CLASSIFICATION AND PREDICTION - Universität Wien
CLASSIFICATION AND PREDICTION - Universität Wien
CLASSIFICATION AND PREDICTION - Universität Wien
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Peter Brezany Institut für Softwarewissenschaft, WS 2002 16<br />
Example (3)<br />
Calculations of weight and bias updating.<br />
Weight or bias<br />
New value<br />
-0.3+(0.9)(0.1311)(0.332)=-0.261<br />
wd;g<br />
-0.2+(0.9)(0.1311)(0.525)=-0.138<br />
wf„g<br />
Slide 30<br />
0.2+(0.9)(-0.0087)(1)=0.192<br />
w$d<br />
-0.3+(0.9)(-0.0065)(1)=-0.306<br />
wef<br />
w _ d 0.4+(0.9)(-0.0087)(0)=0.4<br />
w _ f 0.1+(0.9)(-0.0065)(0)=0.1<br />
w d<br />
w a f 0.2+(0.9)(-0.0065)(1)=0.194<br />
a<br />
-0.5+(0.9)(-0.oo87)(1)=-0.508<br />
g 0.1+(0.9)(0.1311)=0.218<br />
h<br />
f 0.2+(0.9)(-0.0065)=0.194<br />
h<br />
h.d -0.4+(0.9)(-0.0087)=-0.408<br />
Estimating Classifier Accuracy<br />
Slide 31<br />
Data<br />
Training<br />
set<br />
Derive<br />
classifier<br />
Estimate<br />
accuracy<br />
Test set<br />
Figure 3:
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