How to calculate accuracy, F1 score & entropy?

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Durlov Rahman
Durlov Rahman 2021-8-23
回答： Ram Patro 2021-12-9
Here is my data ""
Now I have to split this dataset into 70% training set & 30% test set....
Then I have to calculate accuracy, F1 score & entropy using some classifiers. They are Decision tree, knn, svm
How can I do this? Please help

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回答（1 个）

Ram Patro
Ram Patro 2021-12-9
The data you have provided does not contain class label information. When you have the class label vector 'classLabel', you can partition data using cvpartition function.
per = 10; % Training percentage
cv = cvpartition(classLabel,HoldOut=1-(per/100));
'cv.training' lists all the training location indices that you can use to partition the data. Similarly '~cv.training' lists all the testing location indices.
For classification, you can refer to the examples:
  • fitctree function for decision tree classifier.
  • fitcknn function for K- neareset neighbour classifier
  • fitcsvm function for binary models of SVM classification
  • fitcecoc function for multiclass models of SVM classification.
After obtaining your classification results, you can refer:

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