文件列表:

PG_Curve (0, 2010-12-29)
PG_Curve\AccuracyF (0, 2010-12-29)
PG_Curve\actual_label.mat (210, 2010-12-29)
PG_Curve\ConfusionMatrices (0, 2010-12-29)
PG_Curve\decision_values.mat (37372, 2010-12-29)
PG_Curve\main.m (1572, 2010-12-29)
PG_Curve\name_class.mat (224, 2010-12-29)
PG_Curve\num_in_class.mat (188, 2010-12-29)
PG_Curve\PrecisionRecall (0, 2010-12-29)
PG_Curve\predict_label.mat (437, 2010-12-29)
PG_Curve\AccuracyF\compute_accuracy_F.m (1694, 2010-12-29)
PG_Curve\ConfusionMatrices\compute_confusion_matrix.m (739, 2010-12-29)
PG_Curve\ConfusionMatrices\draw_cm.m (985, 2010-12-29)
PG_Curve\ConfusionMatrices\rotateXLabels.m (14297, 2010-12-29)
PG_Curve\PrecisionRecall\compute_precision_recall.m (1061, 2010-12-29)
PG_Curve\PrecisionRecall\draw_prc.m (3084, 2010-12-29)
PG_Curve\PrecisionRecall\prc_stats.m (2654, 2010-12-29)
PG_Curve\PrecisionRecall\prc_stats_binormal.m (2775, 2010-12-29)
PG_Curve\PrecisionRecall\prc_stats_empirical.m (2179, 2010-12-29)

======================================================================== Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification Created by Piji Li (peegeelee@gmail.com) blog: http://www.shamoxia.com IRLab. : http://ir.sdu.edu.cn Shandong University,Jinan,*** 10/1/2010 Some code are from: 1Literature: 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 $ 2GETCM : 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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