EPJ Data Science

Table 4 Representation of the features in the credit card approval dataset

From: Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach

Feature	Type	Values
A1	Nominal	a, b
A2	Continues	13.75 - 80.25
A3	Continues	0 - 28
A4	Nominal	u, y l, t
A5	Nominal	g, p, gg
A6	Nominal	c, d, cc, i, j, k, m, r, q, w, x, e, aa, ff
A7	Nominal	v, h, hbb, j, n, z, dd, ff, o
A8	Continues	0 - 28.5
A9	Nominal	t, f
A10	Nominal	t, f
A11	Continues	0 - 67
A12	Nominal	t, f
A13	Nominal	g, p, s
A14	Continues	0 - 2000
A15	Continues	0 - 100,000
Class	Nominal	+, −

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