Analyzing and Optimizing Results
When you have obtained your first results in Rulex, you will probably want to analyze and optimize them.
There are may tasks that allow you to do just this on the many structures produced by Rulex tasks.
For further information
Structures can also be converted into datasets and vice-versa to perform in-depth analysis operations.
For more information on this see the section Converting Structures
Inspects, manipulates and optimizes sets of rules.
Graphically displays rules, and retrieves information such as their importance, the relationship between classes of output attributes with respect to input attributes.
This task can only be used with rules generated by the Classification LLM task.
Graphically displays the importance of attributes within a class values within specific attributes.
Merges rules from multiple computations.
Improves the generation of predictive rules through a series of constraints.
Analyzes association and replacement rules, using filtering or sorting operations, computing statistics or creating plots.
The task is very similar to the Data Manager, but is designed specifically for replacement and association rules.
Replaces values that can be modified with new values to improve the outcome of the analysis.
Analyzes, filters and sorts frequent itemsets and sequences in a similar way to the Data manager task.
Computes and visualizes the performance of any classification method.
The task can be used with any classification task, but must be proceeded by an Apply Model task that tests the classification results on data.
Applies a model generated in Rulex on data.
Models can be made up of classification and regression rules and clusters, and the task can consequently be used after any classification, regression or clustering task.