Half circle filled data
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.
data(hacide)
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.trainIncludes 1000 rows and 20 positive examples.
hacide.testIncludes 250 rows and 5 positive examples.
Data have been simulated as follows:
if cls = 0 then (x1, x2)\sim \mathbf{N}_{2} ≤ft(\mathbf{0}_{2}, (1/4, 1) \mathbf{I}_{2}\right)
if cls = 1 then (x1, x2)\sim \mathbf{N}_{2} ≤ft(\mathbf{0}_{2}, \mathbf{I}_{2}\right) \cap ≤ft\|\mathbf{x}\right\|^2>4 \cap x_2 ≤q 0
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.
data(hacide) summary(hacide.train) summary(hacide.test)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.