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How is performance measured at MