classification_poly: A dataset containing classification algorithm performance...
In airt: Evaluation of Algorithm Collections Using Item Response Theory
classification_poly R Documentation
A dataset containing classification algorithm performance data in a polytomous format.
Description
This dataset contains the performance of 10 classification algorithms on 235 datasets discussed in the paper Instance Spaces for Machine Learning Classification by M. A. Munoz, L. Villanova, D. Baatar, and K. A. Smith-Miles .
Usage
classification_poly
Format
A dataframe of 235 x 10 dimensions.
- Dimension 1
Each row contains the algorithm performance of a dataset on 10 classification algorithms.
- Dimensions 2
Each column contains the algorithm performance of a single algorithm.
Source
airt documentation built on Aug. 8, 2023, 5:12 p.m.
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| classification_poly | R Documentation |
A dataset containing classification algorithm performance data in a polytomous format.
Description
This dataset contains the performance of 10 classification algorithms on 235 datasets discussed in the paper Instance Spaces for Machine Learning Classification by M. A. Munoz, L. Villanova, D. Baatar, and K. A. Smith-Miles .
Usage
classification_poly
Format
A dataframe of 235 x 10 dimensions.
- Dimension 1
Each row contains the algorithm performance of a dataset on 10 classification algorithms.
- Dimensions 2
Each column contains the algorithm performance of a single algorithm.
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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