Performs K-fold cross validation.
Samples are divided into K groups and each group is classified. The ratio of correctly classified samples to total samples is given as the output cross validation accuracy.
Reference to the classifier session on which the node operates.
Number of groups in the cross validation.
Error conditions that occur before this node runs.
The node responds to this input according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Default: No error
Reference to the classifier session the node creates.
Cross validation accuracy of the trained samples.
Valid values range from 1 to 1000. Accuracy is calculated using the following formula: 1000(Number of samples classified correctly/Total samples).
Error information.
The node produces this output according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Where This Node Can Run:
Desktop OS: Windows
FPGA: Not supported
Web Server: Not supported in VIs that run in a web application