Sentence examples for builds a decision tree from inspiring English sources

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

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

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, 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.

It builds a decision tree from the training data using recursive partitioning of the space representing the predictive variables and based on the information gain ratio.

Basically, CART builds a decision tree by choosing the locally best discriminatory feature at each split step based on the Gini Index Impurity Function.

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.

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

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