esknnClass: Train ensemble of subset of k-nearest neighbours classifiers...

In ESKNN: Ensemble of Subset of K-Nearest Neighbours Classifiers for Classification and Class Membership Probability Estimation

Description

Constructing m, models and search for the optimal models for classification.

Usage

esknnClass(xtrain, ytrain, k = NULL, q = NULL, m = NULL, ss = NULL)

Arguments

xtrain	A matrix or data frame of size n x d dimension where n is the number of traing observation and d is the number of features.
ytrain	A vector of class labels of the training data. Class labels should be factor of two levels (0,1) represented by variable Class in the data..
k	Number of nearest neighbours to be considered, when NULL then the default is set tok=3.
q	Percent of models to be selected from the initial set m.
m	Number of models to be generated in the first stage, when NULL the default is m=501.
ss	Feature subset size to be selected from d features for each bootstrap sample, when NULL the default is (number of features)/3.

Value

trainfinal	List of the extracted opimal models.
fsfinal	List of the features used in each selected models.

Author(s)

Asma Gul <[e-mail]>

References

Gul, A., Perperoglou, A., Khan, Z., Mahmoud, O.,Miftahuddin, M., Adler, W. and Lausen, B.(2014), Ensemble of Subset of kNN Classifiers, Journal name to appear.

See Also

Predict.esknnClass

Examples

# Load the data

  data(hepatitis)
  data <- hepatitis

# Divide the data into testing and training parts

  Class <- data[,names(data)=="Class"]
  data$Class<-as.factor(as.numeric(Class)-1)
  train <- data[sample(1:nrow(data),0.7*nrow(data)),]
  test <- data[-(sample(1:nrow(data),0.7*nrow(data))),]
  ytrain<-train[,names(train)=="Class"]
  xtrain<-train[,names(train)!="Class"]
  xtest<-test[,names(test)!="Class"]
  ytest <- test[,names(test)=="Class"]
  
# Trian esknnClass

  model<-esknnClass(xtrain, ytrain,k=NULL)

# Predict on test data

  resClass<-Predict.esknnClass(model,xtest,ytest,k=NULL)
  
# Returning Objects are predicted class labels, confusion matrix and classification error

  resClass$PredClass
  resClass$ConfMatrix             
  resClass$ClassError 
 

ESKNN documentation built on May 2, 2019, 6:25 a.m.