y_train)
>
> and
>
>> predicted = log_reg_fit.predict(df_test.values)
>
> and so forth.
>
>
>
>
>
>> On Aug 15, 2016, at 6:00 PM, Chris Cameron wrote:
>>
>> Sebastian,
>>
>> That doesn’t do it. With the function:
>>
a specific, contant integer value? Note that
> the default in LogisticRegression is random_state=None. Setting it to some
> arbitrary number like 123 may help if you haven’t done so, yet.
>
> Best,
> Sebastian
>
>
>
>> On Aug 15, 2016, at
Hi all,
Using the same X and y values sklearn.linear_model.LogisticRegression.fit() is
providing me with inconsistent results.
The documentation for sklearn.linear_model.LogisticRegression states that "It
is thus not uncommon, to have slightly different results for the same input
data.” I am e
