Survey data from registered nurse perceptions of psychosocial factors, mental, physical and total fatigue levels were analyzed using a tree-based Chi-Square Automatic Interaction Detection.
The model was performed utilising the Latent Gold Choice 4.5 statistical software (Statistical Innovation Inc .. Finally, the segments were profiled by means of Chi-squared Automatic Interaction Detection (CHAID) analysis (Kass 1980).
Multivariate statistics such as cluster analysis or tree-based models, two of them are the classification and regression trees [CART] and chi-squared automatic interaction detection (CHAID), serve to spatially differentiate the multiple relationships between geodata stored in a GIS.
A classification tree based on the Chi-Squared Automatic Interaction Detection (CHAID) recursive partitioning algorithm revealed statistically significant relationships between precipitation and the presence of TC in both a production well and a nearby monitoring well.
Using real-world software engineering datasets and V-fold sampling, we compare the PNN approach with the chi-squared automatic interaction detection (CHAID) approach and find that the PNN approach performs similar to the CHAID, but provides superior probability estimates.
The performance of support vector machines, artificial neural networks, classification and regression trees, chi-squared automatic interaction detector, linear regression, and generalized linear were applied to construct individual and ensemble models.
A data-mining classification technique was applied to the GSH mapping, and decision trees were constructed using the chi-squared automatic interaction detector (CHAID) and the quick, unbiased, and efficient statistical tree (QUEST) algorithms.
The energy performance of buildings was estimated using various data mining techniques, including support vector regression (SVR), artificial neural network (ANN), classification and regression tree, chi-squared automatic interaction detector, general linear regression, and ensemble inference model.
