## Class YulesY

• All Implemented Interfaces:
InterestingnessMeasure

@Reference(authors="G. U. Yule",title="On the methods of measuring association between two attributes",booktitle="Journal of the Royal Statistical Society 75 (6)",url="https://doi.org/10.2307/2340126",bibkey="doi:10.2307/2340126") @Reference(authors="P.-N. Tan, V. Kumar, J. Srivastava",title="Selecting the right objective measure for association analysis",booktitle="Information Systems 29.4",url="https://doi.org/10.1016/S0306-4379(03)00072-3",bibkey="DBLP:journals/is/TanKS04")
public class YulesY
extends OddsRatio
Yule's Y interestingness measure.

$\frac{\sqrt{P(X \cap Y) P(\neg X \cap \neg Y)} - \sqrt{P(X \cap \neg Y) P(\neg X \cap Y)}}{\sqrt{P(X \cap Y) P(\neg X \cap \neg Y)} + \sqrt{P(X \cap \neg Y) P(\neg X \cap Y)}} = \frac{\sqrt{\alpha} - 1}{\sqrt{\alpha} + 1}$

Reference:

G. U. Yule
On the methods of measuring association between two attributes
Journal of the Royal Statistical Society 75 (6)

The use for association rule mining was studied in:

P.-N. Tan, V. Kumar, J. Srivastava
Selecting the right objective measure for association analysis
Information Systems 29.4

Since:
0.8.0
Author:
Abhishek Sharma
• ### Constructor Summary

Constructors
Constructor Description
YulesY()
Constructor.
• ### Method Summary

All Methods
Modifier and Type Method Description
double measure​(int t, int sX, int sY, int sXY)
Computes the value of the measure for a given support values
• ### Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
• ### Constructor Detail

• #### YulesY

public YulesY()
Constructor.
• ### Method Detail

• #### measure

public double measure​(int t,
int sX,
int sY,
int sXY)
Description copied from interface: InterestingnessMeasure
Computes the value of the measure for a given support values
Specified by:
measure in interface InterestingnessMeasure
Overrides:
measure in class OddsRatio
Parameters:
t - Total number of transaction
sX - Support of the antecedent
sY - Support of the consequent
sXY - Support of the union of antecedent and consequent
Returns:
value of the measure