diff --git a/analyses/new-feature-template.qmd b/analyses/new-feature-template.qmd
index 98e24d6d3..d675dd753 100644
--- a/analyses/new-feature-template.qmd
+++ b/analyses/new-feature-template.qmd
@@ -15,8 +15,8 @@ format:
     fig-align: center
     fontsize: 12pt
 params:
-  run_id: "2025-02-11-charming-eric"
-  run_id_year: "2025"
+  run_id: "2026-02-03-compassionate-bowen"
+  run_id_year: "2026"
   comparison_run_id: "2025-01-10-serene-boni"
   comparison_run_id_year: "2025"
   added_feature: "time_sale_roll_mean_nbhd_t0_w3"
diff --git a/dvc.lock b/dvc.lock
index 52faab73d..246c92a51 100755
--- a/dvc.lock
+++ b/dvc.lock
@@ -5,25 +5,24 @@ stages:
     deps:
     - path: pipeline/00-ingest.R
       hash: md5
-      md5: c4ceb95f9f3886c99bb7517d65208957
-      size: 22881
+      md5: ccf3c4f2bf27ebfc99bcc0c67cfed6e2
+      size: 23623
     params:
       params.yaml:
         assessment:
-          year: '2025'
-          date: '2025-01-01'
-          triad: north
+          year: '2026'
+          date: '2026-01-01'
+          triad: south
           group: residential
-          data_year: '2024'
-          working_year: '2025'
+          data_year: '2025'
+          working_year: '2026'
         input:
-          min_sale_year: '2016'
-          max_sale_year: '2024'
+          min_sale_year: '2017'
+          max_sale_year: '2025'
           n_years_prior: 4
           complex:
             match_exact:
             - meta_township_code
-            - meta_class
             - char_bsmt
             - char_gar1_size
             - char_attic_fnsh
@@ -38,35 +37,35 @@ stages:
     outs:
     - path: input/assessment_data.parquet
       hash: md5
-      md5: 5bddc7898ab32b5d082fd7acc9cb39c3
-      size: 420008988
+      md5: 815bca22e0844c82e910d166015e5452
+      size: 418572081
     - path: input/char_data.parquet
       hash: md5
-      md5: c82b16c142a14cd3b3e1f9c57012db83
-      size: 842953864
+      md5: 8fb6173490b9e969ef9c0f2aa9a48313
+      size: 843081253
     - path: input/complex_id_data.parquet
       hash: md5
-      md5: 1a6b5a11c589b520343c7badb111644b
-      size: 709841
+      md5: 425076a3e7179c93baa5f511ef71bf4b
+      size: 706109
     - path: input/hie_data.parquet
       hash: md5
-      md5: 33b8b10dd555d63498010dc05ca3f00e
-      size: 1924357
+      md5: 79d62ef4d1a9b5d945a5aafaed54e263
+      size: 1922138
     - path: input/land_nbhd_rate_data.parquet
       hash: md5
-      md5: 5fe80edfabdfac91efe888a25ee4051c
-      size: 6019
+      md5: b4cfaf3d4a35c250990752024a88f3bb
+      size: 5709
     - path: input/training_data.parquet
       hash: md5
-      md5: 4146491d9160905569e67ade97610c69
-      size: 205524817
+      md5: 9f59471e50de4f1716274f600b566db9
+      size: 197716407
   train:
     cmd: Rscript pipeline/01-train.R
     deps:
     - path: input/training_data.parquet
       hash: md5
-      md5: 3156fd30394ae3fb9eda7e0d0176ab2f
-      size: 208501951
+      md5: 9f59471e50de4f1716274f600b566db9
+      size: 197716407
     - path: pipeline/01-train.R
       hash: md5
       md5: 46115d48cf066d35b0db14dc13a8d9b3
@@ -211,7 +210,6 @@ stages:
           - prox_nearest_road_highway_dist_ft
           - prox_nearest_road_arterial_dist_ft
           - prox_nearest_road_collector_dist_ft
-          - prox_nearest_road_highway_daily_traffic
           - prox_nearest_road_arterial_daily_traffic
           - prox_nearest_road_collector_daily_traffic
           - prox_nearest_new_construction_dist_ft
@@ -233,8 +231,6 @@ stages:
           - acs5_median_household_renter_occupied_gross_rent
