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ML101wk4

Page history last edited by hoffman.tricia@gmail.com 9 years, 5 months ago

Lectures:

chap5_alternative_classification.pdf   (k-nearest neighbor, Bayesian,  and time permitting Support Vector Machine)

 

BayesRule.pdf  BayesDeal.pdf

 

 Reference Material Naive Bayes  Documentation 

 

 

Examples:

k Nearest Neighbor:  MixSim.R   KfirstNearestNeighbor.R  (uses Sonar Data - illustrates effect of normalizing data before knn performed)

Naive Bayes Classification:  NaiveBayesClassifier.R 

More Naive Bayes and some not-so-naive Bayes:  GDA.R

Support Vector Machine svm1.R

 

Data Files:

The Wine Data Set and the Iris Data Set are on UC Irvine's database web site

Sonar Data Sets:  sonar_test.csv   sonar_train.csv   mixtureSimData.data

 

 

Homework:

Homework04.pdf

BabyEnsemble.R

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