Evaluate dataset with logistic regression

[michalmonday]

Is it going to be possible to observe the seemingly way off results using this sample? Or would bigger sample be required?

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Btw isn't it making predictions on the same dataset that was used for training?

x = data_df[['x_value','y_value']]
y = data_df[['binary_result']]
 
log_reg = linear_model.LogisticRegression(solver='lbfgs').fit(x,np.ravel(y))
 
predictions = log_reg.predict(x)

That's what it looks like...

So that would be the reason if by any chance the results seem too accurate.