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