Applied predictive modeling /
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| Format: | Book |
| Language: | English |
| Published: |
New York :
Springer,
[2013].
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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.