XOR_data {detectXOR} | R Documentation |
Synthetic XOR Pattern Dataset
Description
Simulated classification dataset containing 400 observations with 5 features demonstrating XOR patterns, linear class differences, and random noise.
Usage
data("XOR_data")
Format
A data frame with 400 rows and 6 variables:
- class
Binary class labels (1 or 2)
- Variable_A
Normally distributed with subtle class difference (delta mu=0.25)
- Variable_B
High-variance normal distribution (sigma=3) with moderate class separation (delta mu=-0.7)
- Variable_C
XOR pattern component 1 (mu=3 vs 10 between classes)
- Variable_D
XOR pattern component 2 (mu=3 vs 10 between classes)
- Variable_E
Uniform noise (1-10)
Source
Synthetic data generated with rnorm() and runif()
Examples
data(XOR_data)
str(XOR_data)
summary(XOR_data)
[Package detectXOR version 0.1.0 Index]