Figure 2 shows a graph of the proportion of correctly classified test patterns against values of k ranging from 1 to 100, for k-nearest neighbour classifiers used to reproduce the Grosswetterlagen catalogue on the basis of the first 26 principal components of the daily surface level pressure field. In each case a leave-one-out cross-validation strategy was employed to estimate the true generalisation error of the classifier. The optimal value for k was found to be 1, at which point 61.45% of the test patterns were classified correctly.
![]() |
Table 1 shows a confusion matrix for the optimal 1-nearest neighbour classifier, again using a leave-one-out cross validation approach to estimate the true generalisation performance.
| Model Classification | |||||||||||||||||||||||||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
| Wa | 372 | 72 | 1 | 4 | 8 | 5 | 13 | 8 | 31 | 47 | 0 | 0 | 3 | 2 | 4 | 5 | 7 | 2 | 3 | 2 | 0 | 0 | 0 | 2 | 0 | 4 | 0 | 2 | 7 | 2 | |
| Wz | 77 | 1075 | 20 | 11 | 28 | 27 | 11 | 38 | 24 | 65 | 3 | 1 | 15 | 3 | 10 | 2 | 31 | 1 | 3 | 3 | 1 | 0 | 1 | 1 | 4 | 1 | 3 | 9 | 46 | 10 | |
| Ws | 0 | 19 | 206 | 2 | 2 | 4 | 1 | 4 | 0 | 3 | 1 | 4 | 2 | 1 | 1 | 1 | 4 | 0 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 6 | 2 | |
| Ww | 5 | 13 | 2 | 133 | 5 | 3 | 1 | 2 | 4 | 8 | 0 | 1 | 2 | 0 | 0 | 0 | 2 | 1 | 1 | 5 | 3 | 0 | 0 | 1 | 3 | 3 | 0 | 1 | 8 | 1 | |
| SWa | 8 | 19 | 1 | 7 | 159 | 11 | 2 | 1 | 10 | 26 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 8 | 2 | 2 | 7 | 9 | |
| SWz | 3 | 31 | 9 | 4 | 12 | 212 | 1 | 1 | 6 | 9 | 1 | 0 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 2 | 2 | 0 | 2 | 3 | 0 | 2 | 1 | 6 | 4 | 8 | |
| NWa | 19 | 12 | 1 | 0 | 3 | 2 | 134 | 5 | 6 | 11 | 1 | 2 | 3 | 1 | 3 | 9 | 2 | 2 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| NWz | 17 | 47 | 3 | 3 | 2 | 0 | 10 | 227 | 8 | 11 | 2 | 2 | 17 | 2 | 5 | 9 | 15 | 1 | 1 | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 11 | 10 | |
| HM | 32 | 20 | 1 | 3 | 13 | 8 | 9 | 5 | 279 | 66 | 0 | 1 | 1 | 4 | 2 | 15 | 4 | 1 | 1 | 15 | 2 | 2 | 2 | 7 | 1 | 10 | 4 | 2 | 8 | 5 | |
| BM | 42 | 56 | 3 | 7 | 15 | 9 | 18 | 16 | 56 | 634 | 8 | 5 | 9 | 3 | 1 | 18 | 16 | 5 | 9 | 10 | 7 | 5 | 4 | 13 | 4 | 9 | 3 | 2 | 20 | 8 | |
| TM | 2 | 8 | 2 | 1 | 0 | 0 | 1 | 4 | 0 | 9 | 144 | 0 | 5 | 1 | 4 | 2 | 14 | 3 | 1 | 1 | 3 | 1 | 4 | 4 | 3 | 0 | 0 | 6 | 11 | 3 | |
| Na | 0 | 2 | 4 | 1 | 0 | 0 | 1 | 2 | 1 | 4 | 1 | 33 | 1 | 2 | 2 | 0 | 1 | 3 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | |
