Gaussian Decision Boundary
Explore Bayesian classification with independent X/Y variances.
Reset Parameters
Class A
Mean X:
-1.5
Mean Y:
0.0
Var X:
1.0
Var Y:
1.0
Class B
Mean X:
1.5
Mean Y:
0.0
Var X:
1.5
Var Y:
1.5
Adjusting variances independently creates elliptical distributions. The decision boundary represents points where $P(Class A | x) = P(Class B | x)$, assuming equal priors.
Class A Area
Class B Area
Decision Boundary