- Statistical algorithms
- LOESS regression and regularized regression
- Instance-based learning algorithms
- Naive Bayes based algorithm
- Tree-based Algorithms
- Tree-algorithm structure and building process
- Binary and multi-way splits
- Tree-based ensemble algorithms
- Notes and code
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- Optional Reading Assignments
- Written Assignment: Predictive Modeling - Part II
- Use the same data set you used last week to implement the decision algorithm.
- Create several candindate models and choose the best one via ROC analysis
- Use ROC analysis to choose the best one from logistic, Percetron, and decision tree algorithms.
Due: 11:30 PM, Thursday, 11/14/2024
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