搜索资源列表
ROCandAUC
- 计算ROC曲线和AUC的Matlab程序
ROCandAUC
- 计算ROC曲线和AUC的Matlab程序-Calculation of ROC curves and AUC of Matlab procedures
SVM
- 用C语言自己编写基于特定训练数据和测试数据的SVM程序，并用AUC对其评估-I have written using C language based on the specific training data and test data of the SVM procedure, and their assessment of AUC
rocplot
- ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, s
Rocforsvm
- 通过决策值可以绘制出ROC曲线的python程序-This tool which gives the ROC (Receiver Operating Characteristic) curve and AUC (Area Under Curve) by ranking the decision values.
Bayes_EM
- 利用matlab实现的基于EM算法的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection
svm
- 改进的支持向量机工具，直接输入测试集合训练集，得到训练模型的roc图像和auc值-Improved support vector machine tools, direct input test set training set, obtain training model roc images and auc values
metric
- 系统过滤评价指标 AUC以及top-L-precision 以及汉明距离-AUC and evaluation system filter top-L-precision and the Hamming distance
roc
- 利用exl数据绘制ROC曲线求AUC与最佳工作点-AUC ROC curve in order to draw
ROC-and-AUC-analysis
- A good matlab code that analysis the ROC curve and corresponding AUC value to estimate the sensitive and the currectness of the sample estimate. This code is suitable for variable type and function data.
AUC
- 链路预测中十种局部相似性指标，AUC衡量算法的效率，此代码为十种局部相似性指标AUC程序-AUC of ten local similarity indices
newROC_SVM
- 根据计算的灵敏性特异性，绘制ROC曲线，计算相应的AUC-According to the calculated sensitivity specificity, rendering the ROC curve, calculate the corresponding AUC
colAUC
- colAUC calculates Area under ROC curve (AUC)
hlr_auc_gw
- HLR/AuC testing gateway for hostapd EAP-SIM/AKA database/authenticator.
auc
- AUC实现源准备率和召回率。AUC的值介于0.5到1.0之间，较大的AUC代表了较好的Performance。-Area Under roc Curve(AUC)
AUC计算器
- 计算AUC的小程序 ROC的全名叫做Receiver Operating Characteristic，其主要分析工具是一个画在二维平面上的曲线——ROC curve。平面的横坐标是false positive rate(FPR)，纵坐标是true positive rate(TPR)。对某个分类器而言，我们可以根据其在测试样本上的表现得到一个TPR和FPR点对。这样，此分类器就可以映射成ROC平面上的一个点。调整这个分类器分类时候使
Graph-In-AUC
- Graphic in AUC software in order to insert graph for Arion receiver types
AUC
- 链路预测中十种局部相似性指标，AUC衡量算法的效率-Ten local similarity indices in link prediction, the efficiency of AUC algorithm
auc
- 不平衡数据分类评价标准，受试者工作曲线下方面积(Unbalance data classification evaluation standard)
classifier_D
- 使用SVM分类器来预测乳腺癌病人的预后(特征选择；分类器构建)，评价模型时使用无被交叉验证，性能评价指标包括准确率，AUC，灵敏度，特异度。学会最基本的机器学习方法。可查看分发给大家的代码，以后遇到类似的问题，可用相似的思路和代码。(The SVM classifier was used to predict the prognosis of breast cancer patients (feature selection; clas