def evaluateBayes(filename,classlabel,num=800):
trueLabel=0
falseLabel=0
count=0
fileList=os.listdir(filename)
if len(fileList)>0:
for item in fileList:
if count<num:
str=filename+item
tmp=BayesClassify.classify2(str)
count+=1
print 'count',count
if tmp==classlabel:
trueLabel+=1
else:
falseLabel+=1
else:
break
return trueLabel,falseLabel
