Rare card
Kernel density estimation
- Value
- 50 W
- Attack
- 258
- Defence
- 207
- Players
- 1
In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.
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