root/MachineLearningWithMATLAB/Regression_FuelEconomy/featureTest.m @ 10
| 10 | anderm8 | function criterion = featureTest(Xtrain, Ytrain, Xtest, Ytest)
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% Template and fit
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t = templateTree('MinLeaf',1);
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tbfit = fitensemble(Xtrain,Ytrain,'Bag',40,t,'type','regression');
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yfitTBLS = predict(tbfit,Xtest);
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resid = yfitTBLS - Ytest;
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% Square residuals
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resid_sqrd = resid.*resid;
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% Take the sum of the squared residuals
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criterion = sum(resid_sqrd);
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end
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