how to use predict and forecast

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DARLINGTON ETAJE
DARLINGTON ETAJE 2019년 10월 21일
댓글: DARLINGTON ETAJE 2019년 10월 21일
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);
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DARLINGTON ETAJE
DARLINGTON ETAJE 2019년 10월 21일
Hello John,
Thanks for your comment. That is not the case here. There is a 95 percent accuracy when using the dataset as one..meaning using holdout to divide the data into training set and testing set. But when predicting the future, the story changes....I am positive it's a problem with the code...

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