K-Fold Cross Validation and Classification Accuracy of PIMA Indian Diabetes Data Set Using Higher Order Neural Network and PCA

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.