Getting score -387%

#1

I am getting score of -387 % even after standardization of data.
Here is my code. May be there is some error in my code.

Air pollution prediction

os.chdir(“C://Users//Santosh//Downloads/Train_air/”)

data_set=pd.read_csv(“Train.csv”)

data_set

X=np.array(data_set.loc[:,[True,True,True,True,True,False]])

X.shape

y=np.array(data_set.loc[:,[False,False,False,False,False,True]])

model=LinearRegression()

errors=model.fit(X,y)

print(errors)

yh=model.predict(X)

yh[:10]

y[:10]

model.score(X,y)

X_test=pd.read_csv(“C:\Users\Santosh\Downloads\test\test.csv”)

X_test

y_test=model.predict(X_test)

import os
os.chdir(“C:\Users\Santosh\Downloads\Test\”)

submission=pd.read_csv(“Sample_Submission.csv”)

submission[“target”]=y_test

submission

#2

Hello @iamiso_code,

Kindly share your entire code through Online IDE

Thanks

#3

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