_PROBLEM CoEPrA-2006_Classification_003

_GROUP_NAME B.D. Kulkarni

_GROUP_MEMBERS
P.S. Shelokar
V.K. Jayaraman
B.D. Kulkarni

_ADDRESS
Chemical Engineering & Process Development Division
National Chemical Laboratory
Pune 411 008
India


_MODELING_PROCEDURE
 No new Descriptors are used.
 Intially feature extraction is performed using PCA
 on the given calibration data set.
 PCA produced 132 principal components out of which
 frist 50 pcs are used to transform the data.
 10-fold cross-validation procedure is appled to
 develop SVM Classifer using transformed data.
 
 SVM algorithm : LibSVM
 kernel: linear
 C value = 8.0
 rho = -7.8774
 Average Cross-Validation Accuracy = 61.17%
 Support Vectors = 69

_PREDICTION
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