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

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

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

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