Is a 69% accuracy for logistic regression too low?

Hi. I am on the excercise of sequential forward selection with the use of logistic regression. Before running the SFS step, I checked for the accuracy of my model after fitting the logistic regression to my data. It shows 69%. Is it too bad? Can I continue with such accuracy? Any advice?

code

# Create and fit the logistic regression model
lr = LogisticRegression()
lr.fit(X, y)

# Print the accuracy of the model
print(lr.score(X,y)) # 0.69

Thanks in advance.

Can you supply the link to the lesson?

Also, does this help?:

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