Figure 3 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 18 principal components of the 700hPa geopotential height 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 67.88% of the test patterns were classified correctly.
![]() |
Table 2 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 | 403 | 69 | 0 | 7 | 8 | 5 | 13 | 12 | 21 | 27 | 0 | 0 | 4 | 1 | 3 | 1 | 6 | 2 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 5 | 0 | 0 | 8 | 6 | |
| Wz | 68 | 1169 | 16 | 11 | 16 | 33 | 10 | 33 | 17 | 40 | 4 | 3 | 14 | 2 | 1 | 4 | 29 | 1 | 2 | 1 | 2 | 0 | 1 | 2 | 1 | 0 | 4 | 5 | 25 | 10 | |
| Ws | 0 | 20 | 201 | 3 | 0 | 4 | 2 | 4 | 0 | 8 | 2 | 1 | 2 | 1 | 1 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 2 | 0 | 5 | 5 | |
| Ww | 9 | 10 | 3 | 134 | 2 | 3 | 0 | 2 | 4 | 9 | 1 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 4 | 4 | 1 | 0 | 3 | 1 | 3 | 1 | 3 | 5 | 2 | |
| SWa | 4 | 14 | 1 | 4 | 183 | 9 | 2 | 2 | 8 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 2 | 8 | 7 | |
| SWz | 4 | 34 | 6 | 4 | 5 | 231 | 1 | 2 | 5 | 6 | 1 | 0 | 0 | 1 | 0 | 2 | 3 | 0 | 0 | 1 | 1 | 0 | 3 | 1 | 1 | 3 | 0 | 4 | 3 | 6 | |
| NWa | 11 | 13 | 0 | 0 | 3 | 1 | 149 | 3 | 8 | 12 | 1 | 1 | 5 | 2 | 1 | 5 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | |
| NWz | 11 | 36 | 7 | 2 | 2 | 1 | 6 | 262 | 5 | 15 | 2 | 5 | 12 | 2 | 2 | 6 | 12 | 1 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 7 | 9 | |
| HM | 28 | 15 | 1 | 4 | 6 | 8 | 10 | 3 | 332 | 46 | 1 | 2 | 3 | 1 | 4 | 17 | 4 | 2 | 2 | 8 | 1 | 2 | 2 | 3 | 1 | 4 | 2 | 1 | 5 | 5 | |
| BM | 25 | 45 | 8 | 7 | 17 | 7 | 17 | 19 | 54 | 651 | 5 | 5 | 13 | 1 | 3 | 17 | 17 | 6 | 3 | 16 | 5 | 6 | 3 | 12 | 3 | 15 | 0 | 0 | 19 | 16 | |
| TM | 0 | 5 | 3 | 1 | 0 | 0 | 2 | 4 | 0 | 10 | 164 | 1 | 5 | 0 | 3 | 0 | 5 | 3 | 1 | 3 | 3 | 0 | 3 | 1 | 2 | 1 | 0 | 8 | 6 | 3 | |
| Na | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 2 | 49 | 1 | 0 | 0 | 1 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Nz | 0 | 16 | 3 | 1 | 1 | 0 | 2 | 6 | 2 | 9 | 1 | 0 | 183 | 3 | 3 | 5 | 7 | 2 | 3 | 1 | 1 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 4 | 2 | |
| HNa | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 4 | 0 | 0 | 4 | 130 | 2 | 2 | 0 | 1 | 0 | 4 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | |
|
|
HNz | 2 | 3 | 3 | 0 | 0 | 0 | 1 | 2 | 3 | 2 | 4 | 0 | 2 | 3 | 122 | 2 | 3 | 1 | 1 | 2 | 2 | 5 | 1 | 2 | 0 | 1 | 0 | 1 | 3 | 5 |
| HB | 4 | 3 | 1 | 0 | 0 | 1 | 7 | 6 | 10 | 19 | 2 | 0 | 6 | 4 | 2 | 230 | 6 | 4 | 3 | 5 | 2 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 4 | |
| TrM | 5 | 42 | 0 | 5 | 0 | 0 | 1 | 15 | 4 | 12 | 11 | 0 | 5 | 0 | 5 | 6 | 244 | 1 | 6 | 2 | 2 | 0 | 0 | 2 | 0 | 0 | 1 | 4 | 15 | 6 | |
| NEa | 2 | 1 | 0 | 2 | 1 | 0 | 1 | 3 | 1 | 5 | 1 | 3 | 1 | 2 | 0 | 6 | 2 | 88 | 3 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | |
| NEz | 2 | 2 | 2 | 0 | 1 | 0 | 3 | 1 | 4 | 4 | 1 | 0 | 3 | 1 | 0 | 5 | 4 | 9 | 100 | 1 | 2 | 2 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 2 | |
| HFa | 2 | 2 | 1 | 1 | 0 | 0 | 1 | 3 | 6 | 10 | 2 | 0 | 2 | 5 | 0 | 6 | 3 | 7 | 2 | 216 | 7 | 3 | 7 | 3 | 9 | 2 | 1 | 3 | 2 | 3 | |
| HFz | 0 | 3 | 0 | 3 | 1 | 2 | 0 | 0 | 3 | 5 | 7 | 1 | 1 | 0 | 0 | 2 | 1 | 1 | 2 | 8 | 125 | 3 | 1 | 5 | 6 | 1 | 0 | 3 | 3 | 1 | |
| HNFa | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 1 | 0 | 0 | 2 | 2 | 4 | 0 | 2 | 3 | 6 | 0 | 94 | 6 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | |
| HNFz | 2 | 0 | 2 | 2 | 0 | 3 | 0 | 0 | 1 | 3 | 5 | 1 | 3 | 3 | 2 | 2 | 0 | 0 | 1 | 2 | 1 | 3 | 101 | 3 | 6 | 1 | 0 | 1 | 4 | 0 | |
| SEa | 1 | 3 | 0 | 4 | 1 | 2 | 1 | 1 | 10 | 7 | 2 | 0 | 0 | 3 | 0 | 0 | 2 | 0 | 2 | 6 | 5 | 2 | 1 | 123 | 2 | 3 | 1 | 2 | 3 | 3 | |
| SEz | 0 | 0 | 2 | 4 | 0 | 3 | 0 | 0 | 0 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 1 | 1 | 4 | 90 | 3 | 0 | 0 | 4 | 0 | |
| Sa | 4 | 2 | 0 | 2 | 4 | 2 | 0 | 1 | 8 | 14 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 5 | 6 | 107 | 0 | 0 | 2 | 3 | |
| Sz | 0 | 2 | 2 | 2 | 3 | 1 | 0 | 0 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 1 | 49 | 0 | 1 | 0 | |
| TB | 2 | 7 | 2 | 1 | 0 | 5 | 0 | 0 | 1 | 5 | 4 | 0 | 1 | 1 | 1 | 0 | 3 | 0 | 1 | 2 | 3 | 0 | 2 | 4 | 0 | 1 | 0 | 169 | 8 | 4 | |
| TrW | 7 | 18 | 7 | 5 | 4 | 6 | 3 | 6 | 7 | 14 | 8 | 1 | 4 | 0 | 3 | 2 | 18 | 3 | 3 | 0 | 3 | 2 | 3 | 3 | 1 | 5 | 0 | 8 | 333 | 10 | |
| U | 10 | 10 | 7 | 1 | 5 | 7 | 2 | 12 | 14 | 15 | 4 | 0 | 3 | 4 | 4 | 8 | 11 | 0 | 2 | 0 | 2 | 1 | 1 | 5 | 0 | 2 | 0 | 2 | 8 | 15 | |