HANA Inter Quartile Range Test

Properties that can be configured for the HANA Inter Quartile Range algorithm.

Syntax Use this algorithm to find outlying values based on the statistical distribution between the first and third quartiles.
Note
  • The input data for the IQR (Inter Quartile Range) Test algorithm must be at least 4 rows.
  • Creating models using the HANA Inter Quartile Range Test algorithm is not supported.
HANA Inter Quartile Range Test Properties
Table 1: Algorithm Properties
Property Description
Output Mode Select the mode in which you want to use the output of this algorithm.
Possible values:
  • Show Outliers: Adds a Boolean column to the input data specifying if the corresponding value is an outlier.
  • Remove Outliers: Removes outlying values from the input data.
Independent Column Select an input source column.
Missing Values Select the method for handling missing values.
Possible methods:
  • Ignore: The algorithm skips the records containing missing values in the independent or dependent columns.
  • Keep: The algorithm retains the records containing missing values during calculation.
Fence Coefficient Enter the deviation allowed for values from the inter quartile range. The default value is 1.5.
Predicted Column Name Enter a name for the new column that contains the predicted values.