Computer Science Homework Help. Machine Learning Techniques to Improve Performance Exercise
I’m working on a machine learning multi-part question and need an explanation to help me learn.
The learning objective for this exercise is to understand various techniques to improve performance.
Select any dataset including the one from your HW01.
Select three individual classifiers atleast one from (logistic, NaiveBayes, LDA) atleast one from (Tree,kNN,SVM)
Run Cross Validation, LOOCV. and bagging over the three classifiers selected.
Run an experiment changing the training set from 10% to 90%,using the rest as test data set and collect statistics over all three classifiers selected
Run bagging, randomForest,gbm,xgbm collect standard statistics. Build a table.
Report your findings using tables and charts as needed.
Try to parallelize your implementation. Try to implement reusable framework so that you do not custom scripts for each case.
