/*
Program to implement the SVM For Spam Mail Detection..
Developed by: GANESH R
RegisterNumber:  212222240029
*/

import chardet
file = '/content/spam.csv'
with open(file,'rb') as rawdata:
  result = chardet.detect(rawdata.read(100000))
result

import pandas as pd 
data = pd.read_csv("/content/spam.csv",encoding='Windows-1252')

data.head()

data.info()

data.isnull().sum()

x=data["v1"].values

y=data["v2"].values

from sklearn.model_selection import train_test_split
x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2,random_state=0)

from sklearn.feature_extraction.text import CountVectorizer
cv = CountVectorizer()

x_train = cv.fit_transform(x_train)
x_test = cv.transform(x_test)

from sklearn.svm import SVC
svc = SVC()
svc.fit(x_train,y_train)

y_pred = svc.predict(x_test)
y_pred

from sklearn import metrics
accuracy = metrics.accuracy_score(y_test,y_pred)
accuracy