Changes to app file

app.py

@@ -2,6 +2,7 @@
 # import libraries.
 from sklearn.model_selection import train_test_split
 from sklearn.datasets import make_regression
+from sklearn.metrics import mean_squared_error,mean_absolute_error
 from keras.optimizers import SGD,Adam
 from keras.models import Sequential
 import matplotlib.pyplot as plt
@@ -130,4 +131,15 @@ if __name__ == '__main__':
             ax2.legend()
             
             # write the graph to the app.
-            st.pyplot(fig2)
+            st.pyplot(fig2)
+        
+        # Printing the Errors.
+        st.subheader('Errors')
+
+        # Calculating the MSE.
+        mse = mean_squared_error(y_test, y_hat, squared=False)
+        st.write('Root Mean Squared Error : ',mse)
+
+        # Calculating the MAE.
+        mae = mean_absolute_error(y_test, y_hat)
+        st.write('Mean Absolute Error : ',mae)