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array(['CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD', 'TAX', 'PTRATIO', 'B', 'LSTAT'], dtype='<U7') 1. 2. boston.feature_names[np.argsort(lin_reg.coef_)] 1. array(['NOX', 'DIS', 'PTRATIO', 'LSTAT', 'CRIM', 'INDUS', 'AGE', 'TAX',...
grid_search.best_estimator_.score(X_test,y_test) 复制代码 1. 2. 0.7354244906092771 复制代码 1. 2. 6 线性回归的可解性和更多思考 可解释下 lin_reg = LinearRegression() lin_reg.fit(X,y) lin_reg.coef_ # 输出:array([-1.05574295e-01, 3.52748549e-02, -4.35179251e-02, 4.55405227e-01, ...
Supreme Court once again saved the Affordable Care Act (ACA) by upholding subsidies (tax credits) offered to low- and middle-i... LO Gostin,MC Debartolo,DA Hougendobler - 《Jama》 被引量: 7发表: 2015年 Are the Welfare State and Distribution Really that Bad for the Economy? Effects of...
(x, y, random_state=28, train_size=0.6) ## 数据SVM分类器构建 svm = SVC(C=1, kernel='linear') ## 模型训练 svm.fit(x_train, y_train) # 截距项, 也就是ppt上b svm.intercept_ # 模型参数,也就是ppt上的w svm.coef_ ## Linear分类器构建 lr = LogisticRegression() rc = ...
不需要太多的调参,唯一需要关注的就是RF中基学习器的个数n_estimator 样本扰动+属性扰动增加了随机性,使得RF不像决策树那样容易过拟合,模型方差小,泛化能力强 RF对异常值/缺失值不敏感,十分具有鲁棒性 缺点: 在某些噪音比较大的样本集上,RF模型容易陷入过拟合。
x_train, x_test, y_train, y_test = train_test_split(train_X, y, test_size=0.3, random_state=100, shuffle=True) def ridges(x_train, y_train): # 目的是为了选λ alphas = np.arange(-10, 10, 0.1) coefs = [] for alpha in alphas: ...
功能型工具箱主要用来扩充MATLAB的符号计算功能、图形建模仿真功能、文字处理功能以及与硬件实时交互功能,能用于多种学科。而领域型工具箱是专业性很强的。如控制系统工具箱(Control System Toolbox)、信号处理工具箱(Signal Processing Toolbox)、财政金融工具箱(Financial Toolbox)等。' n/ m4 u- C+ k. ~: g ...