           - acs5_percent_household_owner_occupied
           - other_tax_bill_rate
-          - other_school_district_elementary_avg_rating
-          - other_school_district_secondary_avg_rating
           - time_sale_year
           - time_sale_day
           - time_sale_quarter_of_year
@@ -279,13 +275,13 @@ stages:
           - meta_class
           - meta_card_num
           - meta_sale_document_num
-        model.seed: 2024
+        model.seed: 2026
         model.verbose: -1
         ratio_study:
-          far_year: '2021'
+          far_year: '2023'
           far_stage: board
           far_column: meta_2yr_pri_board_tot
-          near_year: '2023'
+          near_year: '2025'
           near_stage: certified
           near_column: meta_certified_tot
           min_n_sales: 30
@@ -307,72 +303,72 @@ stages:
     outs:
     - path: output/intermediate/timing/model_timing_train.parquet
       hash: md5
-      md5: 718355a0a97646ada3839b423fa6f505
+      md5: f3b98cc316e8de429f36b1e2dac2e358
       size: 2494
     - path: output/parameter_final/model_parameter_final.parquet
       hash: md5
-      md5: 42d5e8030cef68b122116608d206756a
+      md5: fb992eb468be163cefb9b7e81fc2daa3
       size: 6403
     - path: output/parameter_range/model_parameter_range.parquet
       hash: md5
-      md5: a47965c8cbafb84368f2a21a047bc7f2
+      md5: b378f8ae73167478032391c6cdd3bbad
       size: 501
     - path: output/parameter_search/model_parameter_search.parquet
       hash: md5
-      md5: a47965c8cbafb84368f2a21a047bc7f2
+      md5: b378f8ae73167478032391c6cdd3bbad
       size: 501
     - path: output/test_card/model_test_card.parquet
       hash: md5
-      md5: 2c849fe0de354d762fb6bd7cc9527b3c
-      size: 2252194
+      md5: 3dcfbe00fdf1b9b43a8efd61eba9cd38
+      size: 2051281
     - path: output/workflow/fit/model_workflow_fit.zip
       hash: md5
-      md5: 4f474f2031e275bc6af6fed5ac84cf11
-      size: 11819090
+      md5: b69d2dcdefe58704b06b84907b32f130
+      size: 11729461
     - path: output/workflow/recipe/model_workflow_recipe.rds
       hash: md5
-      md5: 94a53f083b777c19b0259fe20b02dc47
-      size: 1981143
+      md5: 2942309984679ea67a89a3d127fe78cd
+      size: 43615
   assess:
     cmd: Rscript pipeline/02-assess.R
     deps:
     - path: input/assessment_data.parquet
       hash: md5
-      md5: cecaf4aee89d2269bd059f536e611101
-      size: 425453415
+      md5: 815bca22e0844c82e910d166015e5452
+      size: 418572081
     - path: input/complex_id_data.parquet
       hash: md5
-      md5: 835be789fc9ef09f3bfa1d5c8465f6e6
-      size: 704175
+      md5: 425076a3e7179c93baa5f511ef71bf4b
+      size: 706109
     - path: input/land_nbhd_rate_data.parquet
       hash: md5
-      md5: f3ec9627322bd271bf2957b7388aaa34
-      size: 3873
+      md5: b4cfaf3d4a35c250990752024a88f3bb
+      size: 5709
     - path: input/training_data.parquet
       hash: md5
-      md5: 3156fd30394ae3fb9eda7e0d0176ab2f
-      size: 208501951
+      md5: 9f59471e50de4f1716274f600b566db9
+      size: 197716407
     - path: output/workflow/fit/model_workflow_fit.zip
       hash: md5
-      md5: 4f474f2031e275bc6af6fed5ac84cf11
-      size: 11819090
+      md5: b69d2dcdefe58704b06b84907b32f130
+      size: 11729461
     - path: output/workflow/recipe/model_workflow_recipe.rds
       hash: md5
-      md5: 94a53f083b777c19b0259fe20b02dc47
-      size: 1981143
+      md5: 2942309984679ea67a89a3d127fe78cd
+      size: 43615
     - path: pipeline/02-assess.R
       hash: md5
-      md5: 8ad109ba91182b164db83c67a7f097e9
-      size: 22671
