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Simulated classification dataset containing 400 observations with 5 features demonstrating XOR patterns, linear class differences, and random noise.
data("XOR_data")
A data frame with 400 rows and 6 variables:
Binary class labels (1 or 2)
Normally distributed with subtle class difference (delta mu=0.25)
High-variance normal distribution (sigma=3) with moderate class separation (delta mu=-0.7)
XOR pattern component 1 (mu=3 vs 10 between classes)
XOR pattern component 2 (mu=3 vs 10 between classes)
Uniform noise (1-10)
data(XOR_data) str(XOR_data) summary(XOR_data)
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