数据挖掘wine数据集分类实验报告及代码

[{"title":"（ 27 个子文件 321KB ） 数据挖掘wine数据集分类实验报告及代码","children":[{"title":"数据挖掘wine分类实验报告及代码","children":[{"title":"wine.data <span style='color:#111;'> 10.53KB </span>","children":null,"spread":false},{"title":"WineNaiveBayesianClassification.jar <span style='color:#111;'> 26.96KB </span>","children":null,"spread":false},{"title":"wine","children":[{"title":"bin","children":[{"title":"classification","children":[{"title":"LR_Sigmoid.class <span style='color:#111;'> 521B </span>","children":null,"spread":false},{"title":"NB_Get_MV.class <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"LR_Gradient_Descent.class <span style='color:#111;'> 877B </span>","children":null,"spread":false},{"title":"wqRegularizedLogisticRegression.class <span style='color:#111;'> 5.76KB </span>","children":null,"spread":false},{"title":"NB_Gaussian_Distribution.class <span style='color:#111;'> 611B </span>","children":null,"spread":false},{"title":"LR_Cost_Function.class <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false},{"title":"NB_Gaussian_Value.class <span style='color:#111;'> 849B </span>","children":null,"spread":false},{"title":"LR_Feature_Scaling.class <span style='color:#111;'> 776B </span>","children":null,"spread":false},{"title":"wqNaiveBayesian.class <span style='color:#111;'> 4.79KB </span>","children":null,"spread":false},{"title":"MOs.class <span style='color:#111;'> 7.94KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"src","children":[{"title":"classification","children":[{"title":"NB_Gaussian_Distribution.java <span style='color:#111;'> 281B </span>","children":null,"spread":false},{"title":"wqNaiveBayesian.java <span style='color:#111;'> 5.44KB </span>","children":null,"spread":false},{"title":"MOs.java <span style='color:#111;'> 8.01KB </span>","children":null,"spread":false},{"title":"LR_Feature_Scaling.java <span style='color:#111;'> 611B </span>","children":null,"spread":false},{"title":"NB_Get_MV.java <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"NB_Gaussian_Value.java <span style='color:#111;'> 556B </span>","children":null,"spread":false},{"title":"LR_Gradient_Descent.java <span style='color:#111;'> 765B </span>","children":null,"spread":false},{"title":"wqRegularizedLogisticRegression.java <span style='color:#111;'> 6.88KB </span>","children":null,"spread":false},{"title":"LR_Sigmoid.java <span style='color:#111;'> 208B </span>","children":null,"spread":false},{"title":"LR_Cost_Function.java <span style='color:#111;'> 858B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":".project <span style='color:#111;'> 380B </span>","children":null,"spread":false},{"title":".classpath <span style='color:#111;'> 279B </span>","children":null,"spread":false},{"title":"Jama.jar <span style='color:#111;'> 35.14KB </span>","children":null,"spread":false}],"spread":true},{"title":"WineRegularizedLogisticRegression.jar <span style='color:#111;'> 26.98KB </span>","children":null,"spread":false},{"title":"实验报告.doc <span style='color:#111;'> 441.84KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]