the choice of the right features can have an immense impact on the performance of the machine learning algorithm
feature engineering is the process of choosing or constructing the right features for your algorithm
using knowledge or intuition to design new features, by combining or transforming original features
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q
Explain feature engineering on an example
A
house price prediction
given are frontage and depth of the lot of the house -> these are features x1 and x2
coming from experience you might assume the area is the important feature -> then you can say x3 = x1*x2 -> f_w,b(x) = w1x1 + w2x2 + w3x3 + b -> this allows the algorithm to choose weights and determine itself which feature is important in this prediction