Sentence examples for split criteria from inspiring English sources

The pruning can be done either by stopping the splitting process once some "goodness of split" criteria have failed to be met or when the tree is complete (i.e. when all data has been clustered), nodes and branches need to be pruned.

We compared different implementations of random forests with different split criteria and found that bivariate node-splitting random survival forests with log-rank test is among the best.

This criterion is more robust to noise than the split criteria of the classic decision trees.

We compare our method with several machine learning methods and various node split criteria using several real data sets.

Authors: Barros, Rodrigo C., de Carvalho, André C. P. L. F., Freitas, Alex A. Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values.

Among the variables included in the RPA, age was omitted from the split criteria according to the order of priority.

Firstly, a split criterion is proposed for building cost-time sensitive decision trees, aiming at possibly reducing the intangible cost.

This fact is explained in this paper in terms of the split criterion used in the new procedure of a special type of CDT, called Credal-C4.5.

Besides it uses a new split criterion, called Imprecise Information Gain Ratio, applying uncertainty measures on convex sets of probability distributions (credal sets).

Split criterion is Gini's diversity index; maximum number of splits is 4.   2.

Split criterion is Gini's diversity index; maximum number of splits is 4. Decision tree (medium).