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基于NSVM的两类SVM分类器，matlab7.1运行通过，main中做了PCA的特征提取、leave one out cross-valiation和5-fold cross-validation（重复10次的平均值）
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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 constru
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estimate the test accuracy,training accuray and validation accuracy of a neural network with 10-fold cross validation.-estimate the test accuracy,training accuray and validation accuracy of a neural network with 10-fold cross validation.
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Naive Bayes training and testing with 10-fold cross validation. Train and test data files provided.
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matlab交叉验证cross Validation，把样本集分为训练集和测试集，防止网络出现过拟合，提高网络的泛化能力和预测精度-cross Validation for matlab，to estimate the test accuracy,training accuray and validation accuracy of a neural network
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10折交叉验证代码 自编函数 可用于任何数据 直接使用即可-10 fold cross validation code editing the function can be used in any data can be used directly
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10 fold cross validation application. it divide into ten fold your data an can use its your image processing app, artificial intelligence app., pattern recognition app. et.
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根据用户的电影收视率来预测用户的性别和年龄并且使用10折交叉验证。-predict the gender and age of users based on their ratings on movies.perform 10-fold cross validation. In each fold, users.datx(x=0,…,9) is used for test, and all other users. datxare used for training. You can use m
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十折交叉验证算法的代码，我用的比较简单，希望大家能够喜欢-Ten-fold cross-validation algorithm code, I use relatively simple, hope that we can love
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matlab进行十折交叉验证神经网络，用于预测(Matlab performs ten fold cross validation using neural networks)
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