Search - precision recall

Search - precision recall - List

[AI-NN-PR] svm_perf.tar DL : 0: 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.
Date : 2025-12-28 Size : 85kb User : 张山
[AI-NN-PR] bpsuanfa DL : 0: 模式分类，BP算法，给出查全率和差准率，对隐含层书目进行讨论-Pattern classification, BP algorithm, given recall rate and the poor precision of the hidden layer bibliographic discussion
Date : 2025-12-28 Size : 1kb User : 曹红丽
[AI-NN-PR] DM4 DL : 0: 执行流程： 1. 用户输入参数：K的选择，训练数据，测试数据的路径； 2. 读取训练数据集和测试数据集文件，用ArffFileReader类读取并组织起InstanceSet数据结构； 3. 利用上面的相似度量标准，对每一个测试集中的Instance，计算与其最相似的K个训练集中的Instance，通过投票进行分类，将分类结果存储经Instance的成员变量targetGuess中； 4. 对分类结果进行度量，包括分类正确率，各种类别实例的Precision，Recall；Confusion Matirx； -Implementation process: 1. User input parameters: K' s choice, the training data, test data path 2. To read the training data set and test data sets document, read and use ArffFileReader category InstanceSet organize the data structure 3. The use of the above similarity metrics for each concentration of a test Instance, the calculation of the K most similar training focused Instance, by voting for classification, the classification results stored by a member of Instance variables in targetGuess 4. on the classification results of measurement, including the classification accuracy of various types of examples of Precision, Recall Confusion Matirx
Date : 2025-12-28 Size : 127kb User : xsl
[AI-NN-PR] AI_Blood DL : 0: 本次大作业利用K‐近邻（K‐Nearest Neighbor）算法，为给定的训练数据集构造了分类器，并在测试数据集上进行分类预测，同时计算了Accuracy、Precision、Recall和F‐measure，利用 10‐fold的实验方法进行交叉验证。-The big job to use K-neighbor (K-Nearest Neighbor) algorithm, for a given set of training data classifier is constructed, and the test data sets to classify forecasts, while the calculation of the Accuracy, Precision, Recall and F-measure , using 10-fold cross-validation of experimental methods.
Date : 2025-12-28 Size : 987kb User : andy
[AI-NN-PR] facebpn DL : 0: This program will give better precision and recall rate as this coding uses Back propagation network
Date : 2025-12-28 Size : 409kb User : vijayan
[AI-NN-PR] PLA_initial DL : 0: 感知机算法基础实现带Accuracy、Recall、Precision、F1 的计算-Perceptron algorithm underlying implementation with Accuracy, Recall, Precision, calculation of F1
Date : 2025-12-28 Size : 1kb User : caimj3
[AI-NN-PR] PLA_pocket DL : 0: PLA口袋算法实现包含Accuracy、recall、precision、F1四大指标的验证-Verify PLA pocket algorithm contains Accuracy, recall, precision, F1 four indicators
Date : 2025-12-28 Size : 1kb User : caimj3