11. The correlation coefficient for two real-valued attributes is 0.85. What does this value tell you?
12. The leaf nodes of a model tree are
13. The multiple coefficient of determination is computed by
14. The process of forming general concept definitions from examples of concepts to be learned.
15. The standard error is defined as the square root of this computation.
16. This clustering algorithm initially assumes that each data instance represents a single cluster.
17. This clustering algorithm merges and splits nodes to help modify nonoptimal partitions.
18. This supervised learning technique can process both numeric and categorical input attributes.
19. This technique associates a conditional probability value with each data instance.
20. This unsupervised clustering algorithm terminates when mean values computed for the current iteration of the algorithm are identical to the computed mean values for the previous iteration.
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