Classification criterion functions for the adaptive wavelet algorithm

3 Classification criterion functions for the adaptive wavelet algorithm 

A eorrect classifieation rate is a discrete measure whose calculation is based upon which side of a decision boundary the observations lie. It does not reflect how close or how far away the observations lie from the decision boundary and hence how clear the assignments are made. It is still possible to have a high classification rate, where many assignments have lied close to 

Most probabilistic discriminatory measures have the basic form 

P(r xj(r)) denotes the posterior probability for the true class of Xj, since the notation Xj(r) indicates that the true class of Xj is class r. Another simple probabilistic measure results when the appreciation score is 

The associated probabilistic measure is the average probability that an object is assigned to the correct class  

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