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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