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Predictive modelling

Known as: CARBOB, Predictive Models, California Predictive Model 
Predictive modeling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be… 
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Papers overview

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Review
2016
Review
2016
Many real-world data-mining applications involve obtaining predictive models using datasets with strongly imbalanced… 
Highly Cited
2016
Highly Cited
2016
Accuracy and interpretability are two dominant features of successful predictive models. Typically, a choice must be made in… 
Highly Cited
2013
Highly Cited
2013
General Strategies.- Regression Models.- Classification Models.- Other Considerations.- Appendix.- References.- Indices. 
Highly Cited
2008
Highly Cited
2008
The caret package, short for classification and regression training, contains numerous tools for developing predictive models… 
Highly Cited
2002
Highly Cited
2002
  • 2002
  • Corpus ID: 13187378
Highly Cited
1997
Highly Cited
1997
Abstract We present a quantitative model to describe the partitioning of rare earth elements (REE) and Y between clinopyroxene… 
Review
1996
Review
1996
I. The Genetic Basis of Quantitative Variation - An Overview of Quantitative Genetics - Properties of Distributions - Covariance… 
Highly Cited
1993
Highly Cited
1993
In this paper a new genetic algorithm called the Breeder Genetic Algorithm (BGA) is introduced. The BGA is based on artificial…