import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
import pickle
 
data = pd.read_csv (r"C:\Users\Noura\Desktop\WebSite\base-mat.csv")
x = np.array(data.iloc[:, 0:6])
y = np.array(data.iloc[:, 7:])
Y = np.ravel(y)

x_train, x_test, y_train, y_test = train_test_split(x, Y, test_size = 0.2)

sv = SVC(kernel='linear').fit(x_train, y_train)
classe = sv.predict(x_test)
print (classe)


pickle.dump(sv,open('iwqi.pkl','wb'))
model =pickle.load(open('iwqi.pkl','rb'))