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sql-derivative-sensitivity-analyser_demo [2018/11/27 17:01]
alisa [Running sensitivity analysis]
sql-derivative-sensitivity-analyser_demo [2019/01/09 14:41] (current)
alisa [Running sensitivity analysis]
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 We can now play around with the model and see how the error can be reduced. We can now play around with the model and see how the error can be reduced.
-  * Try to reduce β, e.g. try = 0.1. This does not affect security in any way, but may give smaller noise level.+  * Try to reduce β, e.g. try β = 0.01. This does not affect security in any way, but may give smaller noise level.
   * Try to reset scalings of //Table norm// to ''​1.0'',​ or even try larger values. The error descreases, as we now consider smaller changes in the input (which means that we lose in security).   * Try to reset scalings of //Table norm// to ''​1.0'',​ or even try larger values. The error descreases, as we now consider smaller changes in the input (which means that we lose in security).
   * Try out different row sensitivity. Instead of ''​rows:​ all ;'',​ try some particular row, ''​rows:​ 0 ;''​ or ''​rows:​ 1 ;''​. It can be seen that ships with higher speed have larger sensitivity and hence add more noise, since changing their locations even a little may affect the arrival time more significantly.   * Try out different row sensitivity. Instead of ''​rows:​ all ;'',​ try some particular row, ''​rows:​ 0 ;''​ or ''​rows:​ 1 ;''​. It can be seen that ships with higher speed have larger sensitivity and hence add more noise, since changing their locations even a little may affect the arrival time more significantly.
sql-derivative-sensitivity-analyser_demo.txt · Last modified: 2019/01/09 14:41 by alisa