aggregations | R Documentation |

**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.

Aggregation

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