numFeaturesTrueP= getTotalCountFeature(type4, trueTable) numFeaturesDecP= getTotalCountFeature(type4, decTable) numFeaturesPosP= getTotalCountFeature(type4, posTable) numFeaturesNegP= getTotalCountFeature(type4, negTable) numFeaturesTrueGivenPP= getTotalCountFeature(type4, truePosTable) numFeaturesDecGivenPP= getTotalCountFeature(type4, decPosTable) numFeaturesTrueGivenNP= getTotalCountFeature(type4, trueNegTable) numFeaturesDecGivenNP= getTotalCountFeature(type4, decNegTable) for te in test: posOrNegC= SVM.getTrueOrDeceptive(type1, numFeaturesPosC, numFeaturesNegC, te[type1], posTable, negTable) posOrNegU= SVM.getTrueOrDeceptive(type2, numFeaturesPosU, numFeaturesNegU, te[type2], posTable, negTable) posOrNegB= SVM.getTrueOrDeceptive(type3, numFeaturesPosB, numFeaturesNegB, te[type3], posTable, negTable) posOrNegP= SVM.getTrueOrDeceptive(type4, numFeaturesPosP, numFeaturesNegP, te[type4], posTable, negTable) trueOrDecC=0 trueOrDecU=0 trueOrDecB=0 trueOrDecP=0 if posOrNegC == 1: trueOrDecC= SVM.getTrueOrDeceptive(type1, numFeaturesTrueGivenPC, numFeaturesDecGivenPC, te[type1],truePosTable, decPosTable) else: trueOrDecC= SVM.getTrueOrDeceptive(type1, numFeaturesTrueGivenNC, numFeaturesDecGivenNC, te[type1],trueNegTable, decNegTable) if posOrNegU == 1:
