Q:

Interpreting multinomial logistic regression in scikit-learn

I am running a multinomial logistic regression for a classification problem involving
a binary outcome. I am using the following code:
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.feature_selection import SelectKBest
from sklearn.model_selection import train_test_split
from sk