Reference health
On the Optimal Size of Candidate Feature Set in Random forest
19/19 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
5 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 19 checked references that resolve
resolves10.1023/A:1007608224229
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
resolves10.1006/jcss.1997.1504
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
resolves10.1002/widm.1072
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
resolves10.1139/cjfr-2014-0562
Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance
The 5 references without a DOI — listed, not checked
no DOI — not checkedFreund, Y., and Schapire, R.E. (1996, January 3–6). Experiments With a New Boosting Algorithm. Proceedings of the Thirteenth International Conference on Machine Learning (ICML ’96), Bari, Italy.
no DOI — not checkedAsuncion, A., and Newman, D.J. (2007). UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Science. Available online: http://archive.ics.uci.edu/ml/index.php.
no DOI — not checkedLeisch, F., and Dimitriadou, E. (2010). Mlbench: Machine Learning Benchmark Problems, R Foundation for Statistical Computing. R package version 2.0-0.
no DOI — not checkedStatlib (2018, October 02). Datasets Archive. Available online: http://lib.stat.cmu.edu/datasets.
no DOI — not checkedBreiman, L., Friedman, J., Olshen, R., and Stone, C. (1984). Classification and Regression Trees, Chapman and Hall-Wadsworth.
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work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
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checked 2026-07-23 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
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