large.benchmark: Large benchmark
In collinleiber/benchmarkVis: Benchmark result visualisation
Description
A large example of a benchmark created with mlr. It was converted to the benchmarkVis table structure by the mlrBenchmarkWrapper.
The table consists of 18 columns and 210 rows.
Problems: iris, sonar, pid, ring, wave, breast.cancer.
Algorithms: lda, rpart, xgboost, randomForest, naiveBayes, ksvm, knn.
Replications: Subsample, Holdout, CV 5, LOO, Bootstrap.
The file is accessible through "large.benchmark".
References
See data/large.benchmark.RData
collinleiber/benchmarkVis documentation built on May 28, 2019, 8:23 a.m.
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Description
A large example of a benchmark created with mlr. It was converted to the benchmarkVis table structure by the mlrBenchmarkWrapper. The table consists of 18 columns and 210 rows. Problems: iris, sonar, pid, ring, wave, breast.cancer. Algorithms: lda, rpart, xgboost, randomForest, naiveBayes, ksvm, knn. Replications: Subsample, Holdout, CV 5, LOO, Bootstrap. The file is accessible through "large.benchmark".
References
See data/large.benchmark.RData
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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