%0 Journal Article
%T K-Fold Cross Validation and Classification Accuracy of PIMA Indian Diabetes Data Set Using Higher Order Neural Network and PCA
%A Raj Anand
%A Vishnu Pratap Singh Kirar
%A Dr. Kavita Burse
%J International Journal of Soft Computing & Engineering
%D 2013
%I International Journal of Soft Computing & Engineering
%X Neural network techniques have been successfully applied for diagnosis of Type II diabetes. We propose a K-Fold cross validation method for classification of PIMA Indian diabetes data set. The classification accuracy is computed with PCA preprocessing and higher order neural network. The problem of missing data in the analysis and decision making process is handled through PCA. PCA also scales the data in the same range of values.
%K Type II diabetes
%K Pima Indian data set
%K higher order neural networks
%K data pre-processing
%K K cross validation
%K PCA.
%U http://www.ijsce.org/attachments/File/v2i6/F1212112612.pdf