# What is the distribution of the number of unique original items in a bootstrap sample

@article{Mendelson2016WhatIT, title={What is the distribution of the number of unique original items in a bootstrap sample}, author={Alex F. Mendelson and Maria A. Zuluaga and Brian F. Hutton and S{\'e}bastien Ourselin}, journal={arXiv: Machine Learning}, year={2016} }

Sampling with replacement occurs in many settings in machine learning, notably in the bagging ensemble technique and the .632+ validation scheme. The number of unique original items in a bootstrap sample can have an important role in the behaviour of prediction models learned on it. Indeed, there are uncontrived examples where duplicate items have no effect. The purpose of this report is to present the distribution of the number of unique original items in a bootstrap sample clearly and…

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