| Nz | 4 | 13 | 2 | 1 | 1 | 1 | 5 | 12 | 5 | 10 | 4 | 1 | 158 | 4 | 2 | 13 | 3 | 2 | 5 | 1 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 3 | 2 | 3 | |
| HNa | 1 | 1 | 3 | 0 | 1 | 2 | 2 | 0 | 2 | 3 | 2 | 1 | 6 | 108 | 2 | 6 | 1 | 1 | 1 | 3 | 1 | 5 | 2 | 2 | 0 | 0 | 1 | 1 | 1 | 3 | |
|
|
HNz | 3 | 6 | 2 | 0 | 1 | 0 | 3 | 2 | 5 | 4 | 3 | 1 | 1 | 3 | 110 | 2 | 3 | 3 | 1 | 2 | 2 | 3 | 5 | 2 | 0 | 0 | 0 | 2 | 2 | 5 |
| HB | 5 | 2 | 0 | 0 | 0 | 3 | 12 | 5 | 14 | 28 | 4 | 3 | 8 | 9 | 7 | 186 | 6 | 6 | 3 | 7 | 2 | 5 | 1 | 2 | 0 | 1 | 0 | 1 | 2 | 5 | |
| TrM | 8 | 30 | 1 | 4 | 2 | 0 | 1 | 14 | 2 | 16 | 14 | 1 | 9 | 1 | 5 | 7 | 215 | 1 | 13 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 1 | 7 | 28 | 7 | |
| NEa | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 7 | 3 | 1 | 0 | 0 | 0 | 5 | 1 | 88 | 4 | 4 | 5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | |
| NEz | 2 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 1 | 15 | 1 | 2 | 3 | 0 | 2 | 5 | 4 | 6 | 90 | 5 | 2 | 2 | 0 | 2 | 3 | 0 | 0 | 0 | 1 | 2 | |
| HFa | 3 | 4 | 3 | 3 | 0 | 2 | 0 | 1 | 6 | 16 | 2 | 1 | 1 | 3 | 0 | 5 | 2 | 14 | 3 | 197 | 9 | 5 | 6 | 9 | 6 | 2 | 2 | 1 | 1 | 2 | |
| HFz | 0 | 6 | 2 | 3 | 0 | 2 | 0 | 0 | 2 | 7 | 8 | 2 | 0 | 0 | 2 | 1 | 1 | 4 | 1 | 13 | 106 | 0 | 5 | 5 | 10 | 1 | 1 | 1 | 5 | 0 | |
| HNFa | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 2 | 2 | 0 | 1 | 2 | 3 | 3 | 0 | 4 | 4 | 6 | 1 | 84 | 6 | 1 | 0 | 0 | 0 | 0 | 4 | 1 | |
| HNFz | 0 | 0 | 2 | 1 | 1 | 1 | 2 | 0 | 2 | 3 | 5 | 1 | 3 | 1 | 2 | 1 | 0 | 5 | 2 | 6 | 2 | 5 | 94 | 1 | 2 | 1 | 0 | 3 | 5 | 1 | |
| SEa | 2 | 1 | 0 | 1 | 0 | 1 | 2 | 0 | 9 | 6 | 1 | 0 | 0 | 2 | 3 | 2 | 2 | 0 | 0 | 7 | 3 | 0 | 1 | 113 | 5 | 10 | 2 | 3 | 10 | 4 | |
| SEz | 0 | 2 | 3 | 5 | 0 | 3 | 0 | 1 | 1 | 5 | 3 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 2 | 5 | 7 | 0 | 1 | 4 | 70 | 3 | 0 | 2 | 5 | 1 | |
| Sa | 3 | 1 | 0 | 2 | 9 | 2 | 0 | 0 | 9 | 11 | 1 | 0 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 1 | 1 | 3 | 0 | 8 | 3 | 96 | 2 | 3 | 2 | 3 | |
| Sz | 1 | 3 | 2 | 0 | 5 | 0 | 2 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 6 | 41 | 1 | 1 | 1 | |
| TB | 1 | 9 | 2 | 3 | 3 | 4 | 0 | 0 | 1 | 4 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 0 | 0 | 1 | 2 | 1 | 1 | 2 | 0 | 1 | 1 | 167 | 10 | 6 | |
| TrW | 7 | 30 | 7 | 6 | 10 | 9 | 2 | 9 | 6 | 20 | 12 | 1 | 4 | 0 | 3 | 1 | 23 | 1 | 3 | 2 | 3 | 4 | 5 | 7 | 2 | 4 | 0 | 12 | 287 | 7 | |
| U | 7 | 13 | 3 | 2 | 5 | 11 | 3 | 7 | 8 | 16 | 3 | 0 | 4 | 4 | 5 | 5 | 11 | 2 | 3 | 3 | 2 | 0 | 1 | 2 | 0 | 4 | 1 | 5 | 7 | 18 | |