Download Mining the FIRST Astronomical Survey Imola K. Fodor and Chandrika Kamath

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Transcript
Misclassification errors of best models
are below the desired 10% in training set



Careful selection of variables reduces error
Trees are less sensitive to input features than GLMs
GLM 4 has lowest misclassification errors
Tree 1
Tree 2
Tree 3
Mean
11.1%
9.5%
8.3%
SE
0.4%
0.4%
0.4%
GLM 2
GLM 3 GLM 4
Mean
18.74% 7.84%
4.00%
SE
4.34%
1.14%
0.91%
Misclassification errors based on 10 ten-fold cross-validations in the training set
CASC
Sapphire/IKF 23