hot-fix

- prediction model's printed error rate was removed
- emojis replaced
- min milage is set to 1
- prediction model is trained on all data

app.py

@@ -40,9 +40,11 @@ model=LinearRegression()
 pipe=Pipeline(steps=[('preprocessor',preproccer),
                     ('model',model)])
 
-pipe.fit(X_train,y_train)
-y_pred=pipe.predict(X_test)
-mean_squared_error(y_test,y_pred)**0.5,r2_score(y_test,y_pred)
+## Train with all data
+
+pipe.fit(X,y)
+#y_pred=pipe.predict(X_test)
+#mean_squared_error(y_test,y_pred)**0.5,r2_score(y_test,y_pred)
 
 import streamlit as st
 def price(make,model,trim,mileage,car_type,cylinder,liter,doors,cruise,sound,leather):
@@ -63,12 +65,12 @@ def price(make,model,trim,mileage,car_type,cylinder,liter,doors,cruise,sound,lea
 	prediction=pipe.predict(input_data)[0]
 	return prediction
 
-st.title("Car Price Prediction :green_car: @sbgonenc")
+st.title("Car Price Prediction :racing_car: \n by @sbgonenc")
 st.write("Select Car Specs")
 make=st.selectbox("Brand",df['Make'].unique())
 model=st.selectbox("Model",df[df['Make']==make]['Model'].unique())
 trim=st.selectbox("Trim",df[(df['Make']==make) & (df['Model']==model)]['Trim'].unique())
-mileage=st.number_input("Milage",200,60000)
+mileage=st.number_input("Milage",1 ,60000)
 car_type=st.selectbox("Type",df[(df['Make']==make) & (df['Model']==model) & (df['Trim']==trim )]['Type'].unique())
 cylinder=st.selectbox("Cylinders",df['Cylinder'].unique())
 liter=st.number_input("Liter",1,6)
@@ -79,4 +81,4 @@ leather=st.radio("Leather",[True,False])
 if st.button("Prediction"):
 	pred=price(make,model,trim,mileage,car_type,cylinder,liter,doors,cruise,sound,leather)
 
-	st.write("11062024:Predicted Price :red_car:  $",round(pred[0],2))
+	st.write("Predicted Price :oncoming_automobile:  $",round(pred[0],2))