diff --git a/.github/workflows/Deploy.yml b/.github/workflows/Deploy.yml
index c1b21f6..2432655 100644
--- a/.github/workflows/Deploy.yml
+++ b/.github/workflows/Deploy.yml
@@ -2,7 +2,7 @@ name: Sap Change Model Deploy
 
 on:
   push:
-    branches: [ sap-dev, sap-prod, heat-dev, heat-prod, carbon-dev, carbon-prod, lighting-dev, lighting-prod ]
+    branches: [ sap-dev, sap-prod, heat-dev, heat-prod, carbon-dev, carbon-prod, cost-dev, cost-prod]
 
 jobs:
   deploy:
diff --git a/.github/workflows/MLPipelinePostMerge.yml b/.github/workflows/MLPipelinePostMerge.yml
index 78ea05a..1eaba31 100644
--- a/.github/workflows/MLPipelinePostMerge.yml
+++ b/.github/workflows/MLPipelinePostMerge.yml
@@ -13,7 +13,7 @@ on:
       - "sap-dev"
       - "heat-dev"
       - "carbon-dev"
-      - "lighting-dev"
+      - "cost-dev"
 
 permissions: write-all
 
diff --git a/.github/workflows/MLPipelinePullRequest.yml b/.github/workflows/MLPipelinePullRequest.yml
index aa701db..c60ecb8 100644
--- a/.github/workflows/MLPipelinePullRequest.yml
+++ b/.github/workflows/MLPipelinePullRequest.yml
@@ -5,7 +5,7 @@ on:
   #   branches:
   #     - "model-**"
   pull_request:
-    branches: ["sap-dev", "heat-dev", "carbon-dev", "lighting-dev"]
+    branches: ["sap-dev", "heat-dev", "carbon-dev", "cost-dev"]
   label:
     types: ["created", "edited"]
 
diff --git a/modules/ml-pipeline/src/pipeline/configs/feature_processor_logic.py b/modules/ml-pipeline/src/pipeline/configs/feature_processor_logic.py
index 103168d..40ec912 100644
--- a/modules/ml-pipeline/src/pipeline/configs/feature_processor_logic.py
+++ b/modules/ml-pipeline/src/pipeline/configs/feature_processor_logic.py
@@ -44,6 +44,11 @@ def keep_non_zero_rdsap(df):
     df = df[df["rdsap_change"] != 0]
     return df
 
+def create_overall_costs(df):
+    df["overall_costs_starting"] = df["lighting_cost_starting"] + df["heating_cost_starting"] + df["hot_water_cost_starting"]
+    df["overall_costs_ending"] = df["lighting_cost_ending"] + df["heating_cost_ending"] + df["hot_water_cost_ending"]
+    return df
+
 
 # def keep_ending_columns(df):
 #     ending_column_index = [ col_name.endswith("_ENDING") for col_name in list(df.columns)]
@@ -54,6 +59,7 @@ def keep_non_zero_rdsap(df):
 #     return df
 
