Log final model parameters and metrics

README.md

@@ -3,28 +3,29 @@ library_name: scikit-learn
 metrics:
 - name: accuracy
   type: accuracy
-  value: 0.6608651138981315
+  value: 0.661888917327873
 - name: precision
   type: precision
-  value: 0.6866797900262467
+  value: 0.6885733157199472
 - name: recall
   type: recall
-  value: 0.8497766950872919
+  value: 0.8465286236297198
 - name: f1_score
   type: f1_score
-  value: 0.7595717655597896
+  value: 0.7594245128391914
 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 temp
-  - Coolant temp
+  - Engine_RPM
+  - Lub_Oil_Pressure
+  - Fuel_Pressure
+  - Coolant_Pressure
+  - Lub_Oil_Temperature
+  - Coolant_Temperature
 ---
 
 # Model Card for Model ID