exercise:27313b016d: Difference between revisions
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Replicate the results of [[guide:6588b14666#SEP-FIG-2|Figure]]. More precisely, run the code from [[guide:6588b14666#PROBL-6-2 |Problem]] for different dimensions <math>d</math> and different distance functions <math>\Delta=\Delta(d)</math>, e.g., <math>\Delta\equiv c > 0</math>, <math>\Delta=2\sqrt{d}</math>, <math>\Delta=d^{0.3}</math> or <math>\Delta=d^{1/4}</math>. Plot the rate of correctly classified data points as a function of the dimension. Simulate also the case <math>\Delta=2d^{0.2}</math> and confirm that this leads to a low correct classification rate which decreases for large dimensions. | |||
<span id{{=}}"SEP-FIG-4"/> | |||
Replicate the results of [[#SEP-FIG-2|Figure]]. More precisely, run the code from [[#PROBL-6-2 |Problem]] for different dimensions <math>d</math> and different distance functions <math>\Delta=\Delta(d)</math>, e.g., <math>\Delta\equiv c > 0</math>, <math>\Delta=2\sqrt{d}</math>, <math>\Delta=d^{0.3}</math> or <math>\Delta=d^{1/4}</math>. Plot the rate of correctly classified data points as a function of the dimension. Simulate also the case <math>\Delta=2d^{0.2}</math> and confirm that this leads to a low correct classification rate which decreases for large dimensions. | <div class{{=}}"d-flex justify-content-center"> | ||
[[File:tikzebf95.png | 600px | thumb | Average rate of correctly classified data points for <math>\Delta=2d^{0.2}</math>.]] | |||
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Latest revision as of 02:24, 2 June 2024
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Replicate the results of Figure. More precisely, run the code from Problem for different dimensions [math]d[/math] and different distance functions [math]\Delta=\Delta(d)[/math], e.g., [math]\Delta\equiv c \gt 0[/math], [math]\Delta=2\sqrt{d}[/math], [math]\Delta=d^{0.3}[/math] or [math]\Delta=d^{1/4}[/math]. Plot the rate of correctly classified data points as a function of the dimension. Simulate also the case [math]\Delta=2d^{0.2}[/math] and confirm that this leads to a low correct classification rate which decreases for large dimensions.
