multi_resultset_full ( 0, comparison_col ))Īnd a setup for performing regression experiments on random splits on the datasets: header ( comparison_col )) > print ( tester. resultmatrix = matrix > comparison_col = data. load_file ( outfile ) > matrix = ResultMatrix ( classname = "" ) > tester = Tester ( classname = "" ) > tester. loader_for_file ( outfile ) > data = loader. run () > # evaluate previous run > loader = converters. from weka.experiments import SimpleCrossValidationExperiment, SimpleRandomSplitExperiment, Tester, ResultMatrix > from weka.classifiers import Classifier > import as converters > # configure experiment > datasets = > classifiers = > outfile = "results-cv.arff" # store results for later analysis > exp = SimpleCrossValidationExperiment ( > classification = True, > runs = 10, > folds = 10, > datasets = datasets, > classifiers = classifiers, > result = outfile ) > exp.
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