ml

Machine Learning Case source data http://archive.ics.uci.edu/ml/datasets.html

A. Classification: 1) KNN --class 2) Naive Bayes --e1071 3) Decision Tree --C5.0 4) classification rule --RWeka

B. Regression: 1) lm residuals fitted values leverage Adjusted R-squared 2) tree rpart

C. Cluster: kmeans(lapply)

D. Recommender: 1) Content-Based Filtering 2) Collaborative Filtering CF user-based CF /item-based CF

E. Association Rule: Apriori

F. SVM: MMH kernel kernlab/e1071/ROCR

G. Artifical Neural Network(ANN): neuralnet(compute)

Benchmark classification regreeion