test bed for the unlabeled Model selection algorithms
main.py : This script was used to test the idea of model selection using the majority vote. The data sets used were the boston and iris data set available in scikit-learn
trainingUnit.py : This script trains the classifiers for activity recognition using the activity recognition data set from our own study
rankingUnit.py : In this script is computed the model selection using the previously trained classification models