Random Forest with cross validation
0
I'd like to do cross validation on a Random Forest model.
I've tried using crossval but it doesn't work on TreeBagger.
I tried using for loop, but I'm not sure it's correct:
RF6treenum = 50;
err6 = zeros(cp.NumTestSets,1);
for i = 1:cp.NumTestSets
trIdx = cp.training(i);
teIdx = cp.test(i);
RF6 = TreeBagger(50,X_training(trIdx,:),Y_train(trIdx,:),'OOBPrediction','On',...
'Method','classification');
err6(i) = sum(error(RF6,X_training(teIdx,:),Y_train(teIdx,:)))/RF6treenum;
end
errRF6 = sum(err6)/10;
matlab random-forest cross-validation
edited Nov 25 '18 at 23:59
Cris Luengo
22k52253
asked Nov 25 '18 at 23:29
Ana ClaudiaAna Claudia
383312
add a comment |
0
I'd like to do cross validation on a Random Forest model.
I've tried using crossval but it doesn't work on TreeBagger.
I tried using for loop, but I'm not sure it's correct:
RF6treenum = 50;
err6 = zeros(cp.NumTestSets,1);
for i = 1:cp.NumTestSets
trIdx = cp.training(i);
teIdx = cp.test(i);
RF6 = TreeBagger(50,X_training(trIdx,:),Y_train(trIdx,:),'OOBPrediction','On',...
'Method','classification');
err6(i) = sum(error(RF6,X_training(teIdx,:),Y_train(teIdx,:)))/RF6treenum;
end
errRF6 = sum(err6)/10;
matlab random-forest cross-validation
edited Nov 25 '18 at 23:59
Cris Luengo
22k52253
asked Nov 25 '18 at 23:29
Ana ClaudiaAna Claudia
383312
add a comment |
0
0
0
I'd like to do cross validation on a Random Forest model.
I've tried using crossval but it doesn't work on TreeBagger.
I tried using for loop, but I'm not sure it's correct:
RF6treenum = 50;
err6 = zeros(cp.NumTestSets,1);
for i = 1:cp.NumTestSets
trIdx = cp.training(i);
teIdx = cp.test(i);
RF6 = TreeBagger(50,X_training(trIdx,:),Y_train(trIdx,:),'OOBPrediction','On',...
'Method','classification');
err6(i) = sum(error(RF6,X_training(teIdx,:),Y_train(teIdx,:)))/RF6treenum;
end
errRF6 = sum(err6)/10;
matlab random-forest cross-validation
edited Nov 25 '18 at 23:59
Cris Luengo
22k52253
asked Nov 25 '18 at 23:29
Ana ClaudiaAna Claudia
383312
I'd like to do cross validation on a Random Forest model.
I've tried using crossval but it doesn't work on TreeBagger.
I tried using for loop, but I'm not sure it's correct:
RF6treenum = 50;
err6 = zeros(cp.NumTestSets,1);
for i = 1:cp.NumTestSets
trIdx = cp.training(i);
teIdx = cp.test(i);
RF6 = TreeBagger(50,X_training(trIdx,:),Y_train(trIdx,:),'OOBPrediction','On',...
'Method','classification');
err6(i) = sum(error(RF6,X_training(teIdx,:),Y_train(teIdx,:)))/RF6treenum;
end
errRF6 = sum(err6)/10;
matlab random-forest cross-validation
matlab random-forest cross-validation
edited Nov 25 '18 at 23:59
Cris Luengo
22k52253
asked Nov 25 '18 at 23:29
Ana ClaudiaAna Claudia
383312
edited Nov 25 '18 at 23:59
Cris Luengo
22k52253
asked Nov 25 '18 at 23:29
Ana ClaudiaAna Claudia
383312
edited Nov 25 '18 at 23:59
Cris Luengo
22k52253
edited Nov 25 '18 at 23:59
Cris Luengo
22k52253
edited Nov 25 '18 at 23:59
Cris Luengo
22k52253
22k52253
asked Nov 25 '18 at 23:29
Ana ClaudiaAna Claudia
383312
asked Nov 25 '18 at 23:29
Ana ClaudiaAna Claudia
383312
asked Nov 25 '18 at 23:29
Ana ClaudiaAna Claudia
383312
383312
add a comment |
add a comment |
0
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