replace gender/rf model; update norms

config.py

@@ -84,15 +84,14 @@ officer_gender_l2_norm = {
     "undersampling": {
         "days_on_force": 14658,
         "complaint_duration_days": 2817,
-        "previous_complaints": 112,
+        "previous_complaints": 107,
         "current_rank": 13,
         "incident_rank": 13
     },
-    # todo these are dummy values
     "no_undersampling": {
-        "days_on_force": 14658,
-        "complaint_duration_days": 2817,
-        "previous_complaints": 112,
+        "days_on_force": 14500,
+        "complaint_duration_days": 3361,
+        "previous_complaints": 129,
         "current_rank": 13,
         "incident_rank": 13
     }

models/OfficerGender/Random Forest Undersampling.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cf1e6dda25c9eaa9a2cea2d6c90fb938df723b519f55caabedd9f58de980fc34
-size 210655033
+oid sha256:38ed62a9574990628e407e361290c61e2f552652a28aea8d324be77f6b0231ba
+size 161138041