Description Usage Format Details Source References Examples
Credit
contains credit card applications. The dataset has a good mix of continuous and categorical features.
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A data frame with 653 observations, 15 predictors and a binary criterion variable called Response
All observations with missing values are deleted.
Frank, A. and Asuncion, A. (2010). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
The original dataset can be downloaded at http://archive.ics.uci.edu/ml/datasets/Credit+Approval
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aCRM 0.1.1
Type aCRMNews() to see the change log
'data.frame': 653 obs. of 16 variables:
$ V1 : Factor w/ 2 levels "a","b": 2 1 1 2 2 2 2 1 2 2 ...
$ V2 : num 30.8 58.7 24.5 27.8 20.2 ...
$ V3 : num 0 4.46 0.5 1.54 5.62 ...
$ V4 : Factor w/ 3 levels "l","u","y": 2 2 2 2 2 2 2 2 3 3 ...
$ V5 : Factor w/ 3 levels "g","gg","p": 1 1 1 1 1 1 1 1 3 3 ...
$ V6 : Factor w/ 14 levels "aa","c","cc",..: 13 11 11 13 13 10 12 3 9 13 ...
$ V7 : Factor w/ 9 levels "bb","dd","ff",..: 8 4 4 8 8 8 4 8 4 8 ...
$ V8 : num 1.25 3.04 1.5 3.75 1.71 ...
$ V9 : Factor w/ 2 levels "f","t": 2 2 2 2 2 2 2 2 2 2 ...
$ V10 : Factor w/ 2 levels "f","t": 2 2 1 2 1 1 1 1 1 1 ...
$ V11 : int 1 6 0 5 0 0 0 0 0 0 ...
$ V12 : Factor w/ 2 levels "f","t": 1 1 1 2 1 2 2 1 1 2 ...
$ V13 : Factor w/ 3 levels "g","p","s": 1 1 1 1 3 1 1 1 1 1 ...
$ V14 : int 202 43 280 100 120 360 164 80 180 52 ...
$ V15 : int 0 560 824 3 0 0 31285 1349 314 1442 ...
$ Response: Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
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