This project shows a comparision between 3 machine learning models on a picked sample of the data above. The project is written in Matlab and python. The python scripts are used to collect the data into one file.
To collect the data to xlsx file run this command in the terminal:-
python3 sign_data_converter.py [main directory path] [new xlsx files path]
To collect the xlsx files to one file run this command :-
python3 collecter.py [xlsx files directory path] [new xlsx file path/name]
app :- gets the data and modifies it to be processable
knnapp:- trains the KNN model on the dataset and gets the loss rate and the confusion matrix
treeApp:- trains the decision tree model on the dataset and gets the loss rate and the confusion matrix
nbApp:- trains the naive bayes model on the dataset and gets the loss rate and the confusion matrix