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