000			01870nmm a22003137a 4500
003			SPU
005			20210704205520.0
008			200717b2013 nyu|||||o|||| 00| 0 eng d
020			_a9781461468493 (E-book)
040			_aSPU _cSPU
050		4	_aQA 276 _bK83A 2013
100			_aKuhn, Max _9238077
245	1	0	_aApplied predictive modeling / _cMax Kuhn, Kjell Johnson _h[electronic resource]
260			_aNew York : _bSpringer, _c2013
300			_a1 online resource
449			_a140501
449			_a111105
504			_aIncludes bibliographical references and index
505			_aGeneral strategies -- A short tour of the predictive modeling process -- Data pre-processing -- Over-fitting and model tuning -- Regression models -- Measuring performance in regression models -- Linear regression and its cousins -- Nonlinear regression models -- Regression trees and rule-based models -- A summary of solubility models -- Case study : compressive strength of concrete mixtures -- classification models -- Measuring performance in classification models -- Discriminant analysis and other linear classification models -- Nonlinear classification Models -- Classification trees and rule-based models -- A summary of grant application models -- Remedies for severe class imbalance -- Case study : Job scheduling -- Other considerations -- Measuring predictor importance -- An introduction to feature selection -- Factors that can affect model performance
650		0	_aMATHEMATICAL MODELS _946876
650		0	_aMATHEMATICAL STATISTICS _935000
650		0	_aPREDICTION THEORY _9237949
700			_aJohnson, Kjell _9238078
850			_aSPU
856			_uhttps://drive.google.com/file/d/1Ug_FnaB-F7ixhYxN09s-s8l9lZDyqleX/view?usp=sharing _yView Full-text
910			_aLibrary _bSpringer _c170720
942			_2lcc _cEBK
998			_aniparat 0720 _bniparat 0720
999			_c198324