 business_logic = {
+    "create_overall_costs": create_overall_costs
     # "keep_non_zero_rdsap": keep_non_zero_rdsap,
     # "keep_flats": keep_flats,
     # "remove_minimum_habitable_room_size": remove_minimum_habitable_room_size,
diff --git a/modules/ml-pipeline/src/pipeline/configs/settings.yaml b/modules/ml-pipeline/src/pipeline/configs/settings.yaml
index 3adbe55..e2c69ba 100644
--- a/modules/ml-pipeline/src/pipeline/configs/settings.yaml
+++ b/modules/ml-pipeline/src/pipeline/configs/settings.yaml
@@ -32,12 +32,12 @@ default:
     feature_processor_config:
       subsample_amount: null
       subsample_seed: 0
-      target: lighting_cost_ending
+      target: overall_costs_ending
       identifier_columns: ["uprn"]
       # drop_columns: ["heat_demand_change", "carbon_change", "rdsap_change", "heat_demand_ending", "carbon_ending", "days_to_starting", "days_to_ending"]
       drop_columns: [
         "sap_ending", "heat_demand_change", "carbon_change", "rdsap_change", "heat_demand_ending", "carbon_ending", 
-        "heating_cost_ending", "hot_water_cost_ending",
+        "lighting_cost_ending", "heating_cost_ending", "hot_water_cost_ending",
         # "days_to_starting", "days_to_ending",
         'number_habitable_rooms_starting', 'number_habitable_rooms_ending', 'number_heated_rooms_starting', 'number_heated_rooms_ending',
         'number_habitable_rooms', 'number_heated_rooms']
diff --git a/modules/ml-pipeline/src/pipeline/dvc.lock b/modules/ml-pipeline/src/pipeline/dvc.lock
index a34651c..f82557b 100644
--- a/modules/ml-pipeline/src/pipeline/dvc.lock
+++ b/modules/ml-pipeline/src/pipeline/dvc.lock
@@ -27,6 +27,7 @@ stages:
         - rdsap_change
         - heat_demand_ending
         - carbon_ending
+        - lighting_cost_ending
         - heating_cost_ending
         - hot_water_cost_ending
         - number_habitable_rooms_starting
@@ -38,7 +39,7 @@ stages:
         default.feature_processor.feature_processor_config.retain_features:
         default.feature_processor.feature_processor_config.subsample_amount:
         default.feature_processor.feature_processor_config.subsample_seed: 0
-        default.feature_processor.feature_processor_config.target: lighting_cost_ending
+        default.feature_processor.feature_processor_config.target: overall_costs_ending
         default.feature_processor.feature_processor_type: dataframe
         default.prepare_data.data_filepath: 
           s3://retrofit-data-dev/sap_change_model/2024-07-03-23-11-39/dataset_rooms.parquet
@@ -50,8 +51,8 @@ stages:
     outs:
     - path: data/prepared_data/
       hash: md5
-      md5: 0f11a02cf75c0421757c0b26184cec33.dir
-      size: 48971227
+      md5: e484d5032d234731d7f0b218310161e6.dir
+      size: 50645982
       nfiles: 2
   build_model:
     cmd: python 2_build_model.py
@@ -62,8 +63,8 @@ stages:
       size: 4820
     - path: data/prepared_data
       hash: md5
-      md5: 0f11a02cf75c0421757c0b26184cec33.dir
-      size: 48971227
+      md5: e484d5032d234731d7f0b218310161e6.dir
+      size: 50645982
       nfiles: 2
     params:
       configs/build_model.yaml:
@@ -95,18 +96,18 @@ stages:
     outs:
     - path: data/fit_predictions/
       hash: md5
-      md5: 36c41f88681ab90668c17ce63fd9c318.dir
-      size: 3444201
+      md5: 815c326a9ef5c5bea201c06cb04fee7e.dir
+      size: 3445213
       nfiles: 1
     - path: data/model/
       hash: md5
-      md5: bb9c3f1538e02e20e918ec36a0b7546f.dir
-      size: 754271944
+      md5: 3c5340b992ffb3162d65361ba9d09bbd.dir
+      size: 823603444
       nfiles: 37
     - path: metrics/fit_metrics.json
       hash: md5
-      md5: 16ae1efa8ac48d8ed978bb3fa67be64a
-      size: 225
+      md5: 7d0715b84211f5cdef7a41954e7bc8e5
+      size: 222
   generate_predictions:
     cmd: python 3_generate_predictions.py
     deps:
@@ -116,13 +117,13 @@ stages:
       size: 2464
     - path: data/model
       hash: md5
-      md5: bb9c3f1538e02e20e918ec36a0b7546f.dir
-      size: 754271944
+      md5: 3c5340b992ffb3162d65361ba9d09bbd.dir
+      size: 823603444
       nfiles: 37
     - path: data/prepared_data
       hash: md5
-      md5: 0f11a02cf75c0421757c0b26184cec33.dir
-      size: 48971227
+      md5: e484d5032d234731d7f0b218310161e6.dir
+      size: 50645982
       nfiles: 2
     params:
       configs/settings.yaml:
@@ -134,8 +135,8 @@ stages:
     outs:
     - path: data/predictions/
       hash: md5
-      md5: 50909a5b19c2551410e921dc9a92bef7.dir
-      size: 480359
+      md5: 7d223c9cf49cdbc520ba607e00868123.dir
+      size: 480423
       nfiles: 1
   generate_metrics:
     cmd: python 4_generate_metrics.py
@@ -146,13 +147,13 @@ stages:
       size: 3484
     - path: data/predictions
       hash: md5
-      md5: 50909a5b19c2551410e921dc9a92bef7.dir
-      size: 480359
+      md5: 7d223c9cf49cdbc520ba607e00868123.dir
+      size: 480423
       nfiles: 1
     - path: data/prepared_data
       hash: md5
-      md5: 0f11a02cf75c0421757c0b26184cec33.dir
-      size: 48971227
+      md5: e484d5032d234731d7f0b218310161e6.dir
+      size: 50645982
       nfiles: 2
     params:
       configs/settings.yaml:
@@ -162,8 +163,8 @@ stages:
     outs:
     - path: metrics/metrics.json
       hash: md5
-      md5: d74767b34a1042c9ab0e3d6535791be6
-      size: 224
+      md5: 9700491cc19bd64a616cf504b0106896
+      size: 221
   generate_scenerio_metrics:
     cmd: python 5_generate_scenarios.py
     deps: