SurvSet: An open-source time-to-event dataset repository
E Drysdale - arXiv preprint arXiv:2203.03094, 2022 - arxiv.org
Time-to-event (T2E) analysis is a branch of statistics that models the duration of time it takes
for an event to occur. Such events can include outcomes like death, unemployment, or
product failure. Most modern machine learning (ML) algorithms, like decision trees and
kernel methods, are supported for T2E modelling with data science software (python and R).
To complement these developments, SurvSet is the first open-source T2E dataset repository
designed for a rapid benchmarking of ML algorithms and statistical methods. The data in …
for an event to occur. Such events can include outcomes like death, unemployment, or
product failure. Most modern machine learning (ML) algorithms, like decision trees and
kernel methods, are supported for T2E modelling with data science software (python and R).
To complement these developments, SurvSet is the first open-source T2E dataset repository
designed for a rapid benchmarking of ML algorithms and statistical methods. The data in …
以上显示的是最相近的搜索结果。 查看全部搜索结果