Sentence examples for decision trees classifier from inspiring English sources

We trained a bagged decision trees classifier to classify candidate struts using features extracted from the images.

In the colon cancer dataset, all the classifiers give 65 88% classification accuracy, whereas EFS-MI yields high classification accuracy with decision trees classifier for all the compared individual feature selection methods.

A bagged decision trees classifier creates bootstrapped replicas of the training data set and separate decision trees are trained on each replica to create an ensemble.

Bagged decision trees classifier was used because it is less sensitive to noise as compared to standard decision tree, giving improved accuracy and stability.

As shown in Table 2, the EFS-MI gives higher classification accuracy than all other competing feature selection methods with KNN and decision trees classifiers.

However, learning from various data types was not beneficial for the LDA and Decision Trees classifiers.

A decision tree classifier model was used to classify the watershed into potentially drained and undrained areas using land cover, soil drainage class, and surface slope data sets.

Cells were then classified as vimentin+or vimentin− using a decision tree classifier.

Then quantitative modeling design deployed decision tree classifier method.

Authorship analysis is then performed using a decision tree classifier.

Weka tool was used, J48 decision tree classifier was applied to construct the decision tree model.