CF-Miner Results

The CF-Miner (Category Fishery Miner) discovers rules that describe how the distribution of a target categorical attribute shifts under specific antecedent conditions. It is particularly useful for finding circumstances that boost or suppress the occurrence of a particular category within a target attribute.

Run Summary

At the top of the page, three execution statistics are shown:

Field	Description
Status	Whether the run completed successfully
Rules Found	Total number of rules discovered
Execution Time	How long the mining process took

The Run Configuration Details section is collapsible and shows the full task configuration used for this run.

Discovered Rules

The left panel lists all discovered rules in a scrollable table. Each rule is displayed as a colour-coded antecedent expression pointing to the target attribute. Click any rule to load its detail in the right panel.

Rule Detail

Selecting a rule updates the Rule Detail panel on the right with the following components:

Target Summary

Shows the target attribute and the categories being analysed within it (e.g. Fatal, Serious, Slight for a Severity attribute).

Histogram (Rule)

A histogram showing the distribution of the target attribute's categories among records that match the rule's antecedent. This gives you the category breakdown specifically within the subgroup defined by the rule.

Each category bar shows its relative percentage and absolute count, making it straightforward to see which categories are over- or under-represented in the matched subgroup.

Statistical Indicators

Indicator	Description
Base	Number of records matching the antecedent
Relative Base	The antecedent's share of the total dataset
Min / Max	Minimum and maximum category counts within the rule
Rel Min / Rel Max	Relative (percentage) equivalents of min and max

Exporting Results

Use the Export data button in the top right to download the full result set. The Show Raw Output button displays the raw JSON response from the CleverMiner engine.