Comparative Study of IBLE and ID3 Algorithms for Learning From Examples
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Abstract
The learning performance of IBLE and ID3 algorithms is compared and studied with a great number of mass spectra.The average predictive accuracy is 93.96% for IBLE and 81.76% for ID3.The knowledge obtained by IBLE is quite identical with expert knowledge in the representation and contents.The reason for the above differences between IBLE and ID3 is discussed in theory.
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