Index
A
accuracy criterion 193–194
acquisition cost 417–418
activation functions
about 243, 322
output layer 247
target layer 270–272
Add value 306
adjusted frequencies 441
adjusted probabilities, expected profits using 236
AIC (Akaike Information Criterion) 350–352
Append node 48–50, 116
Arc Tanget function 243–244
Architecture property
about 316
MLP setting 247
Neural Network node 281, 283, 284, 293, 295–297, 298–300, 305
NRBFUN network 303–304
Regression node 389
architectures
alternative built-in 286–307
of neural networks 316
user-specified 305–307
Assessment Measure property 174, 187, 193, 198, 387–389, 396–399
attrition, predicting 384–392
auto insurance industry, predicting risk in 3–4
AutoNeural node 307–309, 314–315, 316
Average method ...
Get Predictive Modeling with SAS Enterprise Miner, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
