Prediction-using-Decision-Tree-Algorithm:创建决策树分类器并以图形方式对其进行可视化指劍**問天 上传2.19MB 文件格式 zip JupyterNotebook 决策树决策算法 创建决策树分类器并以图形方式对其进行可视化点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 ...
This research has developed a prototype Intelligent Heart Disease Prediction System (IHDPS) using data mining techniques, namely, Decision Trees i.e. ID3.By using medical profiles of patients such as age, gender, blood pressure and blood sugar, chest pain, ECG graph etc, it can predict the ...
11. Bhukya DP, Ramachandram S. Decision tree induction-an approach for data classification using AVL–Tree.Int J Comp d Electrical Engineering.2010;2(4): 660–665. doi: 10.7763/IJCEE.2010.V2.208. [CrossRef] [Google Scholar] 12. Lin N, Noe D, He X. Tree-based methods and their appl...
Early Detection of Clinical Parameters in Heart Disease by Improved Decision Tree Algorithm In this paper, we propose a new pruning method which is a combination of pre-pruning and post-pruning, aiming on both classification accuracy and tree size... AM Mahmood,MR Kuppa - Second Vaagdevi Inter...
Data mining is a new technology and has successfully applied on a lot of fields. In this paper we applied a decision tree for mining the information that hides inside the student scores. In this paper, the C4.5 decision tree algorithm is improved. Using
(KNN), artificial neural network, support vector machine (SVM), decision tree, and modified decision tree using genetic algorithm. Analysis was performed with reference to accuracy, execution, and sensitivity. Results show that the decision tree using genetic approach predicts the CHD patient more ...
The prediction method based on improved decision tree ID3 algorithm was proposed by gray theory to improve the accuracy of coal and gas outburst indexes prediction.Desorption index of drill cuttings was adopt as the major decision attribute,geological structure,gas concentration changes and other obvious...
Prediction of student learning style using modified decision tree algorithm in e-learning system. In Proceedings of the 2018 International Conference on Data Science and Information Technology (pp. 85–90). https://doi.org/10.1145/3239283.3239319 Sheeba, T., & Krishnan, R. (2019). Automatic ...
4.4.1. Using decision tree ML algorithm for predicting credit card default DTs can be used to forecast the likelihood of credit card defaults. Using a DT structure, it categorises those who have defaulted on their credit cards. The decisions are based on the customer's age, income level, ...
[29] introduced a CNN-based technique for drug–target interaction prediction, incorporating both 1D and 2D structural descriptors of the drug and the protein’s sequence as inputs to the network. Ezzat et al. [30] further refine the prediction accuracy by using decision tree methods and ...