+      md5: dfd02c27b923634010a7723ba679efb3
+      size: 23253
     params:
       params.yaml:
         assessment:
-          year: '2024'
-          date: '2024-01-01'
-          triad: north
+          year: '2026'
+          date: '2026-01-01'
+          triad: south
           group: residential
-          data_year: '2023'
-          working_year: '2025'
+          data_year: '2025'
+          working_year: '2026'
         model.predictor.all:
         - meta_township_code
         - meta_nbhd_code
@@ -434,7 +430,6 @@ stages:
         - prox_nearest_road_highway_dist_ft
         - prox_nearest_road_arterial_dist_ft
         - prox_nearest_road_collector_dist_ft
-        - prox_nearest_road_highway_daily_traffic
         - prox_nearest_road_arterial_daily_traffic
         - prox_nearest_road_collector_daily_traffic
         - prox_nearest_new_construction_dist_ft
@@ -456,8 +451,6 @@ stages:
         - acs5_median_household_renter_occupied_gross_rent
         - acs5_percent_household_owner_occupied
         - other_tax_bill_rate
-        - other_school_district_elementary_avg_rating
-        - other_school_district_secondary_avg_rating
         - time_sale_year
         - time_sale_day
         - time_sale_quarter_of_year
@@ -473,7 +466,6 @@ stages:
         - shp_parcel_mrr_side_ratio
         - shp_parcel_num_vertices
         pv:
-          multicard_yoy_cap: 2.2
           land_pct_of_total_cap: 0.5
           round_break:
           - 1000
@@ -486,10 +478,10 @@ stages:
           - 10000
           round_type: floor
         ratio_study:
-          far_year: '2021'
+          far_year: '2023'
           far_stage: board
           far_column: meta_2yr_pri_board_tot
-          near_year: '2023'
+          near_year: '2025'
           near_stage: certified
           near_column: meta_certified_tot
           min_n_sales: 30
@@ -510,27 +502,27 @@ stages:
     outs:
     - path: output/assessment_card/model_assessment_card.parquet
       hash: md5
-      md5: 92b7958bedd436e99cc3c891ad08acc1
-      size: 279676461
+      md5: a2e78733c6bf3745408cbfdddaf79de3
+      size: 279244518
     - path: output/assessment_pin/model_assessment_pin.parquet
       hash: md5
-      md5: 45652e2a5f56ba388adee4fbbc0ed097
-      size: 113678976
+      md5: c6231bdeb6ecd182cd83244589a5b6f6
+      size: 111516900
     - path: output/intermediate/timing/model_timing_assess.parquet
       hash: md5
-      md5: c24ab596c68f5d85bc9840693913592b
+      md5: a196a4a4e56f22519ec3550a242f0e26
       size: 2494
   evaluate:
     cmd: Rscript pipeline/03-evaluate.R
     deps:
     - path: output/assessment_pin/model_assessment_pin.parquet
       hash: md5
-      md5: 45652e2a5f56ba388adee4fbbc0ed097
-      size: 113678976
+      md5: c6231bdeb6ecd182cd83244589a5b6f6
+      size: 111516900
     - path: output/test_card/model_test_card.parquet
       hash: md5
-      md5: 2c849fe0de354d762fb6bd7cc9527b3c
-      size: 2252194
+      md5: 3dcfbe00fdf1b9b43a8efd61eba9cd38
+      size: 2051281
     - path: pipeline/03-evaluate.R
       hash: md5
       md5: b68f8032a61613e5b2d25829f955f056
@@ -538,17 +530,17 @@ stages:
     params:
       params.yaml:
         assessment:
-          year: '2024'
-          date: '2024-01-01'
-          triad: north
+          year: '2026'
+          date: '2026-01-01'
+          triad: south
           group: residential
-          data_year: '2023'
-          working_year: '2025'
+          data_year: '2025'
+          working_year: '2026'
         ratio_study:
-          far_year: '2021'
+          far_year: '2023'
