Predictive Modeling for Food Delivery Customer Ratings

Jul 28, 2025
Predictive Modeling for Food Delivery Customer Ratings | Min Yi Ho's Portfolio | Gengen Predictive Modeling for Food Delivery Customer Ratings | Min Yi Ho's Portfolio | Gengen

What I Did:

  • Built and compared 4 predictive models (CART, ANN, CHAID, RF) to identify key drivers of high customer ratings (≥4 stars) for food delivery services.
  • Cleaned and preprocessed data (3,639 → 2,779 records), handled class imbalance with SMOTE, and optimized model performance.

Key Results:

  • CHAID model achieved 86.3% accuracy, revealing ASAP pickup availability and delivery speed as top predictors.
  • Actionable insights: Restaurants with ASAP pickup had 82.3% confidence of high ratings.

Tools: IBM SPSS Modeler, Excel | Skills: Predictive Modeling, Data Cleaning, Feature Importance