CertAIML 2022

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Across
  1. 4. error related to misestimating the mean
  2. 7. this problem can be solved by using constraints on model parameters
  3. 8. In this case the training data does not include any desired output
  4. 10. used to control the learning process
  5. 12. Correcting/removing inconsistencies, inaccuracy, irregularities etc in the data
  6. 14. Computing linear correlation after ranking the variable values
Down
  1. 1. fitting one example to a known class
  2. 2. learns through the induction process
  3. 3. Selecting right model
  4. 5. Using many models to generate the estimate of the required categories Normally used any time you use a common noun
  5. 6. Transforms all the values of any attribute to zero mean and standard deviation one
  6. 9. the process that is used to classify nodes into two or more sub-nodes
  7. 11. A method that use the inbuilt structures in the data for a better organization of the data
  8. 13. the developed model is such that the user can only test the model but cannot know how it is working