python from mvpa2.suite import * dataset = fmri_dataset('bold.nii.gz', targets=labels) fselector = FixedNElementTailSelector(100, tail='upper') nf = NFeaturewiseMeasure(sensitivity_analyzer, fselector) preproc = PreprocessingPipeline([NFoldPartitioner(cvtype=1), Detrender(chunkwise=True), Detrender(), ZScore()]) preproc_dataset = preproc(dataset) clf = LinearCSVMC() cv = CrossValidation(clf, NFoldPartitioner(cvtype=1), errorfx=mean_match_accuracy) result = cv(preproc_dataset) print(result)