-do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built
(use with caution). | |
-doNotMakeSplitPointActualValue | Do not make split point actual value. | |
A | Laplace smoothing for predicted probabilities. | |
B | Use binary splits only. | |
C | Set confidence threshold for pruning.
(default 0.25) | |
F | Full class name of filter to use, followed
by filter options.
eg: "weka.filters.unsupervised.attribute.PrincipalComponents-R 1.0" | default: weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1 |
G | Minimum size of a group of attributes:
if numberOfGroups is true, the minimum number
of groups.
(default: 3) | default: 3 |
H | Maximum size of a group of attributes:
if numberOfGroups is true, the maximum number
of groups.
(default: 3) | default: 3 |
I | Number of iterations.
(current value 10) | default: 10 |
J | Do not use MDL correction for info gain on numeric attributes. | |
L | Do not clean up after the tree has been built. | |
M | Set minimum number of instances per leaf.
(default 2) | |
N | Whether minGroup (-G) and maxGroup (-H) refer to
the number of groups or their size.
(default: false) | |
O | Do not collapse tree. | |
P | Percentage of instances to be removed.
(default: 50) | default: 50 |
Q | Seed for random data shuffling (default 1). | |
R | Use reduced error pruning. | |
S | Random number seed.
(default 1) | default: 1 |
U | Use unpruned tree. | |
W | Full name of base classifier.
(default: weka.classifiers.trees.J48) | default: weka.classifiers.meta.CostSensitiveClassifier |
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). | |
num-slots | Number of execution slots.
(default 1 - i.e. no parallelism)
(use 0 to auto-detect number of cores) | default: 1 |
output-debug-info | If set, classifier is run in debug mode and
may output additional info to the console | |