FILES IN THE DISK : 

1. DT_RESULTS_SAMPLE.txt : The output file of Decision Tree applied by Weka J48 on the original dataspace.(Input1)
2. SVM_RFE_RESULTS_SAMPLE.txt : The output file of Recursive Feature Elimination with Support Vector Machine applied by Weka on the original dataspace. The number of dimension in the output data is pre-determined as 13. (Input2)
3. SVM_RFE_RESULTS_SAMPLE.txt : The output file of Recursive Feature Elimination with Support Vector Machine applied by Weka on the original dataspace. The number of dimension in the output data is pre-determined as 7. (Input3)
4. PCA_RESULTS_SAMPLE.txt : The output file of Principal Component Analysis applied by Matlab (code is given as ApplyPCA.m).(Input4)
5. FA_RESULTS_SAMPLE.txt : The output file of Factor Analysis. (Input5)
6. Pnn.m : Probabilistic Neural Network Matlab Code File
7. ApplyPCA.m : Principal Component Analysis MAtlab Code File
8. pca.m : Principal Component Analysis MAtlab Code File
9. hidden_unit_activation_weights_dataset2.txt : Output file of Multilayer Perceptron for Input2
10. Subset2_normalized_matlab.txt : Normalized version of Input2
11. hidden_unit_bias_dataset2.txt : Output file of Multilayer Perceptron for Input2
12. Ruleextraction_activation_value_calculation.m : Matlab code of neural rule extraction in module2
13. hidden_unit_activation_values_dataset2.txt : Output of Ruleextraction_activation_value_calculation.m.
14. rule1_dataset.txt : Output of Ruleextraction_activation_value_calculation.m
15. rule2_dataset.txt : Output of Ruleextraction_activation_value_calculation.m
16. rule3_dataset.txt : Output of Ruleextraction_activation_value_calculation.m
17. J48Results for rule1.txt : Output of Weka-J48 for rule1
18. J48Results for rule2.txt : Output of Weka-J48 for rule2
19. mlp_prob_dataset2.txt : MLP results for PD Estimation
20. PD_dataset_mlp_results.txt : Logistic Regression results on MLP results for PD estimation
21. PD_Calibration.m : Matlab Code of PD Calibration phase
22. calibrated_PD.txt : Calibrated PD values, output of PD_Calibration.m code.
23. kmeansclustering.m : K-means Clustering matlab code
24. kmeansresults.txt : kmeansclustering.m output file



HARDWARE REQUIREMENTS : 

1. Matlab R2007 : Windows XP
2. SAS Enterprise Guide : Windows XP
3. WEKA 3.5.8 : Windows XP 

SOFTWARE REQUIREMENTS : 

1. Matlab R2007 
2. SAS Enterprise Guide 
3. WEKA 3.5.8  
