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We present experimental results of comparing the modified K-nearest neighbor (MkNN) algorithm with support vector machine (SVM) in the prediction of condition numbers of sparse matrices. Condition number of a matrix is an important measure in numerical analysis and linear algebra. However, the direct computation of the condition number of a matrix is very expensive in terms of CPU and memory cost,...
Naive Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged one-dependence estimators, simply AODE, is a recently proposed semi-naive Bayes algorithm and demonstrates significantly high classification accuracy at a modest cost. In many data mining applications, however, accurate probability estimation is more desirable...
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