計算roc曲線和AUC的Matlab程序
上傳時間： 2014-12-08
上傳用戶：aeiouetla
A Perl module implementing receiver-operator-characteristic (roc) curves with nonparametric confidence bounds
標簽： receiver-operator-characteristic nonparametric implementing module
上傳時間： 2016-01-05
上傳用戶：cjl42111
非參數法估計roc曲線下面積,本文將采用實例數據具體介紹如何利用簡單實用的非參數法估計與比較roc 曲線下面積
上傳時間： 2016-01-05
上傳用戶：zhenyushaw
pdf DOCUMENT FOR roc AND ORGANICE WORDS
上傳時間： 2014-09-06
上傳用戶：libinxny
roc曲線繪制程序！matlab版！搜索，無重復。
上傳時間： 2013-12-27
上傳用戶：FreeSky
matlab 程序用來計算roc曲線面積
上傳時間： 2013-12-17
上傳用戶：xieguodong1234
roc曲線是一個非常有用的技術，經常用來組織分類器，可視化分類器的性能。roc圖還經常被用于醫療決策。多多支持哦。。。。。。。。。。。。。。。。。。。。。
標簽： roc
上傳時間： 2014-11-22
上傳用戶：youke111
roc的詳細說明，不了解的可以過來看看，相信一定會對你有用
標簽： roc
上傳時間： 2013-12-11
上傳用戶：gaojiao1999
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including roc curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標簽： Rauch-Tung-Striebel algorithm smoother which
上傳時間： 2016-04-15
上傳用戶：zhenyushaw
New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, roc-Area, and the Precision/Recall Break-Even Point.
標簽： classification algorithm for training
上傳時間： 2014-12-20
上傳用戶：stvnash
