2516
2
weka.MIWrapper
1
Weka_3.7.13_9142
E. T. Frank, X. Xu (2003). Applying propositional learning algorithms to multi-instance data. Department of Computer Science, University of Waikato, Hamilton, NZ.
2016-01-16T01:33:31
English
Weka_3.7.13
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
A
option
3
The type of weight setting for each single-instance:
0.keep the weight to be the same as the original value;
1.weight = 1.0
2.weight = 1.0/Total number of single-instance in the
corresponding bag
3. weight = Total number of single-instance / (Total
number of bags * Total number of single-instance
in the corresponding bag).
(default: 3)
P
option
2
The method used in testing:
1.arithmetic average
2.geometric average
3.max probability of positive bag.
(default: 1)
W
option
weka.classifiers.rules.ZeroR
Full name of base classifier.
(default: weka.classifiers.rules.ZeroR)
num-decimal-places
option
The number of decimal places for the output of numbers in the model (default 2).
output-debug-info
flag
If set, classifier is run in debug mode and
may output additional info to the console
weka
weka_3.7.13