Download presentation

Presentation is loading. Please wait.

Published byShyanne Gibble Modified over 3 years ago

1
R for Classification Jennifer Broughton Shimadzu Research Laboratory Manchester, UK jennifer.broughton@srlab.co.uk 2 nd May 2013

2
Classification? Automatic Identification of Type (Class) of Object from Measured Variables (Features) Object TypeFeature1Feature2Feature3…….Feature n Label 1val[1,1]val[1,2]val[1,3]……. val[1,n] Label 2val[2,1]val[2,2]val[2,3]…….val[2,n] ………….…….…….…….……… Label mval[m,1]val[m.2]val[m,3]…….val[m,n] 2 of 17

3
Example Data 3 of 17

4
Data Preparation & Investigation EDA Technique Box Plots PCA Decision Trees Clustering Training Set Best features to distinguish between classes Relationships between features Feature reduction 4 of 17

5
Box Plots PCA & Multivariate Analysis: ade4 FactoMineR 5 of 17

6
Example Classifier 6 of 17

7
Classification Algorithms in R Rattle: R Analytical Tool to Learn Easily ( Rattle: A Data Mining GUI for R, Graham J Williams, The R Journal, 1(2):45-55 ) 7 of 17

8
SVM 8 of 17

9
Ensemble Algorithm 9 of 17

10
Training and Testing Classification Algorithm: Neural Network Support Vector Machine Random Forest Training Set (labelled) Test Set (unlabelled) Trained Classifier Classification Results Prediction Results + Labels Assess Predictions: Confusion Matrix ROC Curve (2 categories) …. 10 of 17

11
Using Classifiers in R Select Training Data Build Classifier Run Classifier classifier algorithm(formula, data, options) (boosting and nnet) classifier.pred predict(classifier, newdata, options) 11 of 17

12
SVM & Neural Net Tuning 12 of 17

13
Classifier Feedback print(classifier) plot(classifier) high Gini Coefficient = high dispersion 13 of 17

14
Classifier Prediction Results predict(type = “class”) predict(type = “prob”) confusion matrix 14 of 17

15
False Negative False Negative True Positive True Positive True Negative True Negative False Positive False Positive Binary Classification Results Y N Class Present? Class Detected? Y N 15 of 17

16
ROC Curves in R ROCR package 16 of 17

17
Example Results 17 of 17

Similar presentations

OK

1 Pattern Recognition Pattern recognition is: 1. The name of the journal of the Pattern Recognition Society. 2. A research area in which patterns in data.

1 Pattern Recognition Pattern recognition is: 1. The name of the journal of the Pattern Recognition Society. 2. A research area in which patterns in data.

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on formal and informal letters Maths ppt on areas related to circles Sample ppt on importance of english Ppt on teachers day free download Ppt on forward rate agreement quotes Ppt on 9/11 conspiracy essay Ppt on 98 notified sections of companies act 2013 Ppt on unity in diversity indonesia Ppt on organic farming in india Seminar ppt on blue brain