Index
A
accuracy criterion 218–220
acquisition cost 491–492
activation functions
about 283, 370
output layer 289–290
target layer 311–315
Add value 351
adjusted frequencies 521
adjusted probabilities, expected profits using 275
AIC (Akaike Information Criterion) 406–407
Append node 53–56, 137
Arc Tanget function 284, 286
Architecture property
about 362
MLP setting 290
Neural Network node 323, 324, 326, 336, 341, 346, 347
NRBFUN network 347
Regression node 460
architectures
alternative built-in 330–354
of neural networks 362
user-specified 351–354
Assessment Measure property 200, 213, 218–219, 224, 458–460, 469–473
attrition, predicting 454–464
auto insurance industry, predicting risk in 4–5
AutoNeural node 354–355, 360–362, 363
Average method ...
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