root/MachineLearningWithMATLAB/Regression_FuelEconomy/plotFit.m @ 10
| 10 | anderm8 | function plotFit(y,varargin)
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% Plot fit
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% Copyright 2015 The MathWorks, Inc.
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figure
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legendName = cell(length(varargin),1);
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hold on
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for ii = 1:length(varargin)
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yfit = varargin{ii};
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plot(yfit, (y- yfit)./yfit,'o')
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rs = R2(y,yfit);
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legendName{ii,1} = sprintf('%s (R^2=%0.3f)', inputname(ii+1), rs);
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end
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ylim([-1.5 1.5])
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legend(legendName)
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hold off
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legend(legendName)
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refline(0,0)
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xlabel('Estimated Fuel Economy (MPG)')
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ylabel('Error/Estimated Fuel Economy')
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figure;
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hold all
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axis square
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linesymbols = {'+','o','*','x'};
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for ii = 1:length(varargin)
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counter = 1 + mod((ii-1),4);
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yfit = varargin{ii};
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plot(y, yfit,linesymbols{counter})
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end
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hold off
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line([0 max(y)] ,[0 max(y)],'Color','k')
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xlabel('Actual Fuel Economy (MPG)')
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ylabel('Estimated Fuel Economy (MPG)')
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legend(legendName)
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