TMwR.bib

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@book{wickham2016,
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@book{apm,
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@book{Goodfellow,
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@book{bookdown,
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@misc{abrams2003,
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@article{breiman2001,
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@book{Gentleman2005,
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@book{bolstad2004,
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@book{fes,
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@book{mcdonald2009,
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@misc{mangiafico2015,
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@article{Aboumatar2019,
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@article{pvalue,
author = {R Wasserstein and N Lazar},
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@book{mcelreath2020statistical,
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@book{kruschke2014doing,
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@book{faraway2016extending,
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@article{breiman2001random,
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}

@book{davison1997bootstrap,
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@book{hyndman2018forecasting,
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@article{xu2001monte,
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@article{spicer2018,
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@article{pvalue,
  author = {Wasserstein, R and Lazar, N},
  title = {The {ASA} statement on p-values: Context, process, and pPurpose},
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}

@article{HandTill,
	Author = {Hand, D and Till, R},
	Journal = {Machine Learning},
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	Volume = {45},
	Year = {2001},
}

@article{CraigSchapiro,
    author = {Craig--Schapiro, R and Kuhn, M and Xiong, C and Pickering, E  and Liu, J and Misko, T and Perrin, R and Bales, K and Soares, H and Fagan, A and Holtzman, D},
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@Book{HosmerLemeshow,
  author	= {D Hosmer and Sy Lemeshow},
  title		= {Applied Logistic Regression},
  publisher	= {John Wiley and Sons},
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} 

@misc{OpitzBurst,
    title={Macro F1 and Macro F1},
    author={J Opitz and S Burst},
    year={2019},
    eprint={1911.03347},
    archivePrefix={arXiv}
}

@inproceedings{wu2017unified,
  title={A unified view of multi-label performance measures},
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  booktitle={International Conference on Machine Learning},
  pages={3780--3788},
  year={2017}
}


@article{Kim:2009p4370,
author = {Jungsu, K and Basak, D and Holtzman, D},
journal = {Neuron},
title = {The role of Apolipoprotein {E} in {Alzheimer's} disease},
number = {3},
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volume = {63},
year = {2009}
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@article{FriedmanGFA,
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    Journal = {Annals of Statistics},
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    Pages = {1189--1232},
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}


@misc{thomas2020problem,
    title={The Problem with Metrics is a Fundamental Problem for AI},
    author={R Thomas and D Uminsky},
    year={2020},
    eprint={2002.08512},
    archivePrefix={arXiv}
}

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@misc{wundervald2020generalizing,
    title={Generalizing Gain Penalization for Feature Selection in Tree-based Models},
    author={B Wundervald and A Parnell and K Domijan},
    year={2020},
    eprint={2006.07515},
    archivePrefix={arXiv}
}

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@article{Hill,
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@misc{kuhn2014futility,
    title={Futility Analysis in the Cross-Validation of Machine Learning Models},
    author={Max Kuhn},
    year={2014},
    eprint={1405.6974},
    archivePrefix={arXiv}
}

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@misc{frazier2018tutorial,
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    year={2018},
    eprint={1807.02811},
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@article{SCHULZ20181,
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@article{wolpert1992stacked,
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@misc{mcinnes2020umap,
      title={UMAP: Uniform manifold approximation and projection for dimension reduction}, 
      author={McInnes, L, and Healy, J and Melville, J},
      year={2020},
      eprint={1802.03426}
}

@article{beans,
title = {Multiclass classification of dry beans using computer vision and machine learning techniques},
journal = {Computers and Electronics in Agriculture},
volume = {174},
pages = {105507},
year = {2020},
issn = {0168-1699},
author = {Koklu, M and Ozkan, IA}
}

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title = {Determination of wheat kernel morphological variation by digital image analysis: {I}. {Variation} in Eastern Canadian milling quality wheats},
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@incollection{Mingqiang08,
author = {Y Mingqiang and K Kidiyo and R Joseph},
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publisher = {IntechOpen},
address = {Rijeka},
year = {2008},
editor = {PY Yin},
chapter = {3},
doi = {10.5772/6237},
url = {https://doi.org/10.5772/6237}
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