This project inmplements a tree bagger algorithm to solve the Kaggle Challenge in class 4721 Columbia University.

#main_sript.m the script that implements the algorithm. MATLAB loads the data pre-treats the data call a cross validation function predict the labels and write two files: out_analisys.csv: cross validation results now.csv: with the predicted label for the quiz

#f2_map.m
creates a feature map order 2 for a given numeric dataset

#fix_2.m scales the variables

#create_dumm.m creates dummy variables for given categorical variable

#cross_val.m
implements a cross validation training using the treebagger classifier. (see doc https://www.mathworks.com/help/stats/treebagger.html)