FranciscoLozDataScience commited on
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b486903
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1 Parent(s): 86e526c

added metric section

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  1. app.py +7 -0
app.py CHANGED
@@ -138,6 +138,13 @@ def load_interface():
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  of the prediction based on the longitude and latitude inputs. The predicted UHI index and the status (Urban Heat Island or Cooler Region) will be displayed.\n
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  >NOTE: The longitude and latitude inputs are used to identify the location of the prediction, but they do not affect the UHI index prediction.\n
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  ## Repository
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  The code for this project is available on GitHub. It includes our Jupyter notebooks and Final Report.\n
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  [Project Repo](https://github.com/FranciscoLozCoding/cooling_with_code)
 
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  of the prediction based on the longitude and latitude inputs. The predicted UHI index and the status (Urban Heat Island or Cooler Region) will be displayed.\n
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  >NOTE: The longitude and latitude inputs are used to identify the location of the prediction, but they do not affect the UHI index prediction.\n
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+ ## Metrics
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+ For a quick look of our model performance, here is its r2 score:
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+ ```
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+ Train r2 score: 0.9853446142702935
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+ Test r2 score: 0.9625555699901284
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+ ```
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+
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  ## Repository
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  The code for this project is available on GitHub. It includes our Jupyter notebooks and Final Report.\n
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  [Project Repo](https://github.com/FranciscoLozCoding/cooling_with_code)