R: Aggregation methods.

aggregations {mlr} | R Documentation

## Aggregation methods.

### Description

- test.mean
  Mean of performance values on test sets.

- test.sd
  Standard deviation of performance values on test sets.

- test.median
  Median of performance values on test sets.

- test.min
  Minimum of performance values on test sets.

- test.max
  Maximum of performance values on test sets.

- test.sum
  Sum of performance values on test sets.

- train.mean
  Mean of performance values on training sets.

- train.sd
  Standard deviation of performance values on training sets.

- train.median
  Median of performance values on training sets.

- train.min
  Minimum of performance values on training sets.

- train.max
  Maximum of performance values on training sets.

- train.sum
  Sum of performance values on training sets.

- b632
  Aggregation for B632 bootstrap.

- b632plus
  Aggregation for B632+ bootstrap.

- testgroup.mean
  Performance values on test sets are grouped according to resampling method. The mean for every group is calculated, then the mean of those means. Mainly used for repeated CV.

- testgroup.sd
  Similar to testgroup.mean - after the mean for every group is calculated, the standard deviation of those means is obtained. Mainly used for repeated CV.

- test.join
  Performance measure on joined test sets. This is especially useful for small sample sizes where unbalanced group sizes have a significant impact on the aggregation, especially for cross-validation test.join might make sense now. For the repeated CV, the performance is calculated on each repetition and then aggregated with the arithmetic mean.

### Usage

    test.mean

    test.sd

    test.median

    test.min

    test.max

    test.sum

    test.range

    test.rmse

    train.mean

    train.sd

    train.median

    train.min

    train.max

    train.sum

    train.range

    train.rmse

    b632

    b632plus

    testgroup.mean

    testgroup.sd

    test.join

### Format

None

### See Also

Aggregation

[Package mlr version 2.13 Index]