Update on project 1
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@@ -16,7 +16,7 @@ to fit polynomials to a specific two-dimensional function called
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function":"http://www.dtic.mil/dtic/tr/fulltext/u2/a081688.pdf". This
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is a function which has been widely used when testing various interpolation and fitting
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algorithms. Furthermore, after having etsablished the model and the
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method, we will employ resamling techniques such as the cross-validation and
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method, we will employ resamling techniques such as the cross-validation and/or
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the bootstrap methods, in order to perform a proper assessment of our models.
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@@ -120,8 +120,8 @@ where we have defined the mean value of $\hat{y}$ as
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\]
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!et
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Perform a resampling of the data where you split the data in training data and test data. Implement the $k$-fold cross-validation algorithm and the bootstrap algorithm
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and evaluate again the MSE and the $R^2$ functions resulting from the test data.
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Perform a resampling of the data where you split the data in training data and test data. Implement the $k$-fold cross-validation algorithm and/or the bootstrap algorithm
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and evaluate again the MSE and the $R^2$ functions resulting from the test data. Evaluate also the bias and variance of the final models using for example equation (7.9) in the textbook of Hastie *et al.*
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