Sampling..
#### Fold 1 ####

PCA for subregion 1
PCA for subregion 2
PCA for subregion 3
PCA for subregion 4
PCA for subregion 5
PCA for subregion 6
PCA for subregion 7
PCA for subregion 8
PCA for subregion 9
PCA for subregion 10
PCA for subregion 11
PCA for subregion 12
PCA for subregion 13
PCA for subregion 14
PCA for subregion 15
PCA for subregion 16
Training classifiers for each region
Region 1, done in 1.033 seconds
Region 2, done in 0.489 seconds
Region 3, done in 0.352 seconds
Region 4, done in 0.435 seconds
Region 5, done in 0.448 seconds
Region 6, done in 0.694 seconds
Region 7, done in 0.505 seconds
Region 8, done in 0.364 seconds
Region 9, done in 0.365 seconds
Region 10, done in 0.407 seconds
Region 11, done in 0.373 seconds
Region 12, done in 0.354 seconds
Region 13, done in 0.425 seconds
Region 14, done in 0.418 seconds
Region 15, done in 0.378 seconds
Region 16, done in 0.370 seconds
782 by 40 dataset with 5 classes: [86  216  214  186   80]
************
**** KNN ****
***** voting
33.827 % accuracy	MAE: 10.541
***** wvotec
12.085 % accuracy	MAE: 23.503
***** product
35.604 % accuracy	MAE: 10.243
***** mean
35.486 % accuracy	MAE: 10.227
***** max
30.569 % accuracy	MAE: 11.519
***** median
33.116 % accuracy	MAE: 10.399
************
**** NMC ****
***** voting
32.464 % accuracy	MAE: 10.533
***** wvotec
31.813 % accuracy	MAE: 10.485
***** product
32.938 % accuracy	MAE: 11.741
***** mean
32.168 % accuracy	MAE: 11.613
***** max
31.991 % accuracy	MAE: 11.669
***** median
28.377 % accuracy	MAE: 11.464
Best results:

    accname: 'KNN product'
        acc: 35.6043
    maename: 'KNN mean'
        mae: 10.2269
        cfm: [5x5 double]

     8   149    20     7     0
    43   312   124    27     0
     2    99   212    51     0
    20    87   138    67     2
     3    83   137    97     0

#### Fold 2 ####

PCA for subregion 1
PCA for subregion 2
PCA for subregion 3
PCA for subregion 4
PCA for subregion 5
PCA for subregion 6
PCA for subregion 7
PCA for subregion 8
PCA for subregion 9
PCA for subregion 10
PCA for subregion 11
PCA for subregion 12
PCA for subregion 13
PCA for subregion 14
PCA for subregion 15
PCA for subregion 16
Training classifiers for each region
Region 1, done in 0.730 seconds
Region 2, done in 0.532 seconds
Region 3, done in 0.337 seconds
Region 4, done in 0.350 seconds
Region 5, done in 0.375 seconds
Region 6, done in 0.368 seconds
Region 7, done in 0.373 seconds
Region 8, done in 0.349 seconds
Region 9, done in 0.407 seconds
Region 10, done in 0.411 seconds
Region 11, done in 0.349 seconds
Region 12, done in 0.361 seconds
Region 13, done in 0.398 seconds
Region 14, done in 0.357 seconds
Region 15, done in 0.385 seconds
Region 16, done in 0.379 seconds
778 by 40 dataset with 5 classes: [112  272   40  152  202]
************
**** KNN ****
***** voting
25.118 % accuracy	MAE: 13.172
***** wvotec
16.962 % accuracy	MAE: 15.948
***** product
26.478 % accuracy	MAE: 13.257
***** mean
26.418 % accuracy	MAE: 13.257
***** max
19.208 % accuracy	MAE: 15.080
***** median
25.946 % accuracy	MAE: 13.199
************
**** NMC ****
***** voting
24.527 % accuracy	MAE: 13.102
***** wvotec
25.059 % accuracy	MAE: 13.190
***** product
27.069 % accuracy	MAE: 13.764
***** mean
21.158 % accuracy	MAE: 16.125
***** max
20.922 % accuracy	MAE: 16.322
***** median
27.423 % accuracy	MAE: 14.239
Best results:

    accname: 'NMC median'
        acc: 27.4232
    maename: 'NMC voting'
        mae: 13.1017
        cfm: [5x5 double]

    72    69     0     9     8
   190   204     2    29    25
    84   178    40   140    96
    52    85    32    65   114
    38    42     3    81    34

#### Fold 3 ####

PCA for subregion 1
PCA for subregion 2
PCA for subregion 3
PCA for subregion 4
PCA for subregion 5
PCA for subregion 6
PCA for subregion 7
PCA for subregion 8
PCA for subregion 9
PCA for subregion 10
PCA for subregion 11
PCA for subregion 12
PCA for subregion 13
PCA for subregion 14
PCA for subregion 15
PCA for subregion 16
Training classifiers for each region
Region 1, done in 0.352 seconds
Region 2, done in 0.381 seconds
Region 3, done in 0.358 seconds
Region 4, done in 0.380 seconds
Region 5, done in 0.528 seconds
Region 6, done in 0.368 seconds
Region 7, done in 0.373 seconds
Region 8, done in 0.354 seconds
Region 9, done in 0.382 seconds
Region 10, done in 0.351 seconds
Region 11, done in 0.352 seconds
Region 12, done in 0.370 seconds
Region 13, done in 0.404 seconds
Region 14, done in 0.382 seconds
Region 15, done in 0.346 seconds
Region 16, done in 0.369 seconds
800 by 40 dataset with 5 classes: [40  234  284  162   80]
************
**** KNN ****
***** voting
27.665 % accuracy	MAE: 12.513
***** wvotec
11.557 % accuracy	MAE: 21.475
***** product
28.802 % accuracy	MAE: 12.222
***** mean
28.862 % accuracy	MAE: 12.205
***** max
28.862 % accuracy	MAE: 12.450
***** median
28.263 % accuracy	MAE: 12.208
************
**** NMC ****
***** voting
32.575 % accuracy	MAE: 11.696
***** wvotec
31.497 % accuracy	MAE: 11.576
***** product
34.132 % accuracy	MAE: 11.810
***** mean
32.036 % accuracy	MAE: 12.693
***** max
31.377 % accuracy	MAE: 12.777
***** median
27.904 % accuracy	MAE: 12.843
Best results:

    accname: 'NMC product'
        acc: 34.1317
    maename: 'NMC wvotec'
        mae: 11.5757
        cfm: [5x5 double]

    12   190     7    17     4
    10   265   121    83     9
     2    73   111    97    11
     3   100    88   114    33
    12    51    89   144    24

Total MAE: 11.635
Total accuracy: 32.386
Total confusion matrix:
    92   408    27    33    12
   243   781   247   139    34
    88   350   363   288   107
    75   272   258   246   149
    53   176   229   322    58