--------------------------------
Dr. Andrea Boni
University of
Trento
Faculty of Engineering
Via Mesiano, 77
I-38050 Povo (TN),
Italy.
--------------------------------
tel :
+39-0461-882440
fax : +39-0461-881977
email :
[log in to unmask]http://leoesd.ing.unitn.it/--------------------------------
----- Original Message -----
Sent: Monday, October 01, 2001 8:25
PM
Subject: analyze the performance of svm -
urgent
Hi all,
I am currently writing a paper
on comparison of SVMs, neural nets and
KNN classifiers for digit recognition when the
training set is very small. We
have created our own dataset, with 250
training samples and 2047 testing
samples. In my experiments, I observed that while
linear SVM gives an
accuracy of 81.44%, polynomial, RBF and sigmoid
kernels give accuracy
of about 20%. I am unable to understand why there
is such a big difference
in their performance. If somebody could clarify
why this is happening, I'd be
glad.
-P.SatPrem
Reddy