blob: 6864f9c1d7a61be2636e51ff5d245e0d24e570fb (
plain) (
tree)
|
|
mport joblib
import pandas as pd
# Load the model
model = joblib.load('model.pkl')
# Sample data for prediction
data = {
'Kilometers_Driven': [50000],
'Fuel_Type': ['Petrol'],
'Transmission': ['Manual'],
'Owner_Type': ['First'],
'Engine CC': [1197],
'Power': [82],
'Seats': [5],
'Car_Age': [6],
'Location': ['Mumbai']
}
# Convert to DataFrame
input_data = pd.DataFrame(data)
# Predict
predicted_mileage = model.predict(input_data)
print(f"Predicted Mileage: {predicted_mileage[0]:.2f} Km/L")
|