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29 lines
1.6 KiB
Plaintext
29 lines
1.6 KiB
Plaintext
\babel@toc {english}{}
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\contentsline {figure}{\numberline {6.1}{\ignorespaces Example of Bayes Risk}}{34}%
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\contentsline {figure}{\numberline {7.1}{\ignorespaces Example}}{36}%
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\contentsline {figure}{\numberline {7.2}{\ignorespaces Example}}{37}%
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\contentsline {figure}{\numberline {7.3}{\ignorespaces Example}}{37}%
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\contentsline {figure}{\numberline {7.4}{\ignorespaces Example}}{38}%
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\contentsline {figure}{\numberline {7.5}{\ignorespaces Example}}{38}%
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\contentsline {figure}{\numberline {7.6}{\ignorespaces Draw of how $\hat {h}$, $h^*$ and $f^*$ are represented}}{39}%
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\contentsline {figure}{\numberline {8.1}{\ignorespaces Representation of $\hat {h}$, $h^*$ and $f^*$ }}{42}%
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\contentsline {figure}{\numberline {8.2}{\ignorespaces Example}}{43}%
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\contentsline {figure}{\numberline {8.3}{\ignorespaces Splitting test and training set}}{45}%
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\contentsline {figure}{\numberline {8.4}{\ignorespaces K-folds}}{46}%
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\contentsline {figure}{\numberline {8.5}{\ignorespaces Nested Cross Validation}}{47}%
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\contentsline {figure}{\numberline {9.1}{\ignorespaces Tree building}}{48}%
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\contentsline {figure}{\numberline {9.2}{\ignorespaces Tree with at most N node}}{49}%
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\contentsline {figure}{\numberline {9.3}{\ignorespaces Algorithm for tree predictors}}{52}%
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\contentsline {figure}{\numberline {10.1}{\ignorespaces Point (2) - where \hskip 1em\relax $y = cx +q$ \hskip 2em\relax $y = -cx +q $}}{56}%
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\contentsline {figure}{\numberline {10.2}{\ignorespaces Point}}{57}%
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