What is meta-learning

Explain the term meta-learning. Describe in detail.




Meta-Learning is defined as the concept of joining the predictions formed from several models of data mining and analyzing those predictions in order to formulate a new and previously unknown prediction.

a) GUI

b) Pattern Evaluation

c) Database or Data warehouse server

d) DB DW

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