how to use predict and forecast
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Hello Family,
I am trying to predict the class of future dataset: Unfortunately my code is completely misclassifying one class meaning there is a problem with the code.
This is the dataset:
https://drive.google.com/file/d/1tQdZ5XXQAECN6eahzhkt5xLpZA9eOyFk/view?usp=sharing
Here is the code I am currently using:
%D be the dataset
Data=D(1:500,1:end-1);
Data2=D(501:1000,1:end-1);
class_labels=D(1:500,6);
Data2labels=D(501:1000,6);
classification_model = fitcensemble(Data,'class_labels~var1+var2+var3+var4+var5')
cv = cvpartition(classification_model.NumObservations, 'HoldOut', 0.2);
cross_validated_model = crossval(classification_model,'cvpartition',cv);
Predictions_1 = predict(cross_validated_model.Trained{1},Data(test(cv),1:end-1));
Predictions_5 = predict(cross_validated_model{1}.Trained,Data2);
training_data = Data(training(cv),:);
labels = unique(class_labels);
Y = ismember(training_data.class_labels,labels{1});
Results_1 = confusionmat(cross_validated_model.Y(test(cv)),Predictions_1);
Results_5 = confusionmat(Data2labels,Predictions_5);
2 Comments
John D'Errico
on 21 Oct 2019
It does not mean there is a problem with the code. There could easily be a problem with the data, such that this particular set of data will never be able to predict some events correctly, no matter what model you use. It is not even that difficult to create such a dataset.
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