SblipDev shaurya-blip

## predict.py
# Coefficients
print('Coefficients: \n', regressor.coef_)
# The mean squared error
print("Mean squared error: %.2f" % np.mean((regressor.predict(X_test) - y_test) ** 2))
# Explained variance score: 1 is perfect prediction
print('Variance score: %.2f' % regressor.score(X_test, y_test))

## keybase.md

      
        
          
            
              
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                shaurya-blip
                / keybase.md
            
            
              Created
              January 10, 2022 16:05
            
          
        
      
        
  
      
    Keybase proof

I hereby claim:

I am shaurya-blip on github.
I am sblipdev (https://keybase.io/sblipdev) on keybase.
I have a public key ASChL-n6owvUHN6DHVTnBiyfkQDOkUStcFKnNUZ51tWm2Ao

To claim this, I am signing this object:
	# Coefficients
	print('Coefficients: \n', regressor.coef_)
	# The mean squared error
	print("Mean squared error: %.2f" % np.mean((regressor.predict(X_test) - y_test) ** 2))
	# Explained variance score: 1 is perfect prediction
	print('Variance score: %.2f' % regressor.score(X_test, y_test))