Last updated: Jan 17, 2024
The Association Rules node is similar to the Apriori Node. However,
unlike Apriori, the Association Rules node can process list data. In addition, the Association Rules
node can be used with SPSS Analytic Server to process big data and take advantage of faster parallel
processing.
associationrulesnode properties |
Data type | Property description |
|---|---|---|
predictions
|
field | Fields in this list can only appear as a predictor of a rule |
conditions
|
[field1...fieldN] | Fields in this list can only appear as a condition of a rule |
max_rule_conditions
|
integer | The maximum number of conditions that can be included in a single rule. Minimum 1, maximum 9. |
max_rule_predictions
|
integer | The maximum number of predictions that can be included in a single rule. Minimum 1, maximum 5. |
max_num_rules
|
integer | The maximum number of rules that can be considered as part of rule building. Minimum 1, maximum 10,000. |
rule_criterion_top_n
|
Confidence
Rulesupport
Lift
Conditionsupport
Deployability
|
The rule criterion that determines the value by which the top "N" rules in the model are chosen. |
true_flags
|
Boolean | Setting as Y determines that only the true values for flag fields are considered during rule building. |
rule_criterion
|
Boolean | Setting as Y determines that the rule criterion values are used for excluding rules during model building. |
min_confidence
|
number | 0.1 to 100 - the percentage value for the minimum required confidence level for a rule produced by the model. If the model produces a rule with a confidence level less than the value specified here the rule is discarded. |
min_rule_support
|
number | 0.1 to 100 - the percentage value for the minimum required rule support for a rule produced by the model. If the model produces a rule with a rule support level less than the specified value the rule is discarded. |
min_condition_support
|
number | 0.1 to 100 - the percentage value for the minimum required condition support for a rule produced by the model. If the model produces a rule with a condition support level less than the specified value the rule is discarded. |
min_lift
|
integer | 1 to 10 - represents the minimum required lift for a rule produced by the model. If the model produces a rule with a lift level less than the specified value the rule is discarded. |
exclude_rules
|
Boolean | Used to select a list of related fields from which you do not want the model to create
rules.
Example: set :gsarsnode.exclude_rules = [[[field1,field2, field3]],[[field4,
field5]]] - where each list of fields separated by [] is a row in the table. |
num_bins
|
integer | Set the number of automatic bins that continuous fields are binned to. Minimum 2, maximum 10. |
max_list_length
|
integer | Applies to any list fields for which the maximum length is not known. Elements in the list up until the number specified here are included in the model build; any further elements are discarded. Minimum 1, maximum 100. |
output_confidence
|
Boolean | |
output_rule_support
|
Boolean | |
output_lift
|
Boolean | |
output_condition_support
|
Boolean | |
output_deployability
|
Boolean | |
rules_to_display
|
upto
all
|
The maximum number of rules to display in the output tables. |
display_upto
|
integer | If upto is set in rules_to_display, set the number of rules
to display in the output tables. Minimum 1. |
field_transformations
|
Boolean | |
records_summary
|
Boolean | |
rule_statistics
|
Boolean | |
most_frequent_values
|
Boolean | |
most_frequent_fields
|
Boolean | |
word_cloud
|
Boolean | |
word_cloud_sort
|
Confidence
Rulesupport
Lift
Conditionsupport
Deployability
|
|
word_cloud_display
|
integer | Minimum 1, maximum 20 |
max_predictions
|
integer | The maximum number of rules that can be applied to each input to the score. |
criterion
|
Confidence
Rulesupport
Lift
Conditionsupport
Deployability
|
Select the measure used to determine the strength of rules. |
allow_repeats
|
Boolean | Determine whether rules with the same prediction are included in the score. |
check_input
|
NoPredictions
Predictions
NoCheck
|