Data Redundancy - Data Redundancy Tab

During the Data redundancy step, the following options are available on the Data redundancy tab.

Method. Use the options in this group box to select a method for measuring the correlation coefficient between a pair of inputs. The correlation coefficient is used as a criteria for deciding whether an input can be made redundant (excluded from the analysis) because another input contains the same information.

Correlation coefficient. Select this option button to use Pearson’s Product Moment Correlation Coefficient to test the strength of the relationship between continuous inputs and determine which variables are redundant (i.e., carry the same or similar information).

Spearman Rank Correlation R. Select this option button to use the Spearman Rank Correlation R statistic in determining redundancy among the continuous inputs. This nonparametric procedure is an approximation of Pearson’s correlation coefficient based on ranked values of the data.

None. Select this option button if you do not want to apply a redundancy criterion to the data.

Criterion value. Specify the value of the correlation coefficient that must exist between an input pair so one of them can be considered redundant.