projects:models:qpc_and_naivebayes:sonar [Marek Grochowski]

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====== QPC+NB on Sonar data ======

==== Sonar ====

   1x10 CV
   normalization
   QPC parameters
      lr = 0.1
      optimization = gradient descent 
		

^  NaiveBayes	 ^^
|   acc.    |  std.  |
|  **70.64**  |  13.80  |

^ Dim.  ^  QPC + NB    ^^   QPC2  + NB  ^^
|       |    acc.        |  std.   |    acc.     |   std.  |
| 1	|  **74.02**	 | 14.25   |  **73.02**	 | 10.55   | 
| 2	|  **74.52**	 | 13.29   |  **74.97**	 | 10.29   | 
| 3	|  **76.02**	 | 13.93   |  **76.95**	 | 12.21   | 
| 4	|  **77.90**	 | 12.51   |  **78.85**	 | 10.32   | 
| 5	|  **77.42**	 | 12.65   |  **79.83**	 | 10.18   | 
| 6	|  **76.47**	 | 12.72   |  **77.90**	 | 11.68   | 
| 7	|  **76.95**	 | 12.79   |  **77.45**	 | 11.81   | 
| 8	|  **76.95**	 | 11.77   |  **78.88**	 | 10.75   | 
| 9	|  **78.38**	 | 11.91   |  **78.40**	 | 11.21   | 
| 10	|  **79.33**	 | 12.30   |  **78.90**	 | 11.40   | 

Dim. - number of linear ptojections generated by QPC \\
QPC2 - fast QPC method based on subset of reference prototypes\\
NB - Naive Bayes with normal distribution assumption\\

{{:projects:models:qpc_and_naivebayes:sonar_1-100.png|}}