difference aspects of multinomial statistical modelings and its classifications has been studied so far. in these type of problems y is the qualitative random variable with t possible states which are considered as classifications. the goal is prediction of y based on a random vector x ? ir^m. many methods for analyzing these problems were considered. one of the modern and general method of cla...

In this paper, we propose a procedure to reduce data dimensionality while preserving relevant information for posterior crop cover classification. The huge amount of data involved in hyperspectral image processing is one of the main problems in order to apply pattern recognition techniques. We propose a dimensionality reduction strategy that eliminates redundant information and a subsequent sel...

Purpose. We sought to investigate the utility of classification and regression trees (CART) classifier to differentiate benign from malignant nodules in patients referred for thyroid surgery. Methods. Clinical and demographic data of 271 patients referred to the Sadoughi Hospital during 2006-2011 were collected. In a two-step approach, a CART classifier was employed to differentiate patients wi...

Decision trees, either classification or regression trees, are especially attractive type of models for three main reasons. First, they have an intuitive representation, the resulting model is easy to understand and assimilate by humans [BFOS84]. Second, the decision trees are nonparametric models, no intervention being required from the user, and thus they are very suited for exploratory knowl...

Abstract. This study compares four machine-learning algorithms comprising of Classification And Regression Trees (CART), Random Forest (RF), Gradient Tree Boosting (GTB) and Support Vector Machine (SVM) for the classification urban land-use land-cover (LULC) features. Using multitemporal multisensor Landsat data from 1984-2020 at 5-year intervals Greater Gaborone Planning Area (GGPA) in Botswan...

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...

The use of Data mining techniques on medical data is dramatically soar for determining helpful things which are used in decision making and identification. The most extensive data mining techniques which are used in healthcare domain are, classification, clustering, regression, association rule mining, classification and regression tree (CART). The suitable use of data mining algorithm can enha...

In this research, we have compared three different attribute selection measures algorithms. We have used ID3 algorithm, C4.5 algorithm and CART algorithm. All these algorithms are decision tree based algorithm. We have got the accuracy of three different algorithms and we observed that the accuracy of ID3 algorithm is greater than C4.5 algorithm. But the accuracy of CART algorithm is greater th...