FactorstructureTargetingTwo-DimensionalFirstPrincipalComponentSharedvarianceproportionTopologyMAEBoostingSameevaluationmetricScreeplotLoglossOvergeneralizationBaggingInitializationMeta-ModelUsageDataRandomForestEuclidean AgeVariable-factorrelationshipsCovarianceMatrixRotationErrorMapLinearcombinationsStrategyDevelopment BootstrapsamplingCentroidstabilizeValidationsetVotingensembleUncorrelatedWithinclustervariabilityPoorlyStackingCompetitivelearningLoadingsCrossModelcomparisonROCCurveVarianceExplainedIdentifiersDistortclustersCorrelatedLatentfactorsSphericalNeighborhoodfunctionWeightadaptationLocationDistanceFactorstructureTargetingTwo-DimensionalFirstPrincipalComponentSharedvarianceproportionTopologyMAEBoostingSameevaluationmetricScreeplotLoglossOvergeneralizationBaggingInitializationMeta-ModelUsageDataRandomForestEuclideanAgeVariable-factorrelationshipsCovarianceMatrixRotationErrorMapLinearcombinationsStrategyDevelopmentBootstrapsamplingCentroidstabilizeValidationsetVotingensembleUncorrelatedWithinclustervariabilityPoorlyStackingCompetitivelearningLoadingsCrossModelcomparisonROCCurveVarianceExplainedIdentifiersDistortclustersCorrelatedLatentfactorsSphericalNeighborhoodfunctionWeightadaptationLocationDistance

BAN 5743 Lab 13 - 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.


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F
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S
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S
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P
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F
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P
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E
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P
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P
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P
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S
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E
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K
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E
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S
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E
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K
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S
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F
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P
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F
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F
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S
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P
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S
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E
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K
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P
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E
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P
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K
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K
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E
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S
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P
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P
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P
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P
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S
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K
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F
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S
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S
48
S
  1. F-Factor structure
  2. S-Targeting
  3. S-Two-Dimensional
  4. P-First Principal Component
  5. F-Shared variance proportion
  6. S-Topology
  7. P-MAE
  8. E-Boosting
  9. P-Same evaluation metric
  10. P-Scree plot
  11. P-Log loss
  12. S-Overgeneralization
  13. E-Bagging
  14. K-Initialization
  15. E-Meta-Model
  16. S-Usage Data
  17. E-Random Forest
  18. K-Euclidean
  19. S-Age
  20. F-Variable-factor relationships
  21. P-Covariance Matrix
  22. F-Rotation
  23. F-Error
  24. S-Map
  25. P-Linear combinations
  26. S-Strategy Development
  27. E-Bootstrap sampling
  28. K-Centroid stabilize
  29. P-Validation set
  30. E-Voting ensemble
  31. P-Uncorrelated
  32. K-Within cluster variability
  33. K-Poorly
  34. E-Stacking
  35. S-Competitive learning
  36. P-Loadings
  37. P-Cross Model comparison
  38. P-ROC Curve
  39. P-Variance Explained
  40. S-Identifiers
  41. K-Distort clusters
  42. F-Correlated
  43. F-Latent factors
  44. K-Spherical
  45. S-Neighborhood function
  46. S-Weight adaptation
  47. S-Location
  48. S-Distance