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1 Use the ABIDE case-study

These data include imaging, clinical, genetics and phenotypic data for over 1,000 pediatric cases - Autism Brain Imaging Data Exchange (ABIDE).

  • Apply several models (e.g., C5.0, k-Means, linear models, neural nets) to predict the clinical diagnosis using part of the data (training data)
  • Evaluate the models performance, using confusion matrices, accuracy, \(\kappa\), precision and recall, F-measure, etc.
  • Evaluate, compare and interpret the results
  • Use the ROC to examine the tradeoff between detecting true positives and avoiding the false positives and report AUC
  • Finally, apply cross validation on C5.0 and report CV error.

You can also try the same procedure on other data in the list of Case-Studies.

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