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, κ, 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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| 2025 |