I am using Probabilistic Neural Networks (NEWPNN) to classify samples into one of four possible classes. I notice that although the results are accurate, for some samples the probability is very low (rows 1 to 3 in the dataset below). Columns 1 to 4 are the probabilities of the sample belonging to each one of the four classes. Column 5 is the PNN final classification and column 6 the sample's original class.
0.2500 0.2500 0.2500 0.2500 1.0000 1.0000 0.2500 0.2500 0.2500 0.2500 1.0000 1.00000.2501 0.2500 0.2500 0.2500 1.0000 1.00000.8596 0.0468 0.0468 0.0468 1.0000 1.00000.9932 0.0023 0.0023 0.0023 1.0000 1.00000.8760 0.0413 0.0413 0.0413 1.0000 1.0000
Notice that the probabilities are all very close (~0.25) for the first few observations.
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