Root Mean Square Error
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
... the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation ...average error, and thus the MAE would be a better metric ...
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J. Braz. Chem. Soc. vol.17 número3
... either mean-centered and variance-scaled (model 2) or mean-centered only (model ...(root mean square error of prediction) demonstrated that it is possible to develop good models ...
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J. Braz. Chem. Soc. vol.28 número8
... The building of partial least squares (PLS) regression models using near infrared (NIR) and ultraviolet (UV) spectroscopies to estimate the concentrations of phorbol esters (PEs) in Jatropha curcas L. is presented. The ...
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J. Braz. Chem. Soc. vol.24 número8
... The aim of this study was to evaluate the potential of near-infrared reflectance spectroscopy (NIRS) as a rapid and nondestructive method to determine the soluble solid content (SSC) and pH of intact plums. Samples of ...
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Temporal analysis of charcoal root rot in forest nurseries under different pathogen inoculum densities and soil moisture content
... The data on seedling mortality was used for the preparation of a disease progress curve. Mortality was calculated as the percentage of dead seedlings in relation to total seedlings evaluated for each treatment. Gompertz, ...
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J. Braz. Chem. Soc. vol.22 número7
... the root mean square error of calibration for cross validation (RMSECV) of the model, correlation coeficient (R), latent variable (LV) and root mean square error of ...
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In-situ multispectral and bathymetric measurements over a supraglacial lake in western Greenland using a remotely controlled watercraft
... the error on lake depth retrieval from the assump- tions of a uniform Ad value for the whole lake and using the reflectance values of the pixels at the edge of the lake for ...the mean of the distributions ...
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High-resolution topography for Digital Terrain Model (DTM) in Keller Peninsula, Maritime Antarctica
... The Root Mean Square Error (RMSE) was calculated comparing DTM elevations (HRT-DTM and APG-DTM) with validation points values (57 points), by using the equation below (Willmott and Matsuura ...
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The input data required to evaluate the CSM-
... ABSTRACT: The cropping system model, namely, the crop environment resource synthesis-rice (CSM-CERES-Rice) model, is a decision supporting tool for the design of crop management. This study aimed to determine management ...
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Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
... and error magnitude, and can differ in the behavior of terrain ...the root mean square error (RMSE), identification of the number and size of spurious depressions, and the application ...
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Series distance – an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events
... the Root Mean Square Error (RMSE) or the Mean Absolute Peak Time Error (MAPTE) and the advantages of visual inspection as a pow- erful tool for simultaneous, case-specific and ...
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Determination of Biodiesel Adulteration with Raw Vegetable Oil from ATR-FTIR Data using Chemometric Tools
... the root mean square error of calibration for cross validation (RMSECV) of the model, correlation coefficient (R), latent variable (LV) and root mean square error ...
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Climatic changes in the Urals over the past millennium – an analysis of geothermal and meteorological data
... standard error of the mean for any time cross-section, which is 7 times (root square of 49 – number of reconstruction) less than the standard deviation of ...standard error of ...
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Terapia de constrição e indução ao movimento modificada na abordagem terapêutica de uma criança hemiparética crônica pós-acidente vascular encefálico isquêmico infantil: um relato de caso.
... RESUMO | O acidente vascular encefálico (AVE) é resultado de desorientação da atividade encefálica, de origem vascular, com mais de 24 horas de duração. A terapia de constrição com indução ao movimento (TCIM) destaca-se ...
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Gabriel Romero Liguori1 , MD; Luiz Felipe Pinho Moreira1
... the mean or median, but could also be spread far from ...the square root of the variance of a given ...the mean - not the ...the mean, you will have 68% of the sample; if you take ...
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ADAPTIVE ALGORITHMS FOR ACOUSTIC ECHO CANCELLATION IN SPEECH PROCESSING
... This error signal is fed back into the adaptive filter and its coefficients are changed algorithmically in order to minimize a function of this difference, known as the cost ...the error signal goes to ...
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Speech Enhancement Using Minimum Mean-Square Error Amplitude Estimators Under Normal and Generalized Gamma Distribution
... The mean LLR value was obtained by averaging the individual frame LLR values across the sentence. The highest 5% of the LLR measures values were discarded, as suggested in (Hansen and Pellom, 1998), to exclude ...
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Forecasting bitcoin prices: ARIMA vs LSTM
... 17 al., (2015) found a significant impact of global macro-financial development captured by the Down Jones index, exchange rate and oil price, only in the short- run, by using the gold standard model by Barro (1979). In ...
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Evaluation of the MACC operational forecast system – potential and challenges of global near-real-time modelling with respect to reactive gases in the troposphere
... Considering the global monthly MNMBs and RMSEs, it can be seen that during the northern hemispheric summer months, June to September, both are small (absolute differ- ences less than 5 %); see Figs. 10 and 11. Negative ...
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Deecciissiioonn S Suuppppoorrtt in E Enneerrggyy E Effffiicciieennccyy on B Buuiillddiinnggss
... called the seed, and it will always produced the same sequence as long as initialized with the same seed. So, to achieve a random number generator, the key is to use different seeds. In the /')01"$ 732: , although ...
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