Search - precision recall

Search - precision recall - List

[matlab] VOCdevkit_14-Apr-2008.tar DL : 5: PASCAL Visual Object Classes，视觉识别竞赛的程序，共有20大类视觉目标。用MATLAB代码写成。能生成precision/recall图。-PASCAL Visual Object Classes, Competition visual recognition procedures, a total of 20 major categories of the visual target. With code written in MATLAB. Able to generate precision/recall graph.
Date : 2025-12-28 Size : 249kb User : yangchengbo
[matlab] precisionrecall DL : 0: 计算三维模型检索结果的PR曲线（precision recall curve）-compute precision recall curve for 3D model retrieval results
Date : 2025-12-28 Size : 1kb User : hu
[matlab] prec_rec DL : 0: 画出函数的ROC曲线，precision/recall 曲线-function [prec, tpr, fpr, thresh] = prec_rec(score, target, varargin) PREC_REC- Compute and plot precision/recall and ROC curves.
Date : 2025-12-28 Size : 4kb User : zhangrui
[matlab] prosto DL : 0: Precision/Recall curve drawing.
Date : 2025-12-28 Size : 1kb User : tonymei
[matlab] color-histogram-based-image-system DL : 0: 要求设计一个基于颜色直方图的图像检索系统。该系统能够实现对图像的检索功能，例如，在一万幅图像中搜索出与检索图像相似的图像，依相似程度的大小显示出来。最后用查全率和查准率对系统进行评估。-To design a color histogram based image retrieval system. The system can realize the image search function, for example, a square image search and retrieval of an image similar to the image size according to the degree of similarity is displayed. Finally, recall and precision to evaluate the system.
Date : 2025-12-28 Size : 1.39mb User : 时局
[matlab] confusion-matrix DL : 0: This code is designed for two or more classes instance confusion matrix formation and Calclating 1acuuracy 2.error 3.Sensitivity (Recall or True positive rate) 4.Specificity 5.Precision 6.FPR-False positive rate 7.F_score 8.MCC-Matthews correlation coefficient 9.kappa-Cohen s kappa Run demo.m for proof and demo Developer Er.Abbas Manthiri S Date 25-12-2016 Mail Id: abbasmanthiribe@gmail.com Coding is based on attached reference - This code is designed for two or more classes instance confusion matrix formation and Calclating 1acuuracy 2.error 3.Sensitivity (Recall or True positive rate) 4.Specificity 5.Precision 6.FPR-False positive rate 7.F_score 8.MCC-Matthews correlation coefficient 9.kappa-Cohen s kappa Run demo.m for proof and demo Developer Er.Abbas Manthiri S Date 25-12-2016 Mail Id: abbasmanthiribe@gmail.com Coding is based on attached reference
Date : 2025-12-28 Size : 572kb User : Abbas