Class “SDTaskConfig” — A Set of Configuration Settings

Description

A Set of Configuration Settings for the Subgroup and Pattern Mining Algorithms

Objects from the Class

Objects are created by calls of the form new("SDTaskConfig", ...).

Slots

qf:

A quality function; one of: Binomial-Test bin, Chi-Square-Test chi2, Lift lift, Piatetsky-Shapiro ps, Gain gain, Relative Gain relgain, Weighted Relative Accuracy wracc.

method:

A mining method; one of Beam-Search beam, BSD bsd, SD-Map sdmap, SD-Map enabling internal disjunctions sdmap-dis.

k:

The maximum number (top-k) of patterns to discover.

minqual

The minimal quality.

minsize

The minimal size of a subgroup (minimal coverage of database records).

maxlen

The maximal description length of a pattern, i.e., the maximal number of conjunctions.

nodefaults

Ignore default values, i.e., do not include the respective first value of each attribute

relfilter

Controls, whether irrelevant patterns are filtered during pattern mining; negatively impacts performance.

postfilter

Controls, whether a post-processing filter is applied; one of: Minimum Improvement (Global) min-improve-global, checks the patterns against all possible generalizations, Minimum Improvement (Pattern Set) min-improve-set, checks the patterns against all their generalizations in the result set, Relevancy Filter relevancy, removes patterns that are strictly irrlevant, Significant Improvement (Global) sig-improve-global, removes patterns that do not significantly improve (0.05 level) w.r.t. all their possible generalizations, Significant Improvement (Set) sig-improve-set, removes patterns that do not significantly improve (0.05 level) w.r.t. all generalizations in the result set.

attributes

The list of attributes to consider for mining. Either a vector of attribute names, or NULL, which includes all attributes.

See Also

DiscoverSubgroups. DiscoverSubgroupsByTask CreateSDTask

Results