D) combine
combine and merge are synonyms of each other.
hope this helps x
Answer:
Theoretically Yes
Explanation:
The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training dataset. However, you should definitely never expect such thing In any real-life problem because the data is noisy, for a bazilion of reasons, so no model is guaranteed to perform perfectly.
Answer:
The correct answer is A.
Explanation:
B is true if the two nodes are descending from the same parent node, they are called sibling nodes.
C is true, the nodes which do not have any nodes branching from them are called leaf nodes and mark the end of that specific branch.
D is true, a node tree is defined as nonlinear set of nodes growing downwards which are linked together.
The false option is A, a node in a node tree does not have to contain at least two links, it can be a leaf node.
I hope this answer helps.
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