SVM_On_My_CSV.py

# -*- coding: utf-8 -*-
"""
Spyder Editor

This is a temporary script file.
"""

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib.pyplot as plt
get_ipython().magic('matplotlib inline')
#import os
mydataset=pd.read_csv('student_data.csv')
 
#mydataset.head()
#sns.pairplot(data=mydataset, hue='species')
from sklearn.model_selection import train_test_split
x=mydataset.iloc[:,0:19]

y=mydataset.iloc[:,20]
print("y head is : \n")
print(y.head())
x_train,x_test, y_train, y_test=train_test_split(x,y,test_size=0.30)
from sklearn.svm import SVC
model=SVC()
model.fit(x_train, y_train)
pred=model.predict(x_test)
from sklearn.metrics import classification_report, confusion_matrix
print(confusion_matrix(y_test,pred))
print(classification_report(y_test, pred))