Properties that can be configured for the 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) algorithm must be at least 4
rows.
- Creating models using the IQR (Inter
Quartile Range) algorithm is not supported.
Inter Quartile Range 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.
|
| Feature |
Select the input column with which you want to perform the
analysis. |
| 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.
- Stop: The algorithm stops the execution if a value is
missing in the independent column or the dependent
column.
|
| 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. |