===== EMD on MMSE probe 2 =====

==== Raven 2 class ====

  * Dane: emd_mmse2_c2.csv
  * Features: stats (avg, std, sk, kr, min, max) + stats on emd components distr (avg, std, sk, kr)
  * Classes: raven scaled < 11.3 (dist: class 0 (21 vect 51.2%, 22 vect 48.8% )

=== Classification ===

  * data preparation: standarization
  * 10x5CV stratiffied

^ Model ^ acc ^ std ^
| SVN gauss c=1, bias=0.1 | 61.6% | 14.4 |
| kNN k=1, euclid    | 57.0% | 14.4 |



=== QPC visualizations ===

{{projects:psycho:150216:emd_mmse2_c2_qpc_scatter.png?600|}}


  w =
  
  Columns 1 through 7
  
   -0.1973    0.2776   -0.0025    0.0552   -0.1026   -0.1199   -0.3357
   -0.1870    0.3552   -0.1334    0.0696   -0.5460   -0.0277   -0.4003
  
  Columns 8 through 10
  
   -0.1334    0.4272   -0.7369
   -0.1687   -0.5491    0.1647

{{projects:psycho:150216:emd_mmse2_c2_qpc_w1_bar.png?600|}}

{{projects:psycho:150216:emd_mmse2_c2_qpc_w2_bar.png?600|}}


{{projects:psycho:150216:emd_mmse2_c2_qpc_scatter_rvn.png?600|}}
{{projects:psycho:150216:emd_mmse2_c2_qpc_scatter_rvn_zoom.png?600|}}


===== After transformation in 2D space =====

  * GM 10x5CV kNN euclid k=3 acc 78.9 % / 11.6


===== QPC on 5 best features =====

  * sele cted features 2 (std), 5 (min) , 7 (sStd), 9 (sSK), 10 (sKr)

  w3 =

    0.0507   -0.4182   -0.4727    0.3955   -0.6653
    0.2500   -0.5526   -0.3876   -0.6441    0.2589
    

{{projects:psycho:150216:emd_mmse2_c2_5best_qpc_scatter_rvn.png?600}}

{{projects:psycho:150216:emd_mmse2_c2_5best_qpc_scatter_rvn_zoom.png?600}}

===== 1D projection on 4 features =====

  * features: 5 (min), 7 (sAvg), 9 (sSk), 10 (sKr)
  * projection

  w = [ 0.70  0.34  -1.09  3.24 ]
  y = data(:,[5 7 9 10]) * w'

  * rule ''y > 8.13 then 1 else 0'' -> 72.1%
  * rule ''y > 8.13 AND y < 8.48 then 1 else 0'' -> 83.7%


{{projects:psycho:emd_mmse1:emd_mmse2_c2_bhraph_rule.png?400 }}