混淆矩阵

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  • 2022-06-03 14:14
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混淆矩阵
混淆矩阵.zip
  • PG_Curve-master
  • actual_label.mat
    210B
  • main.m
    1.5KB
  • ConfusionMatrices
  • draw_cm.m
    1KB
  • rotateXLabels.m
    13.6KB
  • compute_confusion_matrix.m
    714B
  • AccuracyF
  • compute_accuracy_F.m
    1.9KB
  • num_in_class.mat
    188B
  • PrecisionRecall
  • draw_prc.m
    2.9KB
  • prc_stats.m
    2.6KB
  • prc_stats_empirical.m
    2.1KB
  • prc_stats_binormal.m
    2.7KB
  • compute_precision_recall.m
    1KB
  • predict_label.mat
    437B
  • decision_values.mat
    36.5KB
  • name_class.mat
    224B
  • ReadMe.txt
    1.3KB
  • 下载地址.txt
    34B
内容介绍
======================================================================== Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification. The package runs well at Matlab(Version:R2010b) for Windows. However, it may report some errors at old version matlab, e.g., "no function 'assert'" or others. You can update yout Matlab or you can find the missing functions(.m files). Created by Piji Li (pagelee.sd@gmail.com) blog: http://www.zhizhihu.com IRLab. : http://ir.sdu.edu.cn Shandong University,Jinan,China 10/1/2010 Some code are from: 1��Literature: K.H. Brodersen, C.S. Ong, K.E. Stephan, J.M. Buhmann (2010). The binormal assumption on precision-recall curves. In: Proceedings of the 20th International Conference on Pattern Recognition (ICPR). Kay H. Brodersen & Cheng Soon Ong, ETH Zurich, Switzerland $Id: prc_demo.m 5529 2010-04-22 21:10:32Z bkay $ 2��GETCM : gets confusion matrices, precision, recall, and F scores [confus,numcorrect,precision,recall,F] = getcm (actual,pred,[classes]) dinoj@cs.uchicago.edu , Apr 2005, modified July 2005 ======================================================================== Just run main.m, then you can follow the method in main.m do do your own work.
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