effects on our climate system has
become a global environment issue. The forest ecosystem is essential for the stability of …
become a global environment issue. The forest ecosystem is essential for the stability of …
A coefficient of determination (R2) for generalized linear mixed models
HP Piepho - Biometrical journal, 2019 - Wiley Online Library
Extensions of linear models are very commonly used in the analysis of biological data.
Whereas goodness of fit measures such as the coefficient of determination (R2) or the …
Whereas goodness of fit measures such as the coefficient of determination (R2) or the …
Past and potential future effects of habitat fragmentation on structure and stability of plant–pollinator and host–parasitoid networks
I Grass, B Jauker, I Steffan-Dewenter… - Nature Ecology & …, 2018 - nature.com
Habitat fragmentation is a primary threat to biodiversity, but how it affects the structure and
stability of ecological networks is poorly understood. Here, we studied plant–pollinator and …
stability of ecological networks is poorly understood. Here, we studied plant–pollinator and …