Skip to content

Latest commit

 

History

History
27 lines (18 loc) · 929 Bytes

README.md

File metadata and controls

27 lines (18 loc) · 929 Bytes
Raw

SurvSHAP(t)

This repository contains data and code for the article:

M. Krzyziński, M. Spytek, H. Baniecki, P. Biecek. SurvSHAP(t): Time-dependent explanations of machine learning survival models. https://arxiv.org/abs/2208.11080.

Python version: 3.10.5

Methods

  • survshap directory contains the SurvSHAP(t) method implementation (NOTE: it can be installed as package - setup.py)
  • survlime.py is the SurvLIME method implementation

Data

  • data_generation.R is the code for synthetic censored data generation (for Experiments 1 and 2)
  • data directory contains the datasets used in experiments

Experiments

  • *.ipynb are notebooks with code of the conducted experiments
  • results directory contains results of the conducted experiments

Plots

  • plots.R is the code for creating Figures from the article
  • plots directory contains Figures in .pdf format