Dynamic Pricing Model - Comprehensive Analysis

Train a range of regression models, view metrics, selection of best models, coefficients, and make custom predictions.

Scatter Plot

Actual vs Predicted Plot

MAE Plot

R² Plot

Coefficient Progression

Regression Equation

Feature Importance (Useful vs Non-Useful)

Number_of_Riders (Numerical, e.g., 60.7475)

Number_of_Drivers (Numerical, e.g., 27.5625)

Number_of_Past_Rides (Numerical, e.g., 49.8525)

Average_Ratings (Numerical, e.g., 4.2613125)

Expected_Ride_Duration (Numerical, e.g., 99.70125)

Location_Category_Suburban (Categorical (One-hot), e.g., 0)

Location_Category_Urban (Categorical (One-hot), e.g., 0)

Customer_Loyalty_Status_Regular (Categorical (One-hot), e.g., 0)

Customer_Loyalty_Status_Silver (Categorical (One-hot), e.g., 0)

Time_of_Booking_Evening (Categorical (One-hot), e.g., 0)

Time_of_Booking_Morning (Categorical (One-hot), e.g., 0)

Time_of_Booking_Night (Categorical (One-hot), e.g., 0)

Vehicle_Type_Premium (Categorical (One-hot), e.g., 0)

Result