           far_stage: board
           far_column: meta_2yr_pri_board_tot
-          near_year: '2023'
+          near_year: '2025'
           near_stage: certified
           near_column: meta_certified_tot
           min_n_sales: 30
@@ -569,51 +561,51 @@ stages:
     outs:
     - path: output/intermediate/timing/model_timing_evaluate.parquet
       hash: md5
-      md5: 9b6970f2d37eb392f0749aca46e3cdab
+      md5: f0f3238577d9bdf835f210871ceffc2f
       size: 2514
     - path: output/performance/model_performance_assessment.parquet
       hash: md5
-      md5: b97ebb3ee8b84c449808eaa0461ee328
-      size: 2757682
+      md5: bfb62b767573d17e288b7cc38cd68132
+      size: 3224032
     - path: output/performance/model_performance_test.parquet
       hash: md5
-      md5: 74e2066197cb5b081a0ce1824053d6ec
-      size: 8435404
+      md5: 6fd4726e9b4d5686aeb5aaa559650788
+      size: 8240751
     - path: output/performance_quantile/model_performance_quantile_assessment.parquet
       hash: md5
-      md5: 1b1b40251eaaff638da9a92c9a6d524c
-      size: 989964
+      md5: 252248672a31b8a6b3225d85aa9084e4
+      size: 996286
     - path: output/performance_quantile/model_performance_quantile_test.parquet
       hash: md5
-      md5: 700d46e105a18f8f50c82fcc9835289a
-      size: 4886365
+      md5: 2d9b186aaa4acb6015cd1f3c5577e4c2
+      size: 4867672
   interpret:
     cmd: Rscript pipeline/04-interpret.R
     deps:
     - path: input/assessment_data.parquet
       hash: md5
-      md5: cecaf4aee89d2269bd059f536e611101
-      size: 425453415
+      md5: 815bca22e0844c82e910d166015e5452
+      size: 418572081
     - path: input/training_data.parquet
       hash: md5
-      md5: 3156fd30394ae3fb9eda7e0d0176ab2f
-      size: 208501951
+      md5: 9f59471e50de4f1716274f600b566db9
+      size: 197716407
     - path: output/assessment_card/model_assessment_card.parquet
       hash: md5
-      md5: 92b7958bedd436e99cc3c891ad08acc1
-      size: 279676461
+      md5: a2e78733c6bf3745408cbfdddaf79de3
+      size: 279244518
     - path: output/workflow/fit/model_workflow_fit.zip
       hash: md5
-      md5: 4f474f2031e275bc6af6fed5ac84cf11
-      size: 11819090
+      md5: b69d2dcdefe58704b06b84907b32f130
+      size: 11729461
     - path: output/workflow/recipe/model_workflow_recipe.rds
       hash: md5
-      md5: 94a53f083b777c19b0259fe20b02dc47
-      size: 1981143
+      md5: 2942309984679ea67a89a3d127fe78cd
+      size: 43615
     - path: pipeline/04-interpret.R
       hash: md5
-      md5: b56862f667b87c72f851ecc836ea4ea5
-      size: 9726
+      md5: c18082f2493a485d5ccc73bdb90ccbc0
+      size: 13562
     params:
       params.yaml:
         model.predictor.all:
@@ -677,7 +669,6 @@ stages:
         - prox_nearest_road_highway_dist_ft
         - prox_nearest_road_arterial_dist_ft
         - prox_nearest_road_collector_dist_ft
-        - prox_nearest_road_highway_daily_traffic
         - prox_nearest_road_arterial_daily_traffic
         - prox_nearest_road_collector_daily_traffic
         - prox_nearest_new_construction_dist_ft
@@ -699,8 +690,6 @@ stages:
         - acs5_median_household_renter_occupied_gross_rent
         - acs5_percent_household_owner_occupied
         - other_tax_bill_rate
-        - other_school_district_elementary_avg_rating
-        - other_school_district_secondary_avg_rating
         - time_sale_year
         - time_sale_day
         - time_sale_quarter_of_year
@@ -716,47 +705,47 @@ stages:
         - shp_parcel_mrr_side_ratio
         - shp_parcel_num_vertices
         toggle.comp_enable: false
-        toggle.shap_enable: false
