Twenty-two decision tree, nine statistical, and two neural network algorithms are compared
on thirty-two datasets in terms of classification accuracy, training time, and (in the case of
trees) number of leaves. Classification accuracy is measured by mean error rate and mean
rank of error rate. Both criteria place a statistical, spline-based, algorithm called
POLYCLSSS at the top, although it is not statistically significantly different from twenty other
algorithms. Another statistical algorithm, logistic regression, is second with respect to the two …

Twenty-two decision tree, nine statistical, and two neural network algorithms are compared
on thirty-two datasets in terms of classi cation accuracy, training time, and (in the case of
trees) number of leaves. Classi cation accuracy is measured by mean error rate and mean
rank of error rate. Both criteria place a statistical, spline-based, algorithm called
POLYCLASS at the top, although it is not statistically signi cantly di erent from twenty other
algorithms. Another statistical algorithm, logistic regression, is second and third with respect …