Decision tree regression

In this research "Classification and regression tree model to predict the probability of a backorder in uncertain supply chain", we develop Classification and Regression Tree (CART) model that uses previously known parameters to predict the likelihood of a product being backordered. We also use different model parameters to evaluate the accuracy of the model. Result shows that the developed model can help decision makers to identify the key factors that lead to a product backordering.

8p longtimenosee04 06-03-2024 3 1   Download

The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve uncertain description or other complexities that cause difficulty for the conventional approaches of logistic regression, neural network models, and decision trees. We have organized the material into three parts. Part I introduces concepts. Part II contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.

182p haojiubujain08 01-11-2023 11 2   Download

This book explores artificial intelligence finding it cannot simply display the high-level behaviours of an expert but must exhibit some of the low level behaviours common to human existence.

325p haojiubujain08 01-11-2023 9 1   Download

Luận văn "Sử dụng Data Mining dự báo nhu cầu lao động cho một số ngành nghề trên địa bàn tỉnh Bình Dương" được hoàn thành với mục tiêu nhằm nghiên cứu về ứng dụng khai phá dữ liệu và các thuật toán Linear Regression, K-nearest neighbors, Decision trees và Random forests để khai phá dữ liệu cho Dữ liệu tại Trung tâm dịch vụ việc làm tỉnh Bình Dương với một cơ sở dữ liệu điều tra về cầu lao động của các Doanh nghiệp trên địa bàn tỉnh Bình Dương.

67p matroinho2510 08-11-2022 13 3   Download

Lecture Data mining: Lesson 9. The main topics covered in this chapter include: classification and regression; classification by decision tree induction; bayesian classification; other classification methods; regression;... Please refer to the content of document.

25p tieuvulinhhoa 22-09-2022 8 3   Download

Lecture Data mining: Lesson 10. The main topics covered in this chapter include: classification; classification and regression; classification by decision tree induction; bayesian; classification; other classification methods like rule based, K-NN, SVM, bagging/boosting;... Please refer to the content of document.

67p tieuvulinhhoa 22-09-2022 10 3   Download

In this paper, multiple classification algorithms including support vector machine (SVM), random forest (RF), decision tree (DT), K-nearest neighbours (KNN), logistic regression, Gaussian, Bernoulli, multinomial Naïve Bayes, and linear discriminant analysis were executed on the seismic attributes for lithofacies prediction.

9p vibentley 08-09-2022 14 4   Download

LightGBM is an ensemble model of decision trees for classification and regression prediction. We demonstrate its utility in genomic selection-assisted breeding with a large dataset of inbred and hybrid maize lines.

24p viarchimedes 26-01-2022 6 0   Download

In this paper, a hyper-heuristic approach was presented for tuning the hyper parameters of recursive and partition trees (Rpart), which is a typical implementation of CART in statistical and data analytics package R. The study employed an evolutionary algorithm as hyper-heuristic for tuning the hyper parameters of the decision tree classifier.

28p spiritedaway36 28-11-2021 9 2   Download

The Pima Indian diabetes database (PIDD) was obtained from the UCI repository used for analysis. In this research, three machine learning classification algorithms, correspondingly Logistic Regression, Decision Tree and Random Forest have been accomplished. The performances of all three algorithms are estimated on various metrics. The final process has shown that Random Forest has the most perceptible results out of three algorithms when all the attributes were applied.

9p huyetthienthan 23-11-2021 10 0   Download

Bài giảng Cây quyết định trong máy học cung cấp cho người học những kiến thức như: Position Salaries, Tiền xử lý dữ liệu; Trực quan hóa dữ liệu; Decision Tree; Decision Tree Regression; Huấn luyện mô hình;...Mời các bạn cùng tham khảo!

29p toan5ks1 04-08-2021 30 1   Download

Tuberculosis (TB) remains a public health issue worldwide. The lack of specific clinical symptoms to diagnose TB makes the correct decision to admit patients to respiratory isolation a difficult task for the clinician. Isolation of patients without the disease is common and increases health costs

8p vianthony2711 16-04-2021 19 2   Download

Microarray technology can acquire information about thousands of genes simultaneously. We analyzed published breast cancer microarray databases to predict five-year recurrence and compared the performance of three data mining algorithms of artificial neural networks (ANN), decision trees (DT) and logistic regression (LR) and two composite models of DT-ANN and DT-LR.

11p viwyoming2711 16-12-2020 20 1   Download

Bài viết trình bày kết quả đánh giá bộ cơ sở dữ liệu trong phân loại rối loạn phổ tự kỷ (ASD) trẻ em trên kho dữ liệu UCI. Chúng tôi tiến hành đánh giá bộ dữ liệu với các thuật toán SVM và Random Forest, đồng thời khảo sát thêm các thuật toán Decision Trees, Logistic Regression, K-Nearest-Neighbors, Naïve Bayes, và mạng nơ-ron Multi Layer Perceptron (MLP).

13p viirene2711 03-10-2020 51 3   Download

This paper uses Decision Tree, K-nearest neighbor (KNN), Support Vector Machine (SVM), Naive Bayes, and Logistic Regression for data categorization to estimate credit ranking of bank customers in one of major banks in Middle East.

10p kelseynguyen 28-05-2020 6 0   Download

In this paper analysed the key factors influencing tree planting decision from local people in the Nam Nuong commune, Kim Boi dictrict.

9p 12120609 18-03-2020 18 2   Download

Highly tensile manganese steel is in great demand owing to its high tensile strength under shock loads. All workpieces are produced through casting, because it is highly difficult to machine. The probabilistic aspects of its casting, its variable composition, and the different casting techniques must all be considered for the optimisation of its mechanical properties. A hybrid strategy is therefore proposed which combines decision trees and artificial neural networks (ANNs) for accurate and reliable prediction models for ore crushing plate lifetimes.

12p caygaocaolon1 13-11-2019 20 0   Download

This paper shows design and implementation of data warehouse as well as the use of data mining algorithms for the purpose of knowledge discovery as the basic resource of adequate business decision making process. The project is realized for the needs of Student's Service Department of the Faculty of Organizational Sciences (FOS), University of Belgrade, Serbia and Montenegro. This system represents a good base for analysis and predictions in the following time period for the purpose of quality business decision-making by top management.

21p vinguyentuongdanh 20-12-2018 28 2   Download

In an effort to identify some of the most influential algorithms that have been widely used in the data mining community, the IEEE International Conference on Data Mining (ICDM, http://www.cs.uvm.edu/∼icdm/) identified the top 10 algorithms in data mining for presentation at ICDM ’06 in Hong Kong. This book presents these top 10 data mining algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Na¨ıve Bayes, and CART.

206p trinh02 23-01-2013 134 40   Download

What are anomalies/outliers? The set of data points that are considerably different than the remainder of the data Variants of Anomaly/Outlier Detection Problems Given a database D, find all the data points x  D with anomaly scores greater than some threshold t Given a database D, find all the data points x  D having the top-n largest anomaly scores f(x) Given a database D, containing mostly normal (but unlabeled) data points, and a test point x, compute the anomaly score of x with respect to D Applications: Credit card fraud detection, telecommunication fraud detection, network i...

25p trinh02 18-01-2013 68 4   Download