Alienbushman/Ensemble-model-for-Swahili-News-Classification

An example of applying a ensemble model using stacking estimates on a low resource language # Ensemble models for Swahili News Classification ## Where to get the data To get the data to run this model, download the files from swahili-news-classification and place them in a 'Data' folder ## How the code works - The model executes the machine learning models with use of the run\_features function - The choice of models is outlined in the all\_models function - Ensemble model: The model makes use of the models in all\_models outputing their prediction probababilty and outputting them as input features (using cross validation so that there is a prediction probability for each element using the function save\_feature\_probabilities). A second model then combines the prediction probabilities into a new model ## Extra insights The rest is a simple to run jupyter notebook, along with an overview of the aproach in the file "Overview of aproach.pdf"