[FIXED] Error while traning logistic regression model with sklearn in python

Issue

I just started learning sklearn.
I had trained a LogisticRegression model using sklearn.

from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
x_train , x_test , y_train , y_test = train_test_split(new_df_dummies , df.left ,   
test_size=0.2,train_size=0.8)
model = LogisticRegression

but when I try to train the model using :

model.fit(x_train , y_train)

It gives error :

fit() missing 1 required positional argument: 'y'

Solution

You should write

model = LogisticRegression() 

instead of LogisticRegression (i.e. add parentheses).

Answered By - Noorulain Islam