CertIIMKAIML

5. Selecting right model
6. learns through the induction process
10. error related to misestimating the mean
11. the developed model is such that the user can only test the model but cannot know how it is working
12. the process that is used to classify nodes into two or more sub-nodes
13. this problem can be solved by using constraints on model parameters
14. A method that use the inbuilt structures in the data for a better organization of the data

1. Transforms all the values of any attribute to zero mean and standard deviation one
2. In this case the training data does not include any desired output
3. Using many models to generate the estimate of the required categories Normally used any time you use a common noun
4. fitting one example to a known class
7. Computing linear correlation after ranking the variable values
8. used to control the learning process
9. Correcting/removing inconsistencies, inaccuracy, irregularities etc in the data