RsquaredmetriclinearregressionmodelsupervisedlearningclusteringdoubledescentreinforcementlearningtrainerrortesterrorGauss-MarkovtheoremconfidenceintervalstestdatatraindatablackboxPythonunsupervisedlearninglearningalgorithmOccam'srazoroverfittingresidualsunderfittingfeaturesclassificationbias-variancetradeofflabelsRsquaredmetriclinearregressionmodelsupervisedlearningclusteringdoubledescentreinforcementlearningtrainerrortesterrorGauss-MarkovtheoremconfidenceintervalstestdatatraindatablackboxPythonunsupervisedlearninglearningalgorithmOccam'srazoroverfittingresidualsunderfittingfeaturesclassificationbias-variancetradeofflabels

Machine Learning - 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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O
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N
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B
4
B
5
I
6
I
7
N
8
I
9
G
10
O
11
N
12
G
13
B
14
B
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O
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G
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I
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I
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G
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O
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G
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N
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O
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B
  1. O-R squared metric
  2. N-linear regression model
  3. B-supervised learning
  4. B-clustering
  5. I-double descent
  6. I-reinforcement learning
  7. N-train error
  8. I-test error
  9. G-Gauss-Markov theorem
  10. O-confidence intervals
  11. N-test data
  12. G-train data
  13. B-blackbox
  14. B-Python
  15. O-unsupervised learning
  16. G-learning algorithm
  17. I-Occam's razor
  18. I-overfitting
  19. G-residuals
  20. O-underfitting
  21. G-features
  22. N-classification
  23. O-bias-variance tradeoff
  24. B-labels