Sentence examples for build a decision tree from inspiring English sources

A subset of these typical locations was then employed to build a decision tree and to predict individual soil types in the whole study area, using a set of 21 environmental covariates.

To build a decision tree from this kind of data, we must consider how to classify data so that the class label can be as specific as possible while also ensuring the highest possible accuracy of the prediction.

Assume we intend to build a decision tree with L leaves.

To build a decision tree, it basically chooses an attribute that provides the maximum degree of discrimination for target classes.

This information can be used to build a decision tree for taking decisions, which is built using the training data mentioned previously.

The ID3 algorithm can be used to build a decision tree for regression by changing Information Gain with Standard Deviation Reduction.

HSMM builds a decision tree and then trains a Gaussian distribution for each leaf of the tree.

First, we have built a decision tree for each pairwise comparison (Clusk×J48 and ClusEM×J48) over the previously described training set.

In other words, random tree classifier builds a decision tree based on random selection of data as well as by randomly choosing attributes in the data set.

In essence, this type of method builds a decision tree by recursively partitioning the set of compounds in the training set, as follows.

In essence, it is an iterative method that, at each iteration, builds a decision tree, selects the "best" leaf node (the one with the largest estimated accuracy) and creates a rule corresponding to the path from the root to that leaf node, throwing away the rest of the tree.