madelon: Madelon data set: synthetic data from NIPS 2003 feature...
In sbfc: Selective Bayesian Forest Classifier
Description
Usage
Format
References
Description
This is a two-class classification problem.
The difficulty is that the problem is multivariate and highly non-linear.
Of the 500 features, 20 are real features, 480 are noise features.
Data set from UCI repository, discretized using median cutoffs.
Usage
1
Format
TrainXA matrix with 2000 rows and 500 columns.
TrainYA vector with 2000 rows.
TestXA matrix with 600 rows and 500 columns.
TestYA vector with 600 rows.
References
sbfc documentation built on Jan. 16, 2022, 1:06 a.m.
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Description Usage Format References
Description
This is a two-class classification problem.
The difficulty is that the problem is multivariate and highly non-linear.
Of the 500 features, 20 are real features, 480 are noise features.
Data set from UCI repository, discretized using median cutoffs.
Usage
1 |
Format
TrainXA matrix with 2000 rows and 500 columns.
TrainYA vector with 2000 rows.
TestXA matrix with 600 rows and 500 columns.
TestYA vector with 600 rows.
References
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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