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xehivs committed Dec 11, 2019
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23 changes: 23 additions & 0 deletions doc/ensembles.rst
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Classifier Ensembles
####################

An ensemble (also known as multiple classifier system or committee) consists of
a set of base classifiers whose predictions are combined to label new instances.
Combining classifiers have been proved to be an effective way of dividing
complex learning problems into sub-problems as well as improving predictive
accuracy.

diversity and combination

**Classifier ensemble diagram**

.. image:: plots/ensemble.png
:width: 650 px
:align: center

######################################
Chunk-based Ensembles for Data Streams
######################################


Chunk-Based Ensemble
--------------------
Expand All @@ -11,6 +29,11 @@ Weighted Aging Ensemble (WAE)
-----------------------------


#################################
Online Ensembles for Data Streams
#################################


Online Bagging (OB)
-------------------

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2 changes: 1 addition & 1 deletion doc/evaluators.rst
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Expand Up @@ -5,7 +5,7 @@ Stream Evaluators
To estimate prediction measures in the context of data streams with
strict computational requirements and concept drifts, the ``evaluators`` module
of the ``stream-learn`` package implements two main estimation techniques
described in the literature in their block-based versions.
described in the literature in their batch-based versions.

Test-Then-Train Evaluator
=========================
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6 changes: 3 additions & 3 deletions doc/install.rst
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###########
Instalation
###########
############
Installation
############

Prerequisites
=============
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11 changes: 11 additions & 0 deletions references_ensembles.bib
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Expand Up @@ -37,3 +37,14 @@ @INPROCEEDINGS{Oza2005
pages={2340-2345 Vol. 3},
ISSN={1062-922X},
month={Oct},}


@article{Krawczyk2017,
author = {Krawczyk, Bartosz and Minku, Leandro and Gama, João and Stefanowski, Jerzy and Wozniak, Michal},
year = {2017},
month = {09},
pages = {132–156},
title = {Ensemble learning for data stream analysis: A survey},
volume = {37},
journal = {Information Fusion},
}

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