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Progress Toward the Determination of Correct Classification Rates in Fire Debris Analysis , ,
Author(s) -
Waddell Erin E.,
Song Emma T.,
Rinke Caitlin N.,
Williams Mary R.,
Sigman Michael E.
Publication year - 2013
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/1556-4029.12159
Subject(s) - debris , linear discriminant analysis , quadratic classifier , residue (chemistry) , mass spectrometry , environmental science , mathematics , chromatography , forensic engineering , statistics , artificial intelligence , chemistry , computer science , engineering , physics , meteorology , biochemistry , support vector machine
Principal components analysis ( PCA ), linear discriminant analysis ( LDA ), and quadratic discriminant analysis ( QDA ) were used to develop a multistep classification procedure for determining the presence of ignitable liquid residue in fire debris and assigning any ignitable liquid residue present into the classes defined under the American Society for Testing and Materials ( ASTM ) E 1618‐10 standard method. A multistep classification procedure was tested by cross‐validation based on model data sets comprised of the time‐averaged mass spectra (also referred to as total ion spectra) of commercial ignitable liquids and pyrolysis products from common building materials and household furnishings (referred to simply as substrates). Fire debris samples from laboratory‐scale and field test burns were also used to test the model. The optimal model's true‐positive rate was 81.3% for cross‐validation samples and 70.9% for fire debris samples. The false‐positive rate was 9.9% for cross‐validation samples and 8.9% for fire debris samples.