C:\Users\schubert\AppData\Roaming\Python\Python36\site-packages\sklearn\base.py:251: UserWarning: Trying to unpickle estimator LabelEncoder from version 0.19.1 when using version 0.20.2. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
C:\Users\schubert\AppData\Roaming\Python\Python36\site-packages\sklearn\base.py:251: UserWarning: Trying to unpickle estimator SGDClassifier from version 0.19.1 when using version 0.20.2. This might lead to breaking code or invalid results. Use at your own risk.
mini = most_pred[200]['org']['author']['retiree']['min_array']
print(neg)
print([(el[0], arr[el[0]], mini[el[0]]) for el in neg])
arr
```
%% Cell type:code id: tags:
``` python
df_dic[200]['org']['df'].columns
sub = df_dic[200]['org']['df'].loc[df_dic[200]['org']['df']['org'+'_'+str(200)+'_SVM_author_pred'] != df_dic[200]['org']['df']['org'+'_'+str(200)+'_SVM_author']]