crosstab(train_target,test_predict) print ("in datingClassTest,the total error rate is: %f" % (errorCount/float(m))) print ('in datingClassTest,errorCount:',errorCount) target_names = ['setosa', 'versicolor', 'virginica'] print(classification_report(test_target,test_predict, target_names...
defknn():K=8data=pd.read_csv(r"Prostate_Cancer.csv")n=len(data)// 3test_set=data[0:n]train_set=data[n:]train_set=np.array(train_set)test_set=np.array(test_set)A=[iforiinrange(0,len(train_set))]B=[iforiinrange(2,10)]C=[iforiinrange(n)]D=[1]x_train=train_set[A...
与R语言和RStudio类似,Python也有它的IDE(集成开发环境)-PyCharm,就是一个用来编写Python程序的软件。PyCharm带有一整套可以帮助用户在使用Python语言开发时提高其效率的工具,比如调试、语法高亮、项目管理、代码跳转、智能提示、自动完成、单元测试、版本控制。此外,该IDE提供了一些高级功能,以用于支持Django框架下的专业...
In spite of its simplicity, kNN can provide surprisingly good classification performance, and its simplicity makes it easy to interpret. KNN算法思想解释 K最近邻算法是一种分类算法,算法思想是在数据集中找到与样本最相似的K个样本,如果这K个样本中的大多数属于某一类别,则该样本也属于某一类别。 用例子...
Mdl = ClassificationKNN ResponseName: 'Y' CategoricalPredictors: [] ClassNames: {'setosa' 'versicolor' 'virginica'} ScoreTransform: 'none' NumObservations: 150 Distance: 'euclidean' NumNeighbors: 5 Mdlis a trainedClassificationKNNclassifier, and some of its properties appear in the Command Window...
. discrim knn income_std-population_std in 1/7000, k(15) group(rich) . dis (3089+3216)/7000//训练数据本身的预测精确度是0.9007 第三步,基于剩余的3000个测试数据集,预测街区是富人区还是普通区。 . predict rich_hat in 7001/10000, classification //基于3000个测试数据预测 ...
kNN is arguably the simplest machine learning algorithm. In spite of its simplicity, kNN can provide surprisingly good classification performance, and its simplicity makes it easy to interpret. KNN算法思想解释 K最近邻算法是一种分类算法,算法思想是在数据集中找到与样本最相似的K个样本,如果这K个样本中...
}//This function finds classification of point p using//k nearest neighbour algorithm. It assumes only two//groups and returns 0 if p belongs to group 0, else//1 (belongs to group 1).intclassifyAPoint(Point arr[],intn,intk, Point p) ...
zhengyima / mnist-classification Star 412 Code Issues Pull requests Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板) machine-learning deep-learning svm scikit-learn ...
SibStCNN and TBCNN + kNN-TED: New Models over Tree Structures for Source Code ClassificationAbstract Syntax Trees (AST)Convolutional Neural Networks (CNNs)k-Nearest Neighbors (kNNs)This paper aims to solve a software engineering problem by applying several approaches to exploit tree representations ...