Font size
WorksheetsLinear Regression
Total questions: 15
Worksheet time: 13mins
The model "learns" weights of features during training.
True
False
In our house price model, which of these is a feature?
Price
Size
Predicted price
Error
During training, do we know the real price of the houses?
Yes
No
On the graph, the vertical line between the predicted and actual value shows:
The feature
The weight
The slope
The error
What does w stand for?
weight
feature
prediction
price
What is y hat?
Weight
Prediction
Feature
Error
What are the features in this model?
Is this a good prediction or a bad prediction?
Good
Bad
机器学习
(a)
线性回归
(a)
Is this a good prediction or bad prediction?
Bad
Good
In our model (a) is the real price (b) is the predicted price.
数据
(a)
监督学习
(a)
What are we trying to learn during training?
The weights "w"
the features "x"
the prediction "y hat"
The price "y"
