Machine Learning with Python for Everyone

Index

Symbols

+1 trick, 38, 43–45, 336, 521

1-NN model, 145, 154–156

for the circle problem, 464

3-NN model, 66, 193

3D datasets, 460–461

80–20 rule, 83

Σ, in math, 30

A

accuracy, 15, 27, 163

calculating, 62

fundamental limits of, 163

accuracy_score, 62

AdaBoost, 400, 405

AdaBoostClassifier, 400, 403–406

additive model, 318

aggregation, 390

algorithms

analysis of, 72

genetic, 101

less important than data, 15

amoeba (StackExchange user), 465

analytic learning, 18

Anderson, Edgar, 56

ANOVAs test, 463

area under the curve (AUC), 177–178, 182–193, 202

arguments, of a function, 362

arithmetic mean, 170, see also average

array (NumPy), 276, 494

assessment, 113–115

assumptions, 55, 270, 282, 286–287, 439

attributes, 4–5

average

computing from confusion ...