Sentence examples for decision tree classification from inspiring English sources
To map drainage classes efficiently, several analytical approaches, such as decision tree classification, can be used.
Decision tree classification can be improved by combining the predictions of several trees with boosting and bagging techniques.
In this system a decision tree classification is employed as a data mining technique.
A mapping method based on the Landsat data and a decision tree classification algorithm is described.
The resultant MODIS Chla and PC products were then used for cyanobacterial risk mapping with a decision tree classification model.
A decision tree classification analysis across the three modalities resulted in classification accuracy of 91.9% with FA, RD, and cortical thickness as key predictors.
To estimate the proportion of each land cover class for every pixel several decision tree classifications were combined to obtain class membership maps which were finally converted to a discrete map accompanied by a confidence estimate.
We analysed the effect of the descriptive variables on the occurrence and density of each species on the roadslopes, and we subsequently used decision trees (classification and regression trees) to analyse the combined effect of the different predictors considered.
They have also claimed in (Brown et al. 1997) that SVM is better than Naive Bayes and decision trees classification algorithms.
Major research centres involved in this field of research should move to adopt uniform international standards to refine existing models and adopt common usage decision trees, classifications and rationales.
This paper presents a method for incorporating prior probabilities in remote-sensing-based land cover classification using a supervised decision-tree classification algorithm.
