mean absolute error performance
DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING RISKS OF IT SERVICE PROJECTS
... The multi-layer perceptron and Ibk classifiers have shown high classification rate on all three existing methods and the proposed method. However out of these two, Ibk exhibited a little high performance than ...
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AQUA Satellite Data and Imputation of Geopotential Height: A Case Study for Pakistan
... of performance parameters which include Root Mean Square Error [RMSE], Mean Absolute Error [MAE], Correlation Coeffi- cient [Corr] and Coefficient of Determination [R 2 ...
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Forecasting Spare Parts Demand Using Statistical Analysis
... least error value were ...following performance measures: the mean error (ME), the mean squared error (MSE) and mean absolute deviation ...root mean squared ...
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... C. Mean Absolute Error: The measure of the Mean Absolute Error of the education dataset for Naive Bayes classifier techniques is shown below with graph according to the Table ...
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“MODELING AND FORECASTING OF THE STOCK MARKET VOLATILITY OF S&P CNX NIFTY 50 INDEX OF INDIA USING GARCH FAMILY MODELS”
... forecasting performance of the prevalent models: the Root Mean Squared Error (RMSE), the Mean Absolute Error (MAE), the Mean Absolute Percent Error (MAPE) ...
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IMAGE SEGMENTATION USING FUZZY CLUSTERING ALGORITHM
... the performance of the algorithm, we used an experimental database which consists of 30 satellite images and 20 SAR images in jpg ...time, mean absolute error and peak signal to noise ...
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High Density Impulse Noise Removal in Color Images Using Region of Interest Median Controlled Adaptive Recursive Weighted Median Filter
... The performance of the proposed algorithm is given in terms of Mean Square Error (MSE), Mean Absolute Error (MAE) and Peak Signal to Noise Ratio (PSNR) and it is compared with ...
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Missing Data Imputations for Upper Air Temperature at 24 Standard Pressure Levels over Pakistan Collected from Aqua Satellite
... root mean square error (RMSE) for each interpolation ...other performance indicators like mean absolute error (AME), correlation coeffi- cient (Corrl), the coefficient of ...
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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD
... like Mean Square Error, Mean Absolute Error, Sum Square Error and Root Mean Square Error are used to access the ...
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Classification of Polymorphic Virus Based on Integrated Features
... The performance metric of accuracy value, receiver operating characteristic and mean absolute error are compared between two algorithms in the experiment of static, dynamic and integrated ...
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Robustness of Bootstrap Estimators to Influential Observations
... bootstrap mean and standard deviation. This study examined the performance of three bootstrap estimators namely: Case Bootstrapping, Fixed-X Bootstrapping and Residual Resampling method under different ...
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Generalized maximum entropy (GME) estimator: formulation and a monte carlo study
... good performance of GME in terms of absolute bias and root mean square in small sample sizes, the root mean square error (SRMSE) can also be much more reduced by incorporating out of ...
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Mushroom Classification Using ANN and ANFIS Algorithm
... the performance of classifier. The performance of different classification algorithm such as ANN, ANFIS , and Bayes Net classifier were compared on the basis of Mean absolute error, ...
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A comparison of various imputation methods for missing values in air quality data
... of mean and median substitution were also included for ...the performance of the imputation methods, the correlation coefficient (R), the index agreement (d) and the mean absolute error ...
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FIVE MINUTE ELECTRICITY DEMAND FORECASTING NEURAL NETWORK MODEL DOCUMENTATION
... The performance of the models, according to the various measures mentioned previously, is summarised in the table in Appendix ...are Mean-Squared (Percentage) Error (MSE); Mean-Absolute ...
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ARIMA: An Applied Time Series Forecasting Model for the Bovespa Stock Index
... Due to the relative uncertainty involved with the variables which affect financial market behavior, forecasting future variations in a time series of the Brazilian stock market Index (Ibovespa) can be considered a ...
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An Approach to Identify a Model for Efficient Prediction of Exchange Rates Using Setty Volatile Index (SVI)
... various performance measures like normalized root mean square error, mean absolute percentage error, average mean absolute percentage error over US-RUPEE ...
6
Implementation of Inventory Management System in a Furniture Company: A Real Case study
... the performance of forecasting methods across different time series by mean squared error (MSE), root mean square error (RMSE), mean absolute deviation (MAD), mean ...
18
Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier
... (Mean Absolute Logarithmic Error), RM- SLE (Root Mean Squared Logarithmic Error), MAE (Mean Abso- lute Error) and RMSE (Root Mean Squared ...different error ...
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The Implementation of Forecasting Method by Incorporating Human Judgment
... forecasting error method that is used in this research is Mean Absolute Error (MAE), Mean Square Error (MSE), and Standard Deviation error ...forecasting error ...
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