To write a program to implement the SVM For Spam Mail Detection.
- Hardware – PCs 2.Anaconda – Python 3.7 Installation / Jupyter notebook
1.Import the necessary python packages using import statements.
2.Read the given csv file using read_csv() method and print the number of contents to be displayed using df.head().
3.Split the dataset using train_test_split.
4.Calculate Y_Pred and accuracy.
5.Print all the outputs.
6.End the Program.
Program to implement the SVM For Spam Mail Detection..
Developed by: Dhivyapriya. R
RegisterNumber: 212222230032
import chardet
file='spam.csv'
with open (file,'rb') as rawdata:
result = chardet.detect(rawdata.read(100000))
result
import pandas as pd
data=pd.read_csv("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
Thus the program to implement the SVM For Spam Mail Detection is written and verified using python programming.