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Plain Text - 15.5 KB - MD5: b0228eaab2747d799b932b5f044a1a34
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Jun 24, 2024 - NTNU – Norwegian University of Science and Technology
Sánchez Diaz, Xavier Fernando Cuauhtémoc, 2024, "Replication Data for: Regularized Feature Selection Landscapes: An Empirical Study of Multimodality", https://doi.org/10.18710/DQZKMX, DataverseNO, V1
This dataset contains replication data for the paper Regularized Feature Selection Landscapes: An Empirical Study of Multimodality. It contains accuracy tables of well-known classification datasets from The UCI Machine Learning Repository. These tables comprise the accuracy for a...
Plain Text - 4.7 KB - MD5: 921681341cd9c034651a548f5fbb34c4
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Dataset description
Comma Separated Values - 50.5 MB - MD5: c9e0d53e0a8406c03cec0b0d77ed6ca6
Data
Accuracy tables for the dataset: Hepatitis. Gong, G. (1988). Hepatitis. UCI Machine Learning Repository. https://doi.org/10.24432/C5Q59J. Licensed under CC BY 4.0.
Comma Separated Values - 13.5 KB - MD5: f388ee6fea33e839676cb65c0929cf2b
Data
Accuracy tables for the dataset: Seeds. Charytanowicz, M.; Niewczas, J.; Kulczycki, P.; Kowalski, P. and Lukasik, S. (2012). Seeds. UCI Machine Learning Repository. https://doi.org/10.24432/C5H30K. Licensed under CC BY 4.0.
Comma Separated Values - 13.4 KB - MD5: 78d7cc39d9348522814b72e8a501c0ff
Data
Accuracy tables for the dataset: Ecoli. Nakai, K. (1996). Ecoli. UCI Machine Learning Repository. https://doi.org/10.24432/C5388M. Licensed under CC BY 4.0.
Comma Separated Values - 55.1 KB - MD5: 12cfe75ba0075100855a210055b81c0b
Data
Accuracy tables for the dataset: Breast Cancer Wisconsin (Original). Wolberg, W. (1992). Breast Cancer Wisconsin (Original). UCI Machine Learning Repository. https://doi.org/10.24432/C5HP4Z. Licensed under CC BY 4.0.
Comma Separated Values - 27.1 KB - MD5: d0dff371e39e0c13e2ec18cf16c13dfb
Data
Accuracy tables for the dataset: Glass Identification. German, B. (1987). Glass Identification. UCI Machine Learning Repository. https://doi.org/10.24432/C5WW2P. Licensed under CC BY 4.0.
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