由於對matlab不熟..所以想問問各位大大
下面是我的code
想問一下
其中MaxIter是我的訓練次數~
而ErrorR,ErrorG,ErrorM
分別是我的錯誤率!!~
我想要畫出..一個曲線圖..其中
X軸為我訓練次數...(若MaxIter,則顯示lrn_num 1~5)
Y軸為我的錯誤率!!~(1~5時各自的錯誤率)
要怎樣寫呢..
麻煩會的大大幫個忙..謝謝[code cpp]% Step1: reading Data from the file
FullData = load('sample.txt');
FullLabels = load('sample_Label.txt');
% Step2: splitting data to training and control set
TrainData = FullData(:,1:2:end);%(:,1:2:end)
TrainLabels = FullLabels(:,1:2:end)
ControlData = FullData(:,2:2:end);
ControlLabels = FullLabels(:,2:2:end);
MaxIter =10;
% Step3: constructing weak learner
weak_learner = tree_node_w(3); % pass the number of tree splits to the constructor
for lrn_num = 1 : MaxIter
clc;
disp(strcat(' Boosting step: ', num2str(lrn_num),'/', num2str(MaxIter)));

%training gentle adaboost
[GLearners GWeights] = GentleAdaBoost(weak_learner, TrainData, TrainLabels, lrn_num);

%evaluating control error
ResultG = sign(Classify(GLearners, GWeights, ControlData));

ErrorG = sum(ControlLabels ~= ResultG)/ length(ControlLabels)
%training real adaboost
[RLearners RWeights] = RealAdaBoost(weak_learner, TrainData, TrainLabels, lrn_num);;

%evaluating control error
RControl = sign(Classify(RLearners, RWeights, ControlData));

ErrorR = sum(ControlLabels ~= RControl)/ length(ControlLabels)
%training modest adaboost
[MLearners MWeights] = ModestAdaBoost(weak_learner, TrainData, TrainLabels, lrn_num);

%evaluating control error
ResultM = sign(Classify(MLearners, MWeights, ControlData));

ErrorM = sum(ControlLabels ~= ResultM)/ length(ControlLabels)

end[/code]