Support Vector Machine Regression Predict

2021 3 2
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更新时间：2021 3 3
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I have this Airlines dataset. I used 11 yers for training and 1 for testing.
Once i've chosen and trained the model (using fitrsvm, predict...), suppose that i need to predict the next 3 months how can i do?
Probably it's a dumb question, but i can't figure out.
Thanks.

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回答（1 个）

Iuliu Ardelean
Iuliu Ardelean 2021-3-2
编辑：Iuliu Ardelean 2021-3-2

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Hey
You could try:
numTrainPoints = 100; % Let's say you want 100 train points
dtrain = d(1:numTrainPoints, 1:(A-af); % select first 100 points for training
model = fitrsvm(dtrain, dresponse); % fit model to train data
dtest = d(numTrainPoints:end, 1:(A-af); % select the rest for testing
predictedPassengers = predict(model, dtest); % test

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Thanks, but doesn't work.
Here the messagge error...
Error using classreg.learning.internal.numPredictorsCheck (line 29)
X data must have 11 columns.
Iuliu Ardelean
Iuliu Ardelean 2021-3-2
Hey -- sorry about that -- my error -- I've updated the response -- please let me know if it still doesn't work
again thanks but still doesn't work.
Sorry
Index in position 1 exceeds array bounds (must not exceed 12).
Error in SVM_Question (line 28)
dtrain = d(1:numTrainPoints, 1:(A-af)); % select first 100 points for training
Iuliu Ardelean
Iuliu Ardelean 2021-3-3
编辑：Iuliu Ardelean 2021-3-3
what value did you use for numTrainPoints?
Maybe try a smaller number, e.g. numTrainPoints = 10
it works only with numTrainpoints = 12, but it gaves the same result of the benigging
numTrainPoints = 12;
dtrain = d(1:numTrainPoints, 1:(A-af)); % select first points for training
model = fitrsvm(dtrain, dresponse); % fit model to train data
dtest = d(1:numTrainPoints, 1:(A-af)); % select the rest for testing
predictedPassengers = predict(model, dtest); % test
because it's the same code dtest result the same of dtrain

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