Feature Engineering and Selection

Feature Engineering and Selection

A Practical Approach for Predictive Models

Johnson, Kjell; Kuhn, Max

Taylor & Francis Ltd

08/2019

314

Dura

Inglês

9781138079229

15 a 20 dias

834

Descrição não disponível.
1. Introduction. 2. Illustrative Example: Predicting Risk of Ischemic Stroke. 3. A Review of the Predictive Modeling Process. 4. Exploratory Visualizations. 5. Encoding Categorical Predictors. 6. Engineering Numeric Predictors. 7. Detecting Interaction Effects. 8. Handling Missing Data. 9. Working with Profile Data. 10. Feature Selection Overview. 11. Greedy Search Methods. 12. Global Search Methods.
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Chicago Transit Authority;Kernel PCA;Multiple Linear Regression;Training Set Points;Roc Curve;Recursive Feature Elimination;Data Set;Random Forest;Cart Tree;Missing Values;Dummy Variables;Lipid Rich Necrotic Core;Missing Data;PLS Model;Naive Bayes Model;Simulated Annealing;Feature Subset;Feature Selection;Imaging Predictors;AIC Statistic;Desirability Functions;Linear Projection Methods;Categorical Predictors;Partial Regression Plot;Effect Heredity Principle