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Docker image: Random forest versus logistic regression: a large-scale benchmark experiment

Authors: Raphael Couronne; Philip Probst;

Docker image: Random forest versus logistic regression: a large-scale benchmark experiment

Abstract

This zenodo file contains the docker image used for the computations, for reproducible research. The docker image includes the code, which can also be found on github : https://github.com/RaphaelCouronne/Benchmark_RF-LR_OpenML. Release 1.0 is present in zenodo here : https://doi.org/10.5281/zenodo.804424 The docker image can also be found on dockerhub : shadoko/docker_benchmark_rf-lr

Keywords

Docker, Random Forest, benchmark, Logistic Regression

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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