Rule Confidence/Precision

The c_clause.RulesHandler can also be used for calculating and writing the statistics of the input rules, that is, the rule support and the overall number of body groundings, which is termed num_predictins within PyClause. Together they can be used to calculate the confidence of a rule which is also termed the precision in some contexts.

The explanations of the last section apply, i.e., the handlers calculate_predictions(rules, loader) function is invoked after loading the data with the laoder. The calculations are based on the loader’s data argument. Then the statistics can be obtained:

stats = rh.get_statistics()

The variable stats at position i contains a list with two elements, the first element is the number of predictions and the second element is the support, for input rule i.

They can also be written to a file. This will create a standard rule input file, i.e., tab separated statistics followed by the rule string on each line. It can directly be laoded into the loader as an input rule set.

rh.write_statistics(path="my-calculated-rules.txt")