An ensemble bagged trees classification approach for monitoring of the engine conditions and fault diagnosis using Visual Dot Patterns of acoustic and vibration Signals

Implementation of different types of machine learning algorithm and there performance comparison on a same dataset

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 …