root mean squared error (RMSE)
An Empirical Study on Mushroom Disease Diagnosis:A Data Mining Approach
... of error rate ...of error rates namely Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Relative Absolute Error (RAE), Root Relative ...
6
Hyperspectral Nonlinear Unmixing: Endmember Extracting Using Iterative Simplex CNN Method
... Abstract— Hyperspectral remote sensing images are showing rapid improvements in many domain such as weather, land cover classification, underwater species identification, exploring the space etc. Over the past decades ...
6
“MODELING AND FORECASTING OF THE STOCK MARKET VOLATILITY OF S&P CNX NIFTY 50 INDEX OF INDIA USING GARCH FAMILY MODELS”
... the Root Mean Squared Error (RMSE), the Mean Absolute Error (MAE), the Mean Absolute Percent Error (MAPE) and the Theil Inequality Coefficient (TIC) on S&P CNX ...
13
ANN Based Modeling for Prediction of Evaporation in Reservoirs (RESEARCH NOTE)
... and root mean squared error (RMSE) by using cross-validation to generate the model on different combinations of the input data set in predicting the evaporation ...
8
Blind Direction of Angle and Time Delay Estimation Algorithm for Uniform Linear Array Employing Multi-Invariance MUSIC
... cumulant method requires the signal statistical properties, and it needs larger snapshots to get good performance. Also it has heavier computation load. ESPRIT is a closed-form eigen structure-based parameter estimation ...
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Soil Thermal Diffusivity of a Gleyic Solonetz Soil Estimated by Different Methods in the Brazilian Pantanal
... Using the soil thermal diffusivity estimated by ampli- tude method as reference was computed mean absolute error-MAE and the root mean squared error-RMSE be- tween phase methods, ...
8
Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier
... Logarithmic Error), RM- SLE (Root Mean Squared Logarithmic Error), MAE (Mean Abso- lute Error) and RMSE (Root Mean Squared ...different error ...
5
Two-stage estimation to adjust for treatment switching in randomised trials: A simulation study investigating the use of inverse probability weighting instead of re-censoring
... the mean estimated RMST and the true RMST and expressing this as a percentage of true RMST ...The root mean squared error (RMSE) of the percentage bias was calculated to provide ...
20
The Relation between Storm Risk and Wind and Wave Forecast Accuracy in the North Atlantic Ocean
... Abstract—Oceanic storms are the main reason for shipping delays in the North Atlantic Ocean, due to the uncertainty in the forecast of tropical cyclones and extra tropical winter storms. This work investigates the ...
8
Bayesian forecasting of mortality rates by using latent Gaussian models
... the mean width of the prediction intervals and the mean interval ...the mean forecasts was assessed by using the root-mean-squared error of the predicted ...The ...
23
Small area estimation for spatially correlated populations a comparison of direct and indirect model based methods
... relative root mean squared error of EBLUP is smaller than that of ...relative root mean squared error of SEBLUP is marginally smaller than that of ...
26
Improved Felicm based Underwater Color Image Segmentation by using L0 Gradient Minimization and DBPTGMF
... Figure 4 has shown the quantized analysis of the Root mean squared Error of different underwater images using existing method and the proposed method.. It is very clear from the plot tha[r] ...
6
Transferring urban traveling speed model fits across cities
... y − ˆ y(p | q) s (or y − ˆ y (p | q) s mxsp s ) with s = 1 (bias) and s = 2 (root mean squared error), respectively. Again, the reported numbers are means and standard deviations over M = 50 ...
12
A Multi Layer Perceptron Classifier for Content based Recommender System
... The Root mean squared error, Mean absolute error, Relative absolute error and Root relative squared errors were identified for correct ...
5
A New Method for Least-Squares and Minimax Group-Delay Error Design of Allpass Variable Fractional-Delay Digital Filters
... the root-mean-squared group-delay error in LS and minimax senses for the design of allpass VFD digital ...group-delay error in the outer ...
10
Assessing the forecasting power of the leading composite index in Macedonia
... the root mean squared forecasting error is the smallest at a width of the growth rate of one quarter and a time distribution of the explanatory power of the index of two ...
9
Estimating a Bounded Normal Mean Relative to Squared Error Loss Function
... takes values in the interval [ m , m ], where is the unique root of eq. (2). This property can be seen from Theorem 2. It is worth mentioning that the risk of X is the constant 1 / n but the risk ...
10
Stock market efficiency in the S&P 500 with respect to day of the week
... In order to determine whether market inefficiency still exists in the S&P 500, I chose to compare forecasted returns using a GARCH model to actual returns. I then separated the returns by trading day of the week and ...
11
Eelgrass Distribution in the Great Bay Estuary and Piscataqua River for 2017
... *Root Mean Square Error (RMSE). A measure of the difference between locations that are known and locations that have been interpolated or digitized. RMSE is derived by squaring the differences ...
38
A study of artificial speech quality assessors of VoIP calls subject to limited bursty packet losses
... Basically, rather than the packet loss pattern itself, theoretical and representative models that capture the relevant features of packet loss processes are used for the estimation of the perceived quality for efficiency ...
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