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Week01

Page history last edited by hoffman.tricia@gmail.com 8 years, 10 months ago

First for Review:  Linear Regression

 

Lectures:

EnsembleMethods.pdf     ClassImbalanceMulticlass.pdf    chap5.pdf    chap6_basic_association_analysis.pdf

 

Giovanni Seni - Ensemble Methods   Ethem Alpaydin - Combining Multiple Learners  Rajan Patel

 

 

 

 Reference Material: Papers

 

Helpful Book on Ensemble Methods -

Seni, Giovanni and Elder, John, Ensemble Methods in Data Mining, Morgan & Claypool, 2010

 

Here's an amazon link to the book:

http://www.amazon.com/Ensemble-Methods-Data-Mining-Predictions/dp/1608452840/ref=sr_1_1?ie=UTF8&s=books&qid=1287690908&sr=8-1

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)

 

Here is a web page on ROC curves.

 

Examples:

Random Forest on Sonar Data:  AdaBoostRandomForestSonar.R   

Brimean Bagging Algorithm       Bagging.R  (coded by Abhishek Dubey)

Create a ROC curve from Example in Text  ROC.R    

ROC for the Sonar Data   ROCSonar.R

Multiclass Example (Iris Data)  IrisDataMulticlass.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   irisdata.csv

 

 

Homework:   Homework 01

 

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