MLFI

123456789101112131415161718192021
Across
  1. 4. A method that has no assumptions regarding the structures or spatial distribution
  2. 5. Correcting/removing inconsistencies, inaccuracy, irregularities etc in the data
  3. 7. the process that is used to classify nodes into two or more sub-nodes
  4. 8. the developed model is such that the user can only test the model but cannot know how it is working
  5. 9. used to control the learning process
  6. 13. Useful in comparing regression models capability to predict
  7. 14. Computing linear correlation after ranking the variable values
  8. 16. this problem can be solved by using constraints on model parameters
  9. 18. Proving requires conducting experiments
  10. 19. learns through the induction process
  11. 21. Using many models to generate the estimate of the required variable
Down
  1. 1. In this case the training data does not include any desired output
  2. 2. Normally used any time you use a common noun
  3. 3. Selecting right model
  4. 6. Transforms all the values of any attribute to zero mean and standard deviation one
  5. 10. measuring of suitability of alternative independent variables
  6. 11. measures the uncertainty associated with a probability distribution
  7. 12. the process in which the subnodes of a decision node are removed
  8. 15. A method that use the inbuilt structures in the data for a better organization of the data
  9. 17. fitting one example to a known class
  10. 20. error related to misestimating the mean