Contains a JavaWrapper that takes a file with unknown instances and classifies them using a randomforest weka model
Program can be used as followed:
java -jar JavaWrapper -f [filename or path]
or with the -h or --HELP commands to get a help menu
Repository comes with a default file that can be called with the command -f testdata/UnknownData.arff, own datafiles can be used but most be .arff or .csv files with the following attributes and class:
@attribute Uniformity_of_Cell_Size numeric @attribute Uniformity_of_Cell_Shape numeric @attribute Marginal_Adhesion numeric @attribute Single_Epithelial_Cell_Size numeric @attribute Bare_Nuclei numeric @attribute Normal_Nucleoli numeric @attribute Class {Benign,Malignant}
has the following dependencies: commons-cli:commons-cli:1.4 nz.ac.waikato.cms.weka', name: 'weka-stable', version: '3.8.5