Applied predictive modeling /
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| Author / Creator: | Kuhn, Max. |
|---|---|
| Imprint: | New York, NY : Springer, c2013. |
| Description: | 1 online resource. |
| Language: | English |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/9851075 |
Table of Contents:
- General Strategies. A Short Tour of the Predictive Modeling Process
- Data Pre-processing
- Over-Fitting and Model Tuning
- Regression Models. Measuring Performance in Regression Models
- Linear Regression and Its Cousins
- Nonlinear Regression Models
- Regression Trees and Rule-Based Models
- A Summary of Solubility Models
- Case Study: Compressive Strength of Concrete Mixtures
- Classification Models. Measuring Performance in Classification Models
- Discriminant Analysis and Other Linear Classification Models
- Nonlinear Classification Models
- Classification Trees and Rule-Based Models
- A Summary of Grant Application Models
- Remedies for Severe Class Imbalance
- Case Study: Job Scheduling
- Other Considerations. Measuring Predictor Importance
- An Introduction to Feature Selection
- Factors That Can Affect Model Performance.