MLFI

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Across
  1. 4. measuring of suitability of alternative independent variables
  2. 6. Useful in comparing regression models capability to predict
  3. 7. In this case the training data does not include any desired output
  4. 9. A method that use the inbuilt structures in the data for a better organization of the data
  5. 12. fitting one example to a known class
  6. 15. Selecting right model
  7. 17. Computing linear correlation after ranking the variable values
  8. 18. Transforms all the values of any attribute to zero mean and standard deviation one
  9. 19. measures the uncertainty associated with a probability distribution
  10. 20. this problem can be solved by using constraints on model parameters
Down
  1. 1. the developed model is such that the user can only test the model but cannot know how it is working
  2. 2. learns through the induction process
  3. 3. Normally used any time you use a common noun
  4. 5. the process in which the subnodes of a decision node are removed
  5. 8. Correcting/removing inconsistencies, inaccuracy, irregularities etc in the data
  6. 9. Using many models to generate the estimate of the required variable
  7. 10. used to control the learning process
  8. 11. Proving requires conducting experiments
  9. 13. error related to misestimating the mean
  10. 14. the process that is used to classify nodes into two or more sub-nodes
  11. 16. A method that has no assumptions regarding the structures or spatial distribution