In this project, I have trained ML classification models for a Persian LinkedIn posts using MATLAB. I have gathered a dataset including 300 data samples, and tested Naive Bayes/SVM/Tree/ etc training models for prediction. because the low number of data samples and 3 class labels, I have achieved the highest accuracy of 60% via bagged trees model with KFold=15.
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In this project, I have trained ML classification models for Persian LinkedIn posts using MATLAB. I have gathered a dataset including 300 data samples, and tested Naive Bayes/SVM/Tree/ etc training models for prediction. because the low number of data samples and 3 class labels, I have achieved the highest accuracy of 60% via bagged trees model …
Hadian1989/Persian-LinkedIn-Posts
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In this project, I have trained ML classification models for Persian LinkedIn posts using MATLAB. I have gathered a dataset including 300 data samples, and tested Naive Bayes/SVM/Tree/ etc training models for prediction. because the low number of data samples and 3 class labels, I have achieved the highest accuracy of 60% via bagged trees model …
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