Bootstrap Sampling

Samples the data using bootstrapping. Bootstrapping is a sampling technique, which randomly draws rows from the input with replacement. The output table will therefore likely contain duplicate rows while other rows are not present in the output at all.

Options

Sample size in %

The amount of samples relative to the original table.

Absolute sample size

The absolute amount of samples created.

Use random seed

You may enter a fixed seed here in order to get reproducible results upon re-execution. If you do not specify a seed, a new random seed is taken for each execution.

Append count of occurrences

Will append a column containing the number of times, this data is present in the bootstrap samples.

Append original RowID

Will append a column containing the original RowID in the bootstrap samples.

RowID separator

The bootstrap samples have a RowID that is composed of the original RowID, the separator and an incremented number for the copies of each row.

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