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. Author manuscript; available in PMC: 2024 Jan 1.
Published in final edited form as: J Comput Graph Stat. 2022 Dec 13;32(3):1097–1108. doi: 10.1080/10618600.2022.2146697

Table 1.

Summary of datasets, classifier choices, and cross validation settings used in numerical experiments.

Dataset Classes Samples Features Model Replicates Folds Train Test
synthetic 2 1000 500 Linear 10 5 800 200
synthetic-hard 2 1000 500 10 5 800 200
iris 3 150 4 10 3 120 30
bcw 2 683 9 10 3 546 137
splice 3 3176 180 10 5 2541 635
optdigits 10 5620 64 10 5 4496 1124
letters 26 20000 16 1 5 16000 4000
TCGA-HiSeq 5 801 20531 1 3 641 160
spiral 3 1000 2 Nonlinear 10 5 800 200
spiral-hard 3 1000 2 10 5 800 200