H2O Cross Validation Loop Start

This node is the first in a cross validation loop. At the end of the loop there can be an arbitrary other loop, for example to collect scoring results. All nodes in between these two node are executed as many times as iterations should be performed.

Options

Number of folds

The number of cross validation iterations that should be performed (nfolds) .

Modulo

If checked, the partitions are based on row-index%folds. Suitable for i.i.d. data.

Stratified

If checked, the partitions are sampled randomly but the class distribution from the column selected below is maintained.

Random

If checked, the partitions are sampled randomly from the input table, otherwise it is cut into consecutive pieces.

Class column name

The name of the column with the class labels for stratified sampling.

Seed

For random and stratified sampling you can choose a seed for the random number generator in order to get reproducible results. Otherwise you get different partitions every time.

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Workflows

• 04_H2O_CrossvalidationKNIME Hub
• 04_H2O_CrossvalidationKNIME Forum
• 04_H2O_Crossvalidation_SFKNIME Forum
• 07_Customer_prediction_with_H2OKNIME Hub
• 07_KNIMEでのH2Oによる顧客予測KNIME Hub
• Show all 15 workflows

Links

• Splitting data into partsby mlauber71 on 2019-01-01

  forum.knime.com/p/52268

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