在做决策时,ROC分析能不受成本/效益的影响,给出客观中立的建议。 数十年来,ROC分析被用于医学、无线电、生物学、犯罪心理学领域中,而且最近在机器学习(machine learning)和数据挖掘(data mining)领域也得到了很好的发展。 ROC(Receiver Operating Characteristic)曲线是一种用于评估二分类模型性能的可视化工具。 在ROC...
数十年来,ROC分析被用于医学、无线电、生物学、犯罪心理学领域中,而且最近在机器学习(machine learning)和数据挖掘(data mining)领域也得到了很好的发展。 ROC(Receiver Operating Characteristic)曲线是一种用于评估二分类模型性能的可视化工具。 在ROC曲线上, 横轴表示假阳性率(False Positive Rate,FPR),即被错误地...
The growing volume of spam emails has resulted in the necessity for more accurate and efficient email classification system. The purpose of this research is presenting an machine learning approach for enhancing the accuracy of automatic ... H Yong,Hao-Liang Qi,Mu-Yun Yang 被引量: 0发表: 2012...
A novel feature selection method based on weighted F-score and SVM is proposed for the problems which inter-class overlapping and consistency of the features are ignored in traditional F-score feature selection method. Firstly, overlapping weight and consistency weight are introduced. Secondly, F-sco...
Data is the centroid in any dimension of scientific research. Most of the research arena is problem specific with respect to its data. In machine learning more and more data samples are used for training a machine for efficient cluster formation, prediction, recognition, classification. Variation ...
In this project, we will apply supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause. python machine-learning ipython-notebook supervised-learning gradient...
This study aims to identify BC early based on machine learning algorithms... SA El Rahman - 《Journal of Ambient Intelligence & Humanized Computing》 被引量: 0发表: 2021年 The visualization and classification method of support vector machine in lymphoma cancer In the classical-classification ...
A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. ... Q Zhao,L Zhang,A Cichocki,... - IEEE International Joint Conference on Neural Networks 被引量: 34发表: 2008年 Model based generaliz...
AbstractItisthemaintopicthatpredictionofhotspotsatproteininterfacesinfunctionalproteomics.ClacksonfoundthatmostofthebindingenergiesinhGH.hGHbpinteractionswerecontributedbyafewsignificantresidueswhichwerecalledhotspotsattheprotein-proteininterfaces.Thesesignificantresiduesarenotuniformlydistributedalongtheinterface;rathertheyare...
such asmachine learning,natural-language processing,computer vision, record linking, and dataanalytics. One common use is in medicaldata analysis, for which an F-score can be used to design models that can predict medical outcomes or that can help to determine what factors influence patient ...