Author : Parikshit Ram (pram@cc.gatech.edu) The files are the following: 1. nbc_main.cc - this is the main which creates an object of the class SimpleNaiveBayesClassifier, trains it, tests it and outputs the results. The executable formed is called "simple_nbc_main". - the parameters taken in by the main are the following: --train : the file that contains the training data, the last column being the class of the data point --nbc/classes : the number of classes the data provided has been classified into --test : this file contains the testing data, this still contains its actual labels on the last column, but it is not used. --output : the file into which you want the output to be written into, defaults to "output.csv" (but it does not output in .csv format, it outputs in the "pretty-print" format) 2. simple_nbc.h - this is the file that contains the definition of the class SimpleNaiveBayesClassifier. The rest of the details are present in the file itself. 3. phi.h - this contains the function that calculates the value of the univariate Gaussian pdf 4. math_functions.h - this file contains functions like returning the highest element and its index in an array/vector. 5. test_simple_nbc_main.cc - this file contains the class which tests the class SimpleNaiveBayesClassifier. The executable formed is "test_simple_nbc_main". - the parameters taken in by this are the following: --training_set : the training set, defaults to the file "trainSet.arff" --training_results : the training results, defaults to the file "trainRes.arff" --testing_set : the testing set, defaults to the file "testSet.arff" --testing_results : the testing results, defaults to the file "testRes.arff" --num_classes : the number of classes in the data, defaults to "2", which in the number of classes of the data present in the default files 6. the .arff files, whose use has been described above. 7. build.py - you might want to take a look at them for the purpose of seeing what all files are used where. -> An example run would the following: fl-build simple_nbc_main ./simple_nbc_main --train=trainSet.arff --nbc/classes=2 --test=testSet.arff --output=output_example.csv -> An example run of the testing class would be the following: fl-build test_simple_nbc_main ./test_simple_nbc_main Note: you don't need to give any parameters for testing because it will use the defaults. In case you want to give your own training and test sets, you know how to do it.