import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
data=pd.read_csv('sum.csv')
X=data[['X','Y']]
Y=data['SUM']
X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=.2)
# print(X_train)
# print(Y_train)
model=LinearRegression()
model.fit(X_train,Y_train)
y_pred=model.predict(X_test)
# print(y_pred)
df=pd.DataFrame({'actual':Y_test,'predict':y_pred})
print(df)
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