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Regression model validation
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41	Machine Learning, 48, 51–84, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Metric-Based Methods for Adaptive Model Selection and Regularization Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-24 16:48:47 Kullback–Leibler divergence Regression analysis Regularization Metric space Cross-validation Statistical hypothesis testing Normalizing constant Statistics Machine learning Supervised learning
42	USING DATA MINING TO PREDICT SECONDARY SCHOOL STUDENT PERFORMANCE Paulo Cortez and Alice Silva Dep. Information Systems/Algoritmi R&D Centre University of MinhoGuimar˜aes, PORTUGAL Add to Reading List Source URL: www3.dsi.uminho.pt Language: English - Date: 2008-08-01 07:17:42 Statistical classification Decision trees Support vector machine Feature selection Regression analysis Data mining Cross-validation Decision tree learning Data analysis Statistics Machine learning Model selection
43	ECOSYSTEMS Ecosystems: 396 – 411 DOI: s100210000035 © 2000 Springer-Verlag Add to Reading List Source URL: www.esd.ornl.gov Language: English - Date: 2000-09-18 11:24:21 Biology Systems ecology Ecology Plants Primary production Climate Regression model validation Ecosystem model Economic model Statistics Science Regression analysis
44	5.10 Additional File 10: Information included in OpenTox Reports Information that should be included in most OpenTox reports is as follows:_Â¶_ General information Date Runtime User (if available) Add to Reading List Source URL: jcheminf.com Language: English Cheminformatics Computational chemistry Medicinal chemistry Pharmacology Quantitative structure–activity relationship Regression model validation Validation Statistics Science Chemistry
45	Residual analysis for spatial point processes A. Baddeley University of Western Australia, Perth, Australia R. Turner University of New Brunswick, Fredericton, Canada Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2005-03-30 02:35:49 Spatial data analysis Econometrics Statistical models Point process Poisson process Complete spatial randomness Regression model validation Spatial analysis Errors and residuals in statistics Statistics Regression analysis Stochastic processes
46	Common Mistakes in Building QSAR Models Damjan Krstajić Research Centre for Cheminformatics Belgrade, Serbia www.rcc.org.rs Add to Reading List Source URL: cisrg.shef.ac.uk Language: English - Date: 2014-03-31 11:07:35 Model selection Estimation theory Econometrics Cross-validation Quantitative structure–activity relationship Linear regression Feature selection Tikhonov regularization Overfitting Statistics Machine learning Regression analysis
47	13 Producing and Interpreting Residuals Plots in SPSS Add to Reading List Source URL: core.ecu.edu Language: English Linear regression Homoscedasticity Coefficient of determination Partial regression plot Regression model validation Statistics Regression analysis Errors and residuals in statistics
48	Producing and Interpreting Residuals Plots in SAS In a linear regression analysis it is assumed that the distribution of residuals is, in the population, normal at every level of predicted Y and constant in variance ac Add to Reading List Source URL: core.ecu.edu Language: English - Date: 2011-11-15 12:14:30 Parametric statistics Estimation theory Measurement Errors and residuals in statistics Homoscedasticity Linear regression Partial regression plot Regression model validation Statistics Regression analysis Econometrics
49	Geosci. Model Dev., 5, 1061–1073, 2012 www.geosci-model-dev.netdoi:gmd © Author(sCC Attribution 3.0 License. Geoscientific Add to Reading List Source URL: www.geosci-model-dev.net Language: English - Date: 2014-12-04 04:08:41 Statistical models NetCDF Regression diagnostics Economic model Regression analysis Regression model validation Climate model Plot Statistics Atmospheric sciences Earth sciences graphics software
50	Appears in From Statistics to Neural Networks: Theory and Pattern Recognition Applications, V. Cherkassky, J.H. Friedman and H. Wechsler (eds.), NATO ASI Series F, Springer-VerlagPrediction Risk and Architecture Add to Reading List Source URL: www.smartquant.com Language: English - Date: 2014-02-08 06:27:50 Regression analysis Model selection Least squares Cross-validation Resampling Pruning Overfitting Training set Estimation theory Statistics Machine learning Statistical inference

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