entropy | R Documentation |
A global measure of uncertainty with values close to zero implying a good model. Entropy is a global measure of classification uncertainty, which takes into account all N × K posterior probabilities. The entropy of a model is defined as which takes values from [0,infinity), with higher values indicating a larger amount of uncertainty. Entropy values closest to 0 correspond to models with least classification uncertainty.
entropy(p)
p |
is the posterior probabilities of assignment of dimensions, K columns and N rows |
Entropy value between (0, infinity)
## Not run: entropy(p)
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