ROSE (version 0.0-4)

hacide: Half circle filled data

Description

Simulated training and test set for imbalanced binary classification. The rare class may be described as a half circle depleted filled with the prevalent class, which is normally distributed and has elliptical contours.

Usage

data(hacide)

Format

Data represent 2 real features (denoted as x1, x2) and a binary label class (denoted as cls). Positive examples occur in about 2% of the data.

hacide.train

Includes 1000 rows and 20 positive examples.

hacide.test

Includes 250 rows and 5 positive examples.

Data have been simulated as follows:

-

if cls = 0 then (x1, x2)\(\sim \mathbf{N}_{2} \left(\mathbf{0}_{2}, (1/4, 1) \mathbf{I}_{2}\right)\)

-

if cls = 1 then (x1, x2)\(\sim \mathbf{N}_{2} \left(\mathbf{0}_{2}, \mathbf{I}_{2}\right) \cap \left\|\mathbf{x}\right\|^2>4 \cap x_2 \leq 0\)

References

Lunardon, N., Menardi, G., and Torelli, N. (2014). ROSE: a Package for Binary Imbalanced Learning. R Jorunal, 6:82--92.

Menardi, G. and Torelli, N. (2014). Training and assessing classification rules with imbalanced data. Data Mining and Knowledge Discovery, 28:92--122.

Examples

# NOT RUN {
data(hacide)
summary(hacide.train)
summary(hacide.test)
# }