egory Incremental Proximal Support Vector Machine Classifier (MIPSVM)

against the C4.5, Naive Bayes, Voted Perceptron, SMO, SVM and Logis-

tic Regression classifiers on several datasets. The datasets are from the

UCI Machine Learning repository, a Web Usage Log, and game usage

logs from the Zereal Massively Multiplayer Online Game Simulator.

than the other classifiers in all experiments. Based on pairwise T-test

comparisons of accuracy between MIPSVM and the other classifiers,

MIPSVM was found to be significantly more accurate than the Naive

Bayes classifier, and not having significantly different accuracy than the

other classifiers on the tested data sets.

sification accuracy of Multicategory Incremental Proximal Support Vector Ma-

chine classifier (MIPSVM) [8] against other classifiers on several datasets.

1/10 for all 1/10s in the dataset (i.e. 10 tests per dataset).For classifation ac-

curacy comparison, graphs of average accuracy percentage from 10-fold cross

validation are used, similar for time comparison

of 1 (hence not visible!), so if another classifier algorithm has a value of 10 it

means it is one order of magnitude (ten times) slower than MIPSVM.