In the provided image from the sigmoid function lab. What does it exactly imply when one says " Note, the orange line is βπ§β or βπ°β π±(π)+πβ above. It does not match the line in a linear regression model."
Why are the two different and how exactly does βzβ differ from the plot of a linear regression model?
Hello @ayx.sh,
We are comparing the following two lines:
C1_W3_Lab01_Classification_Soln: the thick blue line
C1_W3_Lab02_Sigmoid_function_Soln: the orange line
Both lines fit to the same set of data, but the first one assumes a linear regression model whereas the second one assumes a logistic regression model.
What can you tell about the difference in the two lines? (Which one attempts to be a boundary line and which one attempts to fit through itself to the data points?)
Cheers,
Raymond
as per the images: the blue line attempts to fit and the orange line attempts to define a boundary.
Yes! Thatβs the difference by sigmoid!
Happy learning!
