mean absolute error results
“MODELING AND FORECASTING OF THE STOCK MARKET VOLATILITY OF S&P CNX NIFTY 50 INDEX OF INDIA USING GARCH FAMILY MODELS”
... Root Mean Squared Error (RMSE), the Mean Absolute Error (MAE), the Mean Absolute Percent Error (MAPE) and the Theil Inequality Coefficient ...The results of ...
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Prediction and Verification of Resistance Spot Welding Results of Ultra High Strength Steels through FE Simulations
... simulation results to physical experiments for materials used in automotive production, with yield strengths from approximately 280 MPa to more than 1500 ...weld results were assessed using de- structive ...
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Forecasting Spare Parts Demand Using Statistical Analysis
... tools; Mean squared error (MSE), mean absolute deviation (MAD) and mean error (ME), where the results showed close performance for all the methods associated with their ...
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Development of ANN and AFIS Models for Age Prediction of In-Service Transformer Oil samples
... the results of simulation were obtained in terms of predicted age, error, %error and mean absolute percentage error ...The results have been presented both, in tabular ...
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DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING RISKS OF IT SERVICE PROJECTS
... significant results in various image and video processing ...rate, mean absolute error and root mean square error on Brodtaz textures using various machine learning ...The ...
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Optimum design of chamfer masks using symmetric mean absolute percentage error
... masks. Results show that the function gen- erates more accurate local weights—which give lower errors even when tested under MAE and MSE criteria— compared with those proposed from previous ...maximum error ...
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An Approach to Identify a Model for Efficient Prediction of Exchange Rates Using Setty Volatile Index (SVI)
... Experimental results are compared on basis of various parameters including Normalized Root Mean Square Error (NRMSE), Mean Absolute Percentage Error (AMAPE), Volatility and ...
6
A Comparative Study in Predicting Colon Rectum Cancer using Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) Models
... the Mean Absolute Error (MAE), Mean Square Error (MSE), Mean Absolute Percentage Error (MAPE) and Root Mean Square Error(RMSE) are obtained to ...
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... the results of testing the algorithms we can say that every techniques perform best result according to their parameters means if we take accuracy than decision tree is best but if we use mean ...
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Long-term load forecasting based on adaptive neural fuzzy inference system using real energy data
... forecasting results and the results are compared to mathematical methods to show validity and error ...show error levels, mean absolute error and mean ...
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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 ...the results, it is clear that hybrid ...
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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 ...Analysis results ...
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<p>Retrospective analysis of an intraoperative aberrometry database: a study investigating absolute prediction in eyes implanted with low cylinder power toric intraocular lenses</p>
... lower mean absolute value of the prediction error than the other methods (all ...these results may be limited by the lack of consistency in type of lens implanted, and the comparatively small ...
8
Functional Duration Models for Highway Construction Projects in Nigeria
... % Error of -3.64%, Maximum error of 16.2% and Mean Absolute Percent Error (MAPE) of ...These results compare favourably with past studies which have shown that traditional ...
8
IMAGE SEGMENTATION USING FUZZY CLUSTERING ALGORITHM
... This section explains the result obtained after performing FCM and KWFCM on the satellite images. For comparing the performance of the algorithm, we used an experimental database which consists of 30 satellite images and ...
13
Implementation of Inventory Management System in a Furniture Company: A Real Case study
... Since mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE) are usually applied for estimating the forecast performance ...
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Robustness of Bootstrap Estimators to Influential Observations
... bootstrap mean and standard ...the mean, standard error, absolute bias, mean square error and the root mean square ...The results showed that the Residual ...
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Volume 3, Issue 3, March 2014 Page 365
... experimental results, we observed that when we vary one of the healthcare specific important predictor variable (in this case this is either “Above 65” or “Exercise”) the forecast accuracy becomes maximum that is ...
5
Comparison of five different models in predicting the shear stress distribution in straight compound channels
... reliable results as they produced higher Mean Absolute Percentage of Error (MAPE) values of ...best results for shear stress distribution in compound channels with average MAPE of ...
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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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