what is the solution of question 3 and 7?
Logistic regression quiz
Hey @debjanihome, plz upload the screenshots of the question, the order of questions are random for different user.
- Suppose for a classification problem your data has m examples and n features. The number of weights your model will learn will be
n, m, n+1, m+1
Hey @debjanihome, for third question, in logistic regression, the equation of hyperplane is given by, theta1 * x1 + theta2 * x2 + theta3 * x3 + bias.
Now by weights we are actually referring to the number of parameters, so if there are n features than number of weights will be n+1. where 1 if for bias term.
In next question the question ask us to selent the wrong statement, and “hypothesis -2 is insensitive to outliers”, is wrong, actually it is sensitive to outliers and that is the reason is more shifter towards right.
Hope this resolved your doubt. 