INDEX 519
predicting performance, 146–149.See also
evaluation
predicting probabilities, 157–161
PredictionAppender, 431
prediction nodes, 329
predictive accuracy in Weka, 420
PredictiveApriori, 420
Preprocesspanel, 372, 380
prepruning, 34, 192
presbyopia, 13
preventive maintenance of electromechanical
devices, 25–26
principal components, 307–308
PrincipalComponents, 423
principal components analysis, 306–309
principle of multiple explanations, 183
prior knowledge, 349–351
prior probability, 90
PRISM, 110–111, 112, 213
Prism, 409
privacy, 357–358
probabilistic EM procedure, 265–266
probability-based clustering, 262–265
probability cost function, 175
probability density function, 93
programming.SeeWeka workbench
programming by demonstration, 360
promotional offers, 27
proportional k-interval discretization, 298
propositional calculus, 73, 82
propositional rules, 69
pruning
classification rules, 203, 205
decision tree, 192–193, 312
massive datasets, 348
model tree, 245–246
noisy exemplars, 236–237
overfitting-avoidance bias, 34
reduced-error, 203
pruning set, 202
pseudocode
basic rule learner, 111
model tree, 247–250
1R, 85
punctuation conventions, 310Q
quadratic loss function, 158–159, 161
quadratic optimization, 217
Quinlan, J. Ross, 29, 105, 198R
R. R. Donnelly, 28
RacedIncrementalLogitBoost, 416
race search, 295
RaceSearch, 424
radial basis function (RBF) kernel, 219, 234
radial basis function (RBF) network, 234
RandomCommittee, 415
RandomForest, 407
random forest metalearner in Weka, 416
randomization, 320–321
Randomize, 400
RandomProjection, 400
random projections, 309
RandomSearch, 424
RandomTree, 407
Ranker, 424–425
RankSearch, 424
ratio quantities, 51
RBF (Radial Basis Function) kernel, 219, 234
RBF (Radial Basis Function) network, 234
RBFNetwork, 410
real-life applications.Seefielded applications
real-life datasets, 10
real-world implementations.See
implementation—real-world schemes
recall, 171
recall-precision curves, 171–172
Rectangle, 389
rectangular generalizations, 80
recurrent neural networks, 233
recursion, 48
recursive feature elimination, 291, 341
reduced-error pruning, 194, 203
redundant exemplars, 236
regression, 17, 76
RegressionByDiscretization, 418
regression equation, 17
regression tree, 76, 77, 243
reinforcement learning, 38P088407-INDEX.qxd 4/30/05 11:25 AM Page 519