+        toggle.shap_enable: true
     outs:
     - path: output/comp/model_comp.parquet
       hash: md5
-      md5: a47965c8cbafb84368f2a21a047bc7f2
+      md5: b378f8ae73167478032391c6cdd3bbad
       size: 501
     - path: output/feature_importance/model_feature_importance.parquet
       hash: md5
-      md5: 0188f3467e29797ae416937625e38d98
-      size: 8962
+      md5: ee1d28a09869e0bcdece028f1d6bfded
+      size: 8629
     - path: output/intermediate/timing/model_timing_interpret.parquet
       hash: md5
-      md5: 609a31970e44ac5a41eca85abef26f44
-      size: 2519
+      md5: 9e20fc369078d7c83be55eb482618299
+      size: 2534
     - path: output/shap/model_shap.parquet
       hash: md5
-      md5: a47965c8cbafb84368f2a21a047bc7f2
-      size: 501
+      md5: af45fd61c45df4873123ce9abe158503
+      size: 879608090
   finalize:
     cmd: Rscript pipeline/05-finalize.R
     deps:
     - path: output/intermediate/timing/model_timing_assess.parquet
       hash: md5
-      md5: c24ab596c68f5d85bc9840693913592b
+      md5: a196a4a4e56f22519ec3550a242f0e26
       size: 2494
     - path: output/intermediate/timing/model_timing_evaluate.parquet
       hash: md5
-      md5: 9b6970f2d37eb392f0749aca46e3cdab
+      md5: f0f3238577d9bdf835f210871ceffc2f
       size: 2514
     - path: output/intermediate/timing/model_timing_interpret.parquet
       hash: md5
-      md5: 609a31970e44ac5a41eca85abef26f44
-      size: 2519
+      md5: 9e20fc369078d7c83be55eb482618299
+      size: 2534
     - path: output/intermediate/timing/model_timing_train.parquet
       hash: md5
-      md5: 718355a0a97646ada3839b423fa6f505
+      md5: f3b98cc316e8de429f36b1e2dac2e358
       size: 2494
     - path: pipeline/05-finalize.R
       hash: md5
-      md5: 69a7cd711d917d38aee5f87a14e29e33
-      size: 7867
+      md5: 8f007737c0127329ad42afad687a1b80
+      size: 7813
     params:
       params.yaml:
         cv:
@@ -769,13 +758,12 @@ stages:
           uncertain: 8
           best_metric: rmse
         input:
-          min_sale_year: '2015'
-          max_sale_year: '2023'
+          min_sale_year: '2017'
+          max_sale_year: '2025'
           n_years_prior: 4
           complex:
             match_exact:
             - meta_township_code
-            - meta_class
             - char_bsmt
             - char_gar1_size
             - char_attic_fnsh
@@ -790,7 +778,7 @@ stages:
         model:
           engine: lightgbm
           objective: rmse
-          seed: 2024
+          seed: 2026
           deterministic: true
           force_row_wise: true
           verbose: -1
@@ -856,7 +844,6 @@ stages:
             - prox_nearest_road_highway_dist_ft
             - prox_nearest_road_arterial_dist_ft
             - prox_nearest_road_collector_dist_ft
-            - prox_nearest_road_highway_daily_traffic
             - prox_nearest_road_arterial_daily_traffic
             - prox_nearest_road_collector_daily_traffic
             - prox_nearest_new_construction_dist_ft
@@ -878,8 +865,6 @@ stages:
             - acs5_median_household_renter_occupied_gross_rent
             - acs5_percent_household_owner_occupied
             - other_tax_bill_rate
-            - other_school_district_elementary_avg_rating
-            - other_school_district_secondary_avg_rating
             - time_sale_year
             - time_sale_day
             - time_sale_quarter_of_year
@@ -990,7 +975,6 @@ stages:
               - -3
               - 2
         pv:
-          multicard_yoy_cap: 2.2
           land_pct_of_total_cap: 0.5
           round_break:
           - 1000
