Parameters

rulekit.operator.Data

alias of type Union[numpy.ndarray, pandas.core.frame.DataFrame, List]

Contains constants and classes for specyfing models parameters

class rulekit.params.Measures(value)

Bases: enum.Enum

Enum for different measures used during induction, pruning and voting.

You can ream more about each measure and its implementation #41-rule-quality>`_ . `here <https://github.com/adaa-polsl/RuleKit/wiki/4-Quality-and-evaluation

Accuracy = 'Accuracy'

BinaryEntropy = 'BinaryEntropy'

C1 = 'C1'

C2 = 'C2'

CFoil = 'CFoil'

CN2Significnce = 'CN2Significnce'

Correlation = 'Correlation'

Coverage = 'Coverage'

FBayesianConfirmation = 'FBayesianConfirmation'

FMeasure = 'FMeasure'

FullCoverage = 'FullCoverage'

GeoRSS = 'GeoRSS'

GMeasure = 'GMeasure'

InformationGain = 'InformationGain'

JMeasure = 'JMeasure'

Kappa = 'Kappa'

Klosgen = 'Klosgen'

Laplace = 'Laplace'

Lift = 'Lift'

LogicalSufficiency = 'LogicalSufficiency'

MEstimate = 'MEstimate'

MutualSupport = 'MutualSupport'

Novelty = 'Novelty'

OddsRatio = 'OddsRatio'

OneWaySupport = 'OneWaySupport'

PawlakDependencyFactor = 'PawlakDependencyFactor'

Q2 = 'Q2'

Precision = 'Precision'

RelativeRisk = 'RelativeRisk'

Ripper = 'Ripper'

RuleInterest = 'RuleInterest'

RSS = 'RSS'

SBayesian = 'SBayesian'

Sensitivity = 'Sensitivity'

Specificity = 'Specificity'

TwoWaySupport = 'TwoWaySupport'

WeightedLaplace = 'WeightedLaplace'

WeightedRelativeAccuracy = 'WeightedRelativeAccuracy'

YAILS = 'YAILS'

LogRank = 'LogRank'