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