EuclideanLatentfactorsLinearcombinationsDistanceInitializationVariable-factorrelationshipsRotation AgeROCCurveCovarianceMatrixOvergeneralizationWeightadaptationSameevaluationmetricUsageDataCrossModelcomparisonMapLoglossScreeplotNeighborhoodfunctionSphericalLoadings BootstrapsamplingValidationsetBoostingIdentifiersErrorDistortclustersCompetitivelearningTargetingPoorlyLocationMeta-ModelMAEFirstPrincipalComponentTwo-DimensionalUncorrelatedCentroidstabilizeBaggingStrategyDevelopmentStackingVarianceExplainedFactorstructureWithinclustervariabilityTopologySharedvarianceproportionCorrelatedVotingensembleRandomForestEuclideanLatentfactorsLinearcombinationsDistanceInitializationVariable-factorrelationshipsRotationAgeROCCurveCovarianceMatrixOvergeneralizationWeightadaptationSameevaluationmetricUsageDataCrossModelcomparisonMapLoglossScreeplotNeighborhoodfunctionSphericalLoadingsBootstrapsamplingValidationsetBoostingIdentifiersErrorDistortclustersCompetitivelearningTargetingPoorlyLocationMeta-ModelMAEFirstPrincipalComponentTwo-DimensionalUncorrelatedCentroidstabilizeBaggingStrategyDevelopmentStackingVarianceExplainedFactorstructureWithinclustervariabilityTopologySharedvarianceproportionCorrelatedVotingensembleRandomForest

BAN 5743 Lab 13 - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. 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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  1. Euclidean
  2. Latent factors
  3. Linear combinations
  4. Distance
  5. Initialization
  6. Variable-factor relationships
  7. Rotation
  8. Age
  9. ROC Curve
  10. Covariance Matrix
  11. Overgeneralization
  12. Weight adaptation
  13. Same evaluation metric
  14. Usage Data
  15. Cross Model comparison
  16. Map
  17. Log loss
  18. Scree plot
  19. Neighborhood function
  20. Spherical
  21. Loadings
  22. Bootstrap sampling
  23. Validation set
  24. Boosting
  25. Identifiers
  26. Error
  27. Distort clusters
  28. Competitive learning
  29. Targeting
  30. Poorly
  31. Location
  32. Meta-Model
  33. MAE
  34. First Principal Component
  35. Two-Dimensional
  36. Uncorrelated
  37. Centroid stabilize
  38. Bagging
  39. Strategy Development
  40. Stacking
  41. Variance Explained
  42. Factor structure
  43. Within cluster variability
  44. Topology
  45. Shared variance proportion
  46. Correlated
  47. Voting ensemble
  48. Random Forest