--> Binary Classification with Artificial Neural Network. <--
In this project Elman Simple Recurrent Network with 1 hidden layer is used to design and implement binary classification.
Data set (credit data) is a sample data for binary classification where class=”yes” is the positive type.
For weight updates error back-propagation is used.
As the non-linear output activation function Sigmoid function is used.
Stratified cross-validation with 10 folds is used.
The orijinal sample data is in credit-data.txt file. I've seperated good and bad classes in two text files.