@@ -1003,10 +987,10 @@ stages:
           - 10000
           round_type: floor
         ratio_study:
-          far_year: '2021'
+          far_year: '2023'
           far_stage: board
           far_column: meta_2yr_pri_board_tot
-          near_year: '2023'
+          near_year: '2025'
           near_stage: certified
           near_column: meta_certified_tot
           min_n_sales: 30
@@ -1024,49 +1008,49 @@ stages:
           - loc_school_elementary_district_geoid
           - loc_school_secondary_district_geoid
           - loc_school_unified_district_geoid
-        run_note: Preparing for 2025 model with 2024 data
+        run_note: Potential residential baseline with SHAP values, revert DVC path
         toggle:
           cv_enable: false
-          shap_enable: false
+          shap_enable: true
           comp_enable: false
-          upload_enable: false
+          upload_enable: true
     outs:
     - path: output/intermediate/timing/model_timing_finalize.parquet
       hash: md5
-      md5: 1a0ebc384517468a55d9f698e8ce9fe5
+      md5: 22027ae58fdc1986c41b9f0a1273d246
       size: 2519
     - path: output/metadata/model_metadata.parquet
       hash: md5
-      md5: 0f80826aee046eec76ddb1b03733d00b
-      size: 21462
+      md5: 0104542652e89027447fefdbe1939a7f
+      size: 21011
     - path: output/timing/model_timing.parquet
       hash: md5
-      md5: b0b625cc0a3a0d6039a97490974f0bd2
-      size: 5123
+      md5: 55177cc343b5e0caeadb994b5249381b
+      size: 5163
     - path: reports/performance/performance.html
       hash: md5
-      md5: ffdeaee2060b19a86f67b47fd6801950
-      size: 28900191
+      md5: bef5a4e88aed64110be341fb9edeaaa3
+      size: 43361129
   export:
     cmd: Rscript pipeline/07-export.R
     deps:
     - path: pipeline/07-export.R
       hash: md5
-      md5: b4615315b52165eed4a030c94def015b
-      size: 33718
+      md5: bd72f9ee143a584446c2c3d3bc28d35b
+      size: 35506
     params:
       params.yaml:
-        assessment.year: '2023'
+        assessment.year: '2026'
         export:
           triad_code: '3'
-          run_id: 2023-03-14-clever-damani
-        input.max_sale_year: '2022'
-        input.min_sale_year: '2014'
+          run_id: 2026-02-03-compassionate-bowen
+        input.max_sale_year: '2025'
+        input.min_sale_year: '2017'
         ratio_study:
-          far_year: '2020'
+          far_year: '2023'
           far_stage: board
           far_column: meta_2yr_pri_board_tot
-          near_year: '2022'
+          near_year: '2025'
           near_stage: certified
           near_column: meta_certified_tot
           min_n_sales: 30
@@ -1089,77 +1073,77 @@ stages:
     deps:
     - path: output/assessment_card/model_assessment_card.parquet
       hash: md5
-      md5: 92b7958bedd436e99cc3c891ad08acc1
-      size: 279676461
+      md5: a2e78733c6bf3745408cbfdddaf79de3
+      size: 279244518
     - path: output/assessment_pin/model_assessment_pin.parquet
       hash: md5
-      md5: 45652e2a5f56ba388adee4fbbc0ed097
-      size: 113678976
+      md5: c6231bdeb6ecd182cd83244589a5b6f6
+      size: 111516900
     - path: output/comp/model_comp.parquet
       hash: md5
-      md5: a47965c8cbafb84368f2a21a047bc7f2
+      md5: b378f8ae73167478032391c6cdd3bbad
       size: 501
     - path: output/feature_importance/model_feature_importance.parquet
       hash: md5
-      md5: 0188f3467e29797ae416937625e38d98
-      size: 8962
+      md5: ee1d28a09869e0bcdece028f1d6bfded
+      size: 8629
     - path: output/metadata/model_metadata.parquet
       hash: md5
