test_benchmark_small: Benchmark Data
In RebeccaGroh/seqbtests: Sequential Bayesian Comparison of ML Algorithm Performances
Description
Format
Source
References
Description
Benchmark Data for multiple algorithms on a number of different data sets.
('test_benchmark_small')
Format
A data frame with 2500 rows and 5 variables:
- problem
Problem set, where the data is tested on
- algorithm
ML algorithms
- replication
Number of replication, generated through sub-sampling
- measure_col
Performance of algorithm measured with accuracy
Source
Time series classification and regression with mlR.
References
[seqbtests::test_benchmark_small]
RebeccaGroh/seqbtests documentation built on Nov. 17, 2021, 8:50 a.m.
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Description Format Source References
Description
Benchmark Data for multiple algorithms on a number of different data sets. ('test_benchmark_small')
Format
A data frame with 2500 rows and 5 variables:
- problem
Problem set, where the data is tested on
- algorithm
ML algorithms
- replication
Number of replication, generated through sub-sampling
- measure_col
Performance of algorithm measured with accuracy
Source
Time series classification and regression with mlR.
References
[seqbtests::test_benchmark_small]
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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