In a tree classification task, the set X associated with node t, contains N, = 14 vectors. Four of these belong to class w1, two to class @2, and eight to class @, in a three-class classification task. The node splitting results into two new subsets Xry, with three vectors from 1., and two from @, and XN with one vectors from @1, none from w2, and eight from wz. Compute the decrease in node impurity after splitting.

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In a tree classification task, the set X associated with node t, contains N, = 14
vectors. Four of these belong to class w, two to class w2, and eight to class @3, in a
three-class classification task. The node splitting results into two new subsets Xry,
with three vectors from @, and two from @2, and XIN with one vectors from @1, none
from w2 and eight from w3. Compute the decrease in node impurity after splitting.
%3D
Transcribed Image Text:In a tree classification task, the set X associated with node t, contains N, = 14 vectors. Four of these belong to class w, two to class w2, and eight to class @3, in a three-class classification task. The node splitting results into two new subsets Xry, with three vectors from @, and two from @2, and XIN with one vectors from @1, none from w2 and eight from w3. Compute the decrease in node impurity after splitting. %3D
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