train, test ,validation confusion matrix
조회 수: 54 (최근 30일)
이전 댓글 표시
while the a confusion matrix is a map of correct and incorrect classifications; what are train ,test,validation confusion matrices? what is their meaning
댓글 수: 2
Adam Danz
2021년 1월 23일
This question is better for an internet search engine. There are lots of tutorials and videos out there. For example,
If you have a matlab related question, you're in the right place.
채택된 답변
Shubham Rawat
2021년 1월 27일
Hi Yogini,
Confusion Matrices:
These are to evaluate the quality of the output of a classifier on the data set. The diagonal elements represent the number of points for which the predicted label is equal to the true label, while off-diagonal elements are those that are mislabeled by the classifier. The higher the diagonal values of the confusion matrix the better, indicating many correct predictions.
Train, Test , Validation Confusion matrices:
They uses different data for creating confusion matrix. For train confusion matrix it uses predicted values and actual values from train data. Similarly for the other confusion matrices.
You may also refer to the answer to this question:
Hope this helps!
댓글 수: 5
Shubham Rawat
2021년 2월 5일
Hi Yogini,
Here is the code for this using Cancer dataset:
load cancer_dataset.mat
inputs = cancerInputs;
targets = cancerTargets;
% Create a Pattern Recognition Network
hiddenLayerSize = 10;
net = patternnet(hiddenLayerSize);
% Set up Division of Data for Training, Validation, Testing
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;
% Train the Network
[net,tr] = train(net,inputs,targets);
%plot confusion matrix for training
yTrn = net(inputs(:,tr.trainInd));
tTrn = targets(:,tr.trainInd);
figure, plotconfusion(tTrn,yTrn,'Training');
%plot confusion matrix for validation
yVal = net(inputs(:,tr.valInd));
tVal = targets(:,tr.valInd);
figure, plotconfusion(tVal,yVal,'Valdation');
%plot confusion matrix for testing
yTst = net(inputs(:,tr.testInd));
tTst = targets(:,tr.testInd);
figure, plotconfusion(tTst,yTst,'Testing');
Hope this Helps!
추가 답변 (1개)
참고 항목
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!