Feature Engineering and Selection
portes grátis
Feature Engineering and Selection
A Practical Approach for Predictive Models
Johnson, Kjell; Kuhn, Max
Taylor & Francis Ltd
06/2021
314
Mole
Inglês
9781032090856
15 a 20 dias
453
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Chicago Transit Authority;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;Linear Projection Methods;Feature Subset;Effect Heredity Principle;AIC Statistic;Imaging Predictors;Feature Selection;Desirability Functions;PLS Component;Categorical Predictors;Stem Job
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Chicago Transit Authority;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;Linear Projection Methods;Feature Subset;Effect Heredity Principle;AIC Statistic;Imaging Predictors;Feature Selection;Desirability Functions;PLS Component;Categorical Predictors;Stem Job
