| Issue | #Downvotes for this reason | By |
|---|
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| A | The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch). | default: true |
| E | Minimise mean squared error rather than mean absolute error when using -X option with numeric prediction. | |
| F | Weight neighbours by 1 - their distance (use when k > 1) | |
| I | Weight neighbours by the inverse of their distance (use when k > 1) | |
| K | Number of nearest neighbours (k) used in classification. (Default = 1) | default: 1 |
| W | Maximum number of training instances maintained. Training instances are dropped FIFO. (Default = no window) | default: 0 |
| X | Select the number of nearest neighbours between 1 and the k value specified using hold-one-out evaluation on the training data (use when k > 1) | |
| batch-size | The desired batch size for batch prediction (default 100). | |
| num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | |
| output-debug-info | If set, classifier is run in debug mode and may output additional info to the console |