ASLLearner.py 文件源码

def testSVM(clf, dataSet):
    labels, instances = dataSet.getLabelsAndInstances()
    predictionsLoL = map(clf.predict, instances)

    numWrong = 0
    numPred = 0
    for i in range(len(labels)):
        l = labels[i]
        predList = predictionsLoL[i]
        wrongList = it.ifilter(lambda x: x!=l, predList)

        numWrong += len(wrongList)
        numPred += len(predList)

    print "Wrong: ", numWrong
    print "Predicted: ", numPred
    print "Percent: ", float(numWrong)/numPred