-      md5: 0f80826aee046eec76ddb1b03733d00b
-      size: 21462
+      md5: 0104542652e89027447fefdbe1939a7f
+      size: 21011
     - path: output/parameter_final/model_parameter_final.parquet
       hash: md5
-      md5: 42d5e8030cef68b122116608d206756a
+      md5: fb992eb468be163cefb9b7e81fc2daa3
       size: 6403
     - path: output/parameter_range/model_parameter_range.parquet
       hash: md5
-      md5: a47965c8cbafb84368f2a21a047bc7f2
+      md5: b378f8ae73167478032391c6cdd3bbad
       size: 501
     - path: output/parameter_search/model_parameter_search.parquet
       hash: md5
-      md5: a47965c8cbafb84368f2a21a047bc7f2
+      md5: b378f8ae73167478032391c6cdd3bbad
       size: 501
     - path: output/performance/model_performance_assessment.parquet
       hash: md5
-      md5: b97ebb3ee8b84c449808eaa0461ee328
-      size: 2757682
+      md5: bfb62b767573d17e288b7cc38cd68132
+      size: 3224032
     - path: output/performance/model_performance_test.parquet
       hash: md5
-      md5: 74e2066197cb5b081a0ce1824053d6ec
-      size: 8435404
+      md5: 6fd4726e9b4d5686aeb5aaa559650788
+      size: 8240751
     - path: output/performance_quantile/model_performance_quantile_assessment.parquet
       hash: md5
-      md5: 1b1b40251eaaff638da9a92c9a6d524c
-      size: 989964
+      md5: 252248672a31b8a6b3225d85aa9084e4
+      size: 996286
     - path: output/performance_quantile/model_performance_quantile_test.parquet
       hash: md5
-      md5: 700d46e105a18f8f50c82fcc9835289a
-      size: 4886365
+      md5: 2d9b186aaa4acb6015cd1f3c5577e4c2
+      size: 4867672
     - path: output/shap/model_shap.parquet
       hash: md5
-      md5: a47965c8cbafb84368f2a21a047bc7f2
-      size: 501
+      md5: af45fd61c45df4873123ce9abe158503
+      size: 879608090
     - path: output/test_card/model_test_card.parquet
       hash: md5
-      md5: 2c849fe0de354d762fb6bd7cc9527b3c
-      size: 2252194
+      md5: 3dcfbe00fdf1b9b43a8efd61eba9cd38
+      size: 2051281
     - path: output/timing/model_timing.parquet
       hash: md5
-      md5: b0b625cc0a3a0d6039a97490974f0bd2
-      size: 5123
+      md5: 55177cc343b5e0caeadb994b5249381b
+      size: 5163
     - path: output/workflow/fit/model_workflow_fit.zip
       hash: md5
-      md5: 4f474f2031e275bc6af6fed5ac84cf11
-      size: 11819090
+      md5: b69d2dcdefe58704b06b84907b32f130
+      size: 11729461
     - path: output/workflow/recipe/model_workflow_recipe.rds
       hash: md5
-      md5: 94a53f083b777c19b0259fe20b02dc47
-      size: 1981143
+      md5: 2942309984679ea67a89a3d127fe78cd
+      size: 43615
     - path: pipeline/06-upload.R
       hash: md5
       md5: 0fe374cec43dca64602659213fce24b6
       size: 11297
     - path: reports/performance/performance.html
       hash: md5
-      md5: ffdeaee2060b19a86f67b47fd6801950
-      size: 28900191
+      md5: bef5a4e88aed64110be341fb9edeaaa3
+      size: 43361129
diff --git a/params.yaml b/params.yaml
index 9ca885a81..e5c7dc37c 100644
--- a/params.yaml
+++ b/params.yaml
@@ -11,11 +11,11 @@
 
 # Model tag used to identify the purpose of the run. Must be one of:
 # "junk", "rejected", "test", "baseline", "candidate", "final", or "comps"
-run_type: "test"
+run_type: "baseline"
 
 # Note included with each run. Use this to summarize what changed about the run
 # or add context
-run_note: Testing 2026 baseline model with updated parameters
+run_note: Potential residential baseline with SHAP values, revert DVC path
 
 toggle:
   # Should the train stage run full cross-validation? Otherwise, the model
@@ -27,7 +27,7 @@ toggle:
   shap_enable: true
 
