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A Practical Guide to Machine Learning with Python

LR Implementation Steps: 8 and 9

This lesson will finish going over the implementation steps (9-10) of linear regression.

We'll cover the following...

8) Predict

Let’s now run the model to find the value of an individual property by creating a new variable (new_house) using the following input features:

C++
#8. Predict 
new_house = [
	2, #Rooms
	2.5, #Distance
	1, #Bathroom
	1, #Car
]
new_house_predict = model.predict([new_house])
print(new_house_predict)

The predicted value of this house is AUD $981,746.347. The actual value of this house, according to the dataset, is AUD $1,480,000.

9) Evaluate

Using mean absolute error from Scikit-learn, ...