I need to create a function get_polynom that will take a list of tuples (x1, y1), (x2, y2), …, (xn, yn) representing points and find the coefficients of the polynomial c0, c1, …, cn. I can’t manage to understand the task, the only tip I have is the provided part of the function: Have somebody done something similar? Just a
Tag: coefficients
Interpreting logistic regression feature coefficient values in sklearn
I have fit a logistic regression model to my data. Imagine, I have four features: 1) which condition the participant received, 2) whether the participant had any prior knowledge/background about the phenomenon tested (binary response in post-experimental questionnaire), 3) time spent on the experimental task, and 4) participant age. I am trying to predict whether participants ultimately chose option A