/*
Program to implement the SVM For Spam Mail Detection..
Developed by: Yamunaasri T S
RegisterNumber:  212222240117

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

*/