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law-school-admission-bianry

law-school-admission-bianry

active ARFF Publicly available Visibility: public Uploaded 30-05-2022 by Florian Pfisterer
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  • Earth Science Machine Learning
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Law School Admissions (Binarized) Survey among students attending law school in the U.S. in 1991. The dataset was obtained from the R-package fairml. The response variable has been changed to a binary version: Whether ugpa is greater than 3. The race1 variables has been binarized to labels white and non-white.

12 features

ugpagt3 (target)numeric2 unique values
0 missing
agenumeric57 unique values
0 missing
decile1numeric10 unique values
0 missing
decile3numeric10 unique values
0 missing
fam_incnumeric5 unique values
0 missing
lsatnumeric114 unique values
0 missing
ugpanumeric27 unique values
0 missing
gendernominal2 unique values
0 missing
race1nominal2 unique values
0 missing
clusternominal6 unique values
0 missing
fulltimenominal2 unique values
0 missing
barnominal2 unique values
0 missing
Show all 12 features

19 properties

NumberOfInstances
20800
Number of instances (rows) of the dataset.
NumberOfFeatures
12
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
7
Number of numeric attributes.
NumberOfSymbolicFeatures
5
Number of nominal attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
41.67
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
4
Number of binary attributes.
PercentageOfBinaryFeatures
33.33
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.56
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
58.33
Percentage of numeric attributes.
Show all 19 properties

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