4.0 | 2 ratings Rate this file 143 downloads (last 30 days) File Size: 3.07 KB File ID: #7968

Goodness of Fit

by Durga Lal Shrestha

03 Jul 2005 (Updated 05 Jul 2005)

No BSD License

Computes goodness of fit (model performance) for regression.

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Description

Computes goodness of fit for regression model given vector of target and output values.

USAGE:
   [gf] = gfit(t,y)
   [gf] = gfit(t,y,gFitMeasure)

INPUT
t: vector of target values for regression model

y: vector of output from regression model.

gFitMeasure: string value representing different form of goodness of fit measure (for eg. '1' - mean squarred error, '5' - mean absolute error)

OUTPUT:
gf: goodness of fit values between model output and target

Acknowledgements

This submission has inspired the following:
Goodness of Fit (Modified)

MATLAB release

MATLAB 7.0.1 (R14SP1)

Tags for This File
Everyone's Tags	fit, goodness, mathematics, model performance
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Comments and Ratings (3)
10 Dec 2007	al azhar	just what i need
11 Sep 2008	Felix Hebeler	Script does not check for NaNs, and matrices have to be reshaped. If you need a simple script to calculate RMSE, that considers NaNs and operates on matrices, please check http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=21383&objectType=FILE
26 Sep 2008	Clement Atzberger	Function file performs very well. Good work! Unfortunately, only vectors can be input. Also I miss the possibility to calculate several statistics at the same function call. Please check your expression 'squarred' (sic!) misspelled throughout the file. This is correctly spelled as 'squared' ... with one 'r' ;-)

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Tag Activity for this File
Tag	Applied By	Date/Time
goodness	Durga Lal Shrestha	22 Oct 2008 07:52:11
fit	Durga Lal Shrestha	22 Oct 2008 07:52:11
model performance	Durga Lal Shrestha	22 Oct 2008 07:52:11
mathematics	Durga Lal Shrestha	22 Oct 2008 07:52:11

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