Properties that can be configured for the Nearest Neighbor Outlier
algorithm.
Syntax Use this algorithm to find
outlying values based on the number of neighbors (N) and the average distance
of values compared to their nearest N neighbors.
Note Creating models using the Nearest Neighbor
Outlier is not supported.
Nearest Neighbour Outlier 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.
|
| Neighborhood Count |
Enter the number of neighbors for finding distances. The default
value is 5. |
| Number of Outliers |
Enter the number of outliers, which you want to remove. |
| Predicted Column Name |
Enter a name for the new column that contains the predicted
values. |