In this project we evaluate critical success factors for an IT score, by means of Principal Component Analysis (PCA) and Recursive Feature Elimination (RFE) applied for selected classification algorithms, in order to identify the features that are more discriminative and useful for prediction of the IT score, given the questions responses.

The results are available in our paper.

Citing us:

If you consider our project in a scientific publication, we would appreciate citations to the following paper:

@article{ramos2015multidimensional,
  title={Multidimensional analysis of critical success factors for IT Governance within the Brazilian Federal Public Administration},
  author={Ramos, Karoll Haussler Carneiro and Vieira, Thiago Pereira Brito and da Costa, JPCL and de Sousa J{\'u}nior, Rafael Tim{\'o}teo},
  journal={The Light of External Auditing Data. 12th International CONTECSI},
  year={2015}
}