sklearn-tree-BN-knn

代码说明：

  分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

文件列表：

lab3, 0 , 2019-03-31
lab3\GaussianNB-house-matplotlib.png, 15026 , 2019-03-22
lab3\GaussianNB-segment-matplotlib.png, 30364 , 2019-03-21
lab3\house-votes-84.data, 18171 , 2016-03-16
lab3\house-votes-84.names, 7059 , 2016-03-16
lab3\knn-house-matplotlib.png, 15725 , 2019-03-22
lab3\knn-house.py, 5523 , 2019-03-22
lab3\knn-segment-matplotlib.png, 29129 , 2019-03-22
lab3\knn-segment.py, 5546 , 2019-03-22
lab3\MultinomialNB-house-matplotlib.png, 14986 , 2019-03-22
lab3\MultinomialNB-segment-matplotlib.png, 31075 , 2019-03-21
lab3\naive-bayes-house.py, 4183 , 2019-03-21
lab3\naive-bayes-segment.py, 5368 , 2019-03-21
lab3\segment-tain.txt, 200410 , 2007-10-11
lab3\segment-test.txt, 109984 , 2007-10-11
lab3\tree-house-graphviz.dot, 1453 , 2019-03-22
lab3\tree-house-graphviz.png, 75493 , 2019-03-22
lab3\tree-house-matplotlib.png, 16219 , 2019-03-22
lab3\tree-house.py, 5870 , 2019-03-22
lab3\tree-segment-graphviz.dot, 17529 , 2019-03-22
lab3\tree-segment-graphviz.png, 1011689 , 2019-03-22
lab3\tree-segment-matplotlib.png, 41287 , 2019-03-22
lab3\tree-segment.py, 6706 , 2019-03-22