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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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Highly Cited
2016
Highly Cited
2016
Accuracy and interpretability are two dominant features of successful predictive models. Typically, a choice must be made in… 
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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… 
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Review
2007
Review
2007
Predictive vegetation modeling (PVM), is defined as predicting the distribution of vegetation across a landscape based on the… 
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Review
2006
Review
2006
A statistical meta-analysis of the technology acceptance model (TAM) as applied in various fields was conducted using 88… 
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Highly Cited
2005
Highly Cited
2005
In machining of parts, surface quality is one of the most specified customer requirements. Major indication of surface quality on… 
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Highly Cited
2003
Highly Cited
2003
Abstract The Genetic Algorithm for Rule-Set Prediction (GARP) is one of several current approaches to modeling species… 
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Review
2000
Review
2000
With the rise of new powerful statistical techniques and GIS tools, the development of predictive habitat distribution models has… 
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…