credit_approval: Credit Approval Data Set

In haven-jeon/BOPR: Bayesian online learning scheme for probit regression with R

Description

This data concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the data. This dataset is interesting because there is a good mix of attributes – continuous, nominal with small numbers of values, and nominal with larger numbers of values. There are also a few missing values.

Usage

credit_approval

Format

A data frame with 690 rows and 15 variables:

A1

b,a

A2

continuous

A3

continuous

A4

u, y, l, t.

A5

g, p, gg.

A6

c, d, cc, i, j, k, m, r, q, w, x, e, aa, ff.

A7

v, h, bb, j, n, z, dd, ff, o.

A8

continuous

A9

t,f

A10

t,f

A11

continuous

A12

t,f

A13

g, p, s.

A14

continuous

A15

continuous

A16

1,-1 ; class

Source

https://archive.ics.uci.edu/ml/datasets/Credit+Approval

haven-jeon/BOPR documentation built on May 17, 2019, 3:05 p.m.