



How can the performance of a J48 model be evaluated?
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what is j48 algorithm
- Can decision trees be adapted to explicitly model hierarchical relationships?
- What are some common issues encountered during the deployment of J48 models?
- Can J48 effectively capture non-monotonic relationships?
- What are the advantages of neural networks compared to J48?
- In what situations is interpretability a more critical factor than pure predictive accuracy?
- How can confusion matrices and other diagnostic tools be used to understand J48's performance?
- How can fairness be incorporated into decision tree learning?
- What is subtree raising in J48?
- How can J48 be adapted for online and incremental learning scenarios?
- What are ensemble methods based on decision trees, and how does J48 relate?
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