# habermanRules: Haberman survival rule set In SDEFSR: Subgroup Discovery with Evolutionary Fuzzy Systems in R

## Description

Rules generated by the SDIGA algorithm with the default parameters for the `haberman` dataset.

## Details

The rule set contains only two rules. One for each target variable

## Source

Haberman, S. J. (1976). Generalized Residuals for Log-Linear Models, Proceedings of the 9th International Biometrics Conference, Boston, pp. 104-122.

Landwehr, J. M., Pregibon, D., and Shoemaker, A. C. (1984), Graphical Models for Assessing Logistic Regression Models (with discussion), Journal of the American Statistical Association 79: 61-83.

Lo, W.-D. (1993). Logistic Regression Trees, PhD thesis, Department of Statistics, University of Wisconsin, Madison, WI.

## Examples

 `1` ``` habermanRules ```

### Example output

```[[1]]
[[1]]\$rule
[1] "IF Positive = Label 0 ( -26 , 0 , 26 ) THEN positive"

[[1]]\$qualityMeasures
[[1]]\$qualityMeasures\$nVars
[1] 2

[[1]]\$qualityMeasures\$Coverage
[1] 0.905738

[[1]]\$qualityMeasures\$Unusualness
[1] -0.016645

[[1]]\$qualityMeasures\$Significance
[1] 0.25544

[[1]]\$qualityMeasures\$FuzzySupport
[1] 0.194987

[[1]]\$qualityMeasures\$Support
[1] 0.217213

[[1]]\$qualityMeasures\$FuzzyConfidence
[1] 0.228482

[[1]]\$qualityMeasures\$Confidence
[1] 0.239819

[[1]]\$qualityMeasures\$TPr
[1] 0.828125

[[1]]\$qualityMeasures\$FPr
[1] 0.933333

[[2]]
[[2]]\$rule
[1] "IF Positive = Label 0 ( -26 , 0 , 26 ) THEN negative"

[[2]]\$qualityMeasures
[[2]]\$qualityMeasures\$nVars
[1] 2

[[2]]\$qualityMeasures\$Coverage
[1] 0.905738

[[2]]\$qualityMeasures\$Unusualness
[1] 0.024069

[[2]]\$qualityMeasures\$Significance
[1] 0.25544

[[2]]\$qualityMeasures\$FuzzySupport
[1] 0.658417

[[2]]\$qualityMeasures\$Support
[1] 0.688525

[[2]]\$qualityMeasures\$FuzzyConfidence
[1] 0.771518

[[2]]\$qualityMeasures\$Confidence
[1] 0.760181

[[2]]\$qualityMeasures\$TPr
[1] 0.933333

[[2]]\$qualityMeasures\$FPr
[1] 0.828125

attr(,"class")
[1] "SDEFSR_Rules"
```

SDEFSR documentation built on May 29, 2017, 10:59 a.m.