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Index

Index

Note: Page numbers followed by “f” indicates a figure, “t” indicates a table, and “b” indicates entry is inside boxed text.

0 − 1 loss function, 160
0.632 bootstrap, 155
1R (1-rule), 86–90
discretization, 315
example use, 87t
learning procedure, 89–90
missing values and numeric data, 87–89
overfitting for, 88
pseudocode, 86f
11-point average recall, 175

A

accuracy, of association rules, 72, 73, 116
minimum, 72, 119, 122–123
accuracy, of classification rules, 110, 205
activation function, 241–242
acuity parameter, 281
AD trees. See all-dimensions trees
AdaBoost, 358–361
AdaBoostM1 algorithm, 358–359, 475t, 476–477
Add filter, 433t–435t, 436
AddClassification filter, 444t, 445
AddCluster filter, 433t–435t, 436–437

  

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