XOR_data: Synthetic XOR Pattern Dataset

In detectXOR: XOR Pattern Detection and Visualization

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)

detectXOR documentation built on June 28, 2025, 1:08 a.m.