   # Should comps be calculated for this run in the interpret stage?
-  comp_enable: true
+  comp_enable: false
 
   # Upload all modeling artifacts and results to S3 in the upload stage. Set
   # to false if you are not a CCAO employee
@@ -419,4 +419,4 @@ comp:
 # upload
 export:
   triad_code: "3"
-  run_id: "2025-02-11-charming-eric"
+  run_id: "2026-02-03-compassionate-bowen"
diff --git a/pipeline/00-ingest.R b/pipeline/00-ingest.R
index 13031fd96..008e736ab 100644
--- a/pipeline/00-ingest.R
+++ b/pipeline/00-ingest.R
@@ -148,16 +148,17 @@ assessment_data <- dbGetQuery(
 )
 tictoc::toc()
 
-# The neighborhood code for pin 30172130150000 is incorrect before 2026.
+# The neighborhood codes for these pins are incorrect before 2026.
 # Unfortunately this leads to a random neighborhood from the North Tri getting
 # included in reporting and exports for a South Tri modeling year. Because this
 # is an iasWorld data issue and can't be corrected for 2025 since it's locked
-# for editing, we've decided to hard-code this correction into the pipeline for
-# now. This code should be removed for assessment year 2027 modeling.
+# for editing, we've decided to hard-code these corrections into the pipeline
+# for now. This code should be removed for assessment year 2027 modeling.
 assessment_data <- assessment_data %>%
   mutate(
     meta_nbhd_code = case_when(
       meta_pin == "30172130150000" ~ "37061",
+      meta_pin == "15024050110000" ~ "33020",
       TRUE ~ meta_nbhd_code
     )
   )
diff --git a/reports/challenge_groups/challenge_groups.qmd b/reports/challenge_groups/challenge_groups.qmd
index b31256fb5..21e61172b 100644
--- a/reports/challenge_groups/challenge_groups.qmd
+++ b/reports/challenge_groups/challenge_groups.qmd
@@ -20,8 +20,8 @@ knitr:
     out.width: "100%"
 editor: source
 params:
-  run_id: "2025-02-11-charming-eric"
-  year: "2025"
+  run_id: "2026-02-03-compassionate-bowen"
+  year: "2026"
 ---
 
 ```{r _setup_script}
diff --git a/reports/model_features/model_features.qmd b/reports/model_features/model_features.qmd
index 18010483f..0b6fff8da 100644
--- a/reports/model_features/model_features.qmd
+++ b/reports/model_features/model_features.qmd
@@ -11,9 +11,9 @@ format:
     embed-resources: true
 params:
   # The run ID for last year's model (usually the final res model)
-  comp_run_id: "2024-03-17-stupefied-maya"
+  comp_run_id: "2025-02-11-charming-eric"
   # The run ID for the new model run that we want to compare to last year's model
-  baseline_run_id: "2025-02-11-charming-eric"
+  baseline_run_id: "2026-02-03-compassionate-bowen"
 ---
 
 {{< include data_changes.qmd >}}
diff --git a/reports/performance/performance.qmd b/reports/performance/performance.qmd
index 6d80cdfab..9dbd8dfc8 100644
--- a/reports/performance/performance.qmd
+++ b/reports/performance/performance.qmd
@@ -20,8 +20,8 @@ knitr:
     out.width: "100%"
 editor: source
 params:
-  run_id: "2025-02-11-charming-eric"
-  year: "2025"
+  run_id: "2026-02-03-compassionate-bowen"
+  year: "2026"
 ---
 
 ```{r _setup_script}