回归分析5：随机森林算法之matlab实现

随机森林回归算法X = S2(1:22,:); %S2为数据集T = S2(23:end,:);%nTree = round(sqrt(size(X,2)-1));nTree = 50;train_data = X(:,1:end-1);train_label = X(:,end); test_data = T(:,1:end-1);Factor = TreeBagger(nT...

潘聪明

10288人浏览 · 2019-12-23 15:17:00

潘聪明 · 2019-12-23 15:17:00 发布

随机森林回归算法

X = S2(1:22,:); %  S2为数据集
T = S2(23:end,:);
%nTree = round(sqrt(size(X,2)-1));
nTree = 50;
train_data = X(:,1:end-1);train_label = X(:,end); test_data = T(:,1:end-1);
Factor = TreeBagger(nTree, train_data, train_label,'Method','regression');
[Predict_label,Scores] = predict(Factor, test_data)
%Predict_label=cellfun(@str2num,Predict_label(1:end));
MZE = mean(round(Predict_label) ~= T(:,end))
MAE = mean(abs(round(Predict_label) - T(:,end)))