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Leave Some Out

Leave Some Out

Leave Some Out is used to validate a network.   Example rows or subsets of examples are removed from the training set and used for validating.   After some optional preparation that allows some row types to be excluded all but the excluded example rows are changed to training types.   One subset or a random number of example rows is then selected and changed to validating types.   The training rows are then used to train the network without the currently selected subset of validating rows. The selected subset of validating rows is then used for validation.   The process is repeated until all subsets have been used for validating once.   After the process is completed a report is produced showing the validating and training results. The report also contains the Diagnostic Array data if it available.

 

 

1 . Example RowsExample Rows

Example Rows

The total number of example rows in the Grid after the optional preparation.

 

2 . Sequential selectionSequential selection

Sequential selection

Select subsets of example rows for validating starting at the first example row in each subset.   Every subset will contain the same number of rows.

 

3 . Random selectionRandom selection

Random selection

Select each subset of rows for validating starting at a randomly selected example row.   Every subset will contain the same number of rows.

 

 

4 . Random row selectionRandom row selection

Random row selection

Select rows at random for validating up to the number set.

 

5 . SelectionsSelections

Selections

The number of times to select subsets or random rows for validating.

 

 

6 . Maximum rowsMaximum rows

Maximum rows

The maximum number of rows to select randomly for validating.

 

7 . OKOK

OK

Click to accept the settings and close the dialog.

 

 

8 . CancelCancel

Cancel

Click to close the dialog.

 

 

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