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@@ -3,29 +3,28 @@ library_name: scikit-learn
 metrics:
 - name: accuracy
   type: accuracy
-  value: 0.661888917327873
+  value: 0.6608651138981315
 - name: precision
   type: precision
-  value: 0.6885733157199472
+  value: 0.6866797900262467
 - name: recall
   type: recall
-  value: 0.8465286236297198
+  value: 0.8497766950872919
 - name: f1_score
   type: f1_score
-  value: 0.7594245128391914
+  value: 0.7595717655597896
 pipeline_tag: structured-data-classification
 parameters:
-  model_type: Random Forest
   n_estimators: 200
   max_depth: 10
   random_state: 42
   features:
-  - Engine_RPM
-  - Lub_Oil_Pressure
-  - Fuel_Pressure
-  - Coolant_Pressure
-  - Lub_Oil_Temperature
-  - Coolant_Temperature
+  - Engine rpm
+  - Lub oil pressure
+  - Fuel pressure
+  - Coolant pressure
+  - lub oil temp
+  - Coolant temp
 ---
 
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