| Issue | #Downvotes for this reason | By |
|---|
| W | weka.RandomTree(14) | Full name of base classifier. (default: weka.classifiers.lazy.IBk) |
| -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). | |
| D | The distribution to use for calculating the random matrix. Sparse1 is: sqrt(3)*{-1 with prob(1/6), 0 with prob(2/3), +1 with prob(1/6)} Sparse2 is: {-1 with prob(1/2), +1 with prob(1/2)} | |
| E | Minimise mean squared error rather than mean absolute error when using -X option with numeric prediction. | |
| F | Full class name of filter to use, followed by filter options. eg: "weka.filters.unsupervised.attribute.Remove -V -R 1,2" | default: weka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1 |
| I | Weight neighbours by the inverse of their distance (use when k > 1) | |
| K | Number of nearest neighbours (k) used in classification. (Default = 1) | |
| M | Replace missing values using the ReplaceMissingValues filter | |
| N | The number of dimensions (attributes) the data should be reduced to (default 10; exclusive of the class attribute, if it is set). | |
| P | The percentage of dimensions (attributes) the data should be reduced to (exclusive of the class attribute, if it is set). The -N option is ignored if this option is present and is greater than zero. | |
| R | The random seed for the random number generator used for calculating the random matrix (default 42). | |
| S | Random number seed. (default 1) | default: 1 |
| W | Full name of base classifier. (default: weka.classifiers.lazy.IBk) | default: weka.classifiers.trees.RandomTree |
| 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 |
Severity: Core Warning
Message: Module 'mysqli' already loaded
Filename: Unknown
Line Number: 0
Backtrace: