Classification in Python without Machine Learning

HI All,
See the code...

The input is trainingdata.csv  with the following content

high-temparature headache cough,fever
chest-pain high-pressure breathing-issue,heartattack
very-high-esr faint high-beta-count,cancer

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import csv
list1=[]
class1=[]
stopwords="i am you we an in on where is are what which here"
slist=stopwords.split()
csvinput=open("trainingdata.csv","r")
reader=csv.reader(csvinput,delimiter=",")
for sym,label in reader:
  list1.append(sym)
  class1.append(label)
print(list1)
print(class1)
in1=input("Enter your symptoms")
inlist=in1.split()
newlist=list(set(inlist)-set(slist))
print(newlist)
j=0
for i in list1:
  #print(i)
  templist=i.split()
  commonlist=list(set(templist)&set(newlist))
  l1=len(commonlist)
  percentage=l1/len(templist)*100
  #print(templist)
  print(class1[j],percentage)
  j=j+1