ROCCurveWeightadaptationUncorrelatedDistanceCentroidsStabilizeDistortsclustersBoostingLoadingsMeanAbsoluteErrorSphericalTwo-dimensionalUsageDataLatentFactorsTopologyValidationsetVariable-factorrelationshipsSharedvarianceproportionStrategyDevelopmentBootstrapSamplingVotingEnsembleLinearCombinationsWithin-clustervariabilityFirstprincipalcomponentMAPVarianceExplainedEuclidianRotationBaggingScreePlotLocationAgeFactorStructureOver-generalizationInitializationLoglossErrorRandomForestCross-modelcomparisonCompetitivelearningSameevaluationmetricCovarianceMatrixMeta-modelTargetingNeighborhoodfunctionIdentifiersStackingF1ScorePoorlyROCCurveWeightadaptationUncorrelatedDistanceCentroidsStabilizeDistortsclustersBoostingLoadingsMeanAbsoluteErrorSphericalTwo-dimensionalUsageDataLatentFactorsTopologyValidationsetVariable-factorrelationshipsSharedvarianceproportionStrategyDevelopmentBootstrapSamplingVotingEnsembleLinearCombinationsWithin-clustervariabilityFirstprincipalcomponentMAPVarianceExplainedEuclidianRotationBaggingScreePlotLocationAgeFactorStructureOver-generalizationInitializationLoglossErrorRandomForestCross-modelcomparisonCompetitivelearningSameevaluationmetricCovarianceMatrixMeta-modelTargetingNeighborhoodfunctionIdentifiersStackingF1ScorePoorly

Predictive Analytics Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


1
M
2
S
3
P
4
S
5
k
6
k
7
E
8
P
9
M
10
k
11
S
12
S
13
F
14
S
15
M
16
F
17
F
18
S
19
E
20
E
21
P
22
k
23
P
24
S
25
P
26
k
27
F
28
E
29
P
30
S
31
S
32
F
33
S
34
k
35
M
36
F
37
E
38
M
39
S
40
M
41
P
42
E
43
S
44
S
45
S
46
E
47
M
48
k
  1. M-ROC Curve
  2. S-Weight adaptation
  3. P-Uncorrelated
  4. S-Distance
  5. k-Centroids Stabilize
  6. k-Distorts clusters
  7. E-Boosting
  8. P-Loadings
  9. M-Mean Absolute Error
  10. k-Spherical
  11. S-Two-dimensional
  12. S-Usage Data
  13. F-Latent Factors
  14. S-Topology
  15. M-Validation set
  16. F-Variable-factor relationships
  17. F-Shared variance proportion
  18. S-Strategy Development
  19. E-Bootstrap Sampling
  20. E-Voting Ensemble
  21. P-Linear Combinations
  22. k-Within-cluster variability
  23. P-First principal component
  24. S-MAP
  25. P-Variance Explained
  26. k-Euclidian
  27. F-Rotation
  28. E-Bagging
  29. P-Scree Plot
  30. S-Location
  31. S-Age
  32. F-Factor Structure
  33. S-Over-generalization
  34. k-Initialization
  35. M-Log loss
  36. F-Error
  37. E-Random Forest
  38. M-Cross-model comparison
  39. S-Competitive learning
  40. M-Same evaluation metric
  41. P-Covariance Matrix
  42. E-Meta-model
  43. S-Targeting
  44. S-Neighborhood function
  45. S-Identifiers
  46. E-Stacking
  47. M-F1 Score
  48. k-Poorly