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ModeChoice-ML-With-IMCP

Summary

This repository provides a model‑agnostic, uncertainty‑aware framework for transportation mode‑choice prediction via Inductive Mondrian Conformal Prediction (IMCP). While XGBoost is used as the base classifier in our experiments, the conformal wrapper is compatible with any predictive model.

Project Files

XGBoost-IMCP.ipynb

The core and main file containing the implementation of

  • xgboost algorithm
  • IMCP layer

question_types.json

Contains the question types used in the project.

About

This repository provides a model‑agnostic, uncertainty‑aware framework for transportation mode‑choice prediction via Inductive Mondrian Conformal Prediction (IMCP). While XGBoost is used as the base classifier in our experiments, the conformal wrapper is compatible with any predictive model.

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