OBJECTIVE Physicians classify patients into those with or without a specific disease. Furthermore, there is often interest in classifying patients according to disease etiology or subtype. Classification trees are frequently used to classify patients according to the presence or absence of a disease. However, classification trees can suffer from limited accuracy. In the data-mining and machine-...

This paper uses the numerical results of surveys sent to Huelva’s (Andalusia, Spain) households determine degree knowledge they have about urban water cycle, needs, values, and attitudes regarding in an intermediary city with low stress. In previous research, we achieved three different households’ clusters. The first one grouped high integral cycle a positive attitude smart devices at home. se...

Penelitian ini menyajikan model klasifikasi berbasis aturan untuk prediksi pengguna sepea berdasarkan cuaca. Pengguna sepeda sangat populer karena kenyamanan dan kelestarian lingkungan menjadi meningkat. Data yang digunakan merupakan data publik dari Bike Sharing Dataset diambil Kaggle. tersebut memiliki setiap jam. Dengan dataset penulis berhasil menemukan akurasi metode CART menjelaskan hasil...

Classification and regression trees are becoming increasingly popular for partitioning data and identifying local structure in small and large datasets. Classification trees include those models in which the dependent variable (the predicted variable) is categorical. Regression trees include those in which it is continuous. This paper discusses pitfalls in the use of these methods and highlight...

In applied studies, the investigation of the relationship between a plant species and environmental variables is essential to manage ecological problems and rangeland ecosystems. This research was conducted in summer 2016. The aim of this study was to compare the predictive power of a number of Species Distribution Models (SDMs) and to evaluate the importance of a range of environmental variabl...

Various statistical classification methods, including discriminant analysis, logistic regression, and cluster analysis, have been used with antibiotic resistance analysis (ARA) data to construct models for bacterial source tracking (BST). We applied the statistical method known as classification trees to build a model for BST for the Anacostia Watershed in Maryland. Classification trees have mo...