![]() ![]() delete instances from one file and retain those instances in the other). To manually partition your arff file, simply copy your original arff file and and keep non-intersecting sets of CSV rows (i.e. Manually partition your arff file into a train file and test file and use the supplied test-set option in the Weka explorer.Load entire dataset into Weka explorer and use the built-in train/test split option with a user-specified percentage to randomly partition your dataset.Load entire dataset into Weka explorer and use the built-in k-fold cross validation option which randomly partitions your dataset and automatically performs CV for your given a classifier.Delimiter specifying the start of the CSV dataĪfter creating your arff file, you have a few options when using the Weka explorer:.DATE: `name` date where the default date-format is "yyyy-MM-dd'T'HH:mm:ss".STRING: a string where quotes must be used if spaces are included.NOMINAL: discrete value from a predefined list (see example class feature). ![]() each attribute defines a feature of one of the following types:.dataset name (use quotes around the name if there are spaces).Lines beginning with "%" are comments and are not read by the WEKA data readers.Fisher, Donor: Michael Marshall petallength petalwidth class above example can be broken down into sections: A modified example arff file content from the previous link: % 1. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |