Regression model validation

Results: 141



#Item
51Summary statistics / Statistical models / Statistical tests / Percentile / Mathematical model / Root-mean-square deviation / Cross-validation / Economic model / Coefficient of determination / Statistics / Model selection / Regression analysis

Percentile analysis for goodness-of-fit comparisons of models to data Sangeet Khemlani and J. Gregory Trafton [removed], [removed] Navy Center for Applied Research in Artificial Intelligence US Naval

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Source URL: mindmodeling.org

Language: English - Date: 2014-08-06 20:51:40
52Econometrics / Business intelligence / Decision trees / Predictive Model Markup Language / Cross-validation / ADAPA / Pruning / Nonparametric regression / Predictive analytics / Statistics / Regression analysis / Machine learning

PDF Document

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Source URL: www.salford-systems.com

Language: English - Date: 2013-07-15 05:50:45
53Data analysis / Model selection / Data mining / Overfitting / Cross-validation / Mathematical model / Predictive analytics / Statistics / Machine learning / Regression analysis

Data Mining Misconceptions #2: How Much Data … By Tim Graettinger “How much data do I need for data mining?” In my experience, this is the most-frequently-asked of all frequently-asked questions about data mining.

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Source URL: www.discoverycorpsinc.com

Language: English - Date: 2010-11-10 21:25:19
54Business intelligence / Econometrics / Decision trees / Predictive Model Markup Language / ADAPA / Cross-validation / Pruning / Data mining / Nonparametric regression / Statistics / Regression analysis / Machine learning

SalfordSystems_Vertical_cmyk

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Source URL: media.salford-systems.com

Language: English - Date: 2013-07-26 03:41:06
55Econometrics / Cross-validation / Model selection / Receiver operating characteristic / Nonparametric regression / Statistics / Regression analysis / Machine learning

SalfordSystems_Vertical_cmyk

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Source URL: media.salford-systems.com

Language: English - Date: 2013-07-26 03:42:24
56Regression analysis / Statistical inference / Statistical models / Cross-validation / Neural network / Data mining / Overfitting / Training set / Regression model validation / Statistics / Machine learning / Data analysis

Combining Multiple Models Across Algorithms and Samples for Improved Results Haleh Vafaie, PhD. Federal Data Corporation Bethesda, MD [removed]

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Source URL: www.abbottanalytics.com

Language: English - Date: 2010-08-10 08:15:57
57Cross-validation / Model selection / Predictive Model Markup Language / Receiver operating characteristic / Nonparametric regression / Statistics / Regression analysis / Machine learning

SalfordSystems_Vertical_cmyk

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Source URL: media.salford-systems.com

Language: English - Date: 2013-07-26 03:41:45
58Forecasting / Multicollinearity / Chemometrics / Cross-validation / Calibration / Ordinary least squares / Statistics / Regression analysis / Linear regression

20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Long Term Water Demand Forecasting: Use of Monte Carlo Cross Validation for the Best Model Se

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-11-19 22:12:48
59Stepwise regression / Linear regression / Coefficient of determination / Ordinary least squares / Cross-validation / Mean squared error / Akaike information criterion / Predictive analytics / Durbin–Watson statistic / Statistics / Regression analysis / Logistic regression

SPM Users Guide Introducing Generalized PathSeeker This guide provides a brief introduction to GPS as well as a guide insight for model interpretation. Introducing Generalized PathSeeker

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Source URL: media.salford-systems.com

Language: English - Date: 2013-08-07 00:03:52
60Multivariate adaptive regression splines / Linear regression / Multicollinearity / Decision tree learning / Additive model / Regression model validation / Logistic regression / Predictive modelling / Predictive analytics / Statistics / Regression analysis / Nonparametric regression

Journal of Vegetation Science 15: [removed], 2004 © IAVS; Opulus Press Uppsala. - Comparison of statistical methods commonly used in predictive modelling[removed]

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Source URL: media.salford-systems.com

Language: English - Date: 2013-07-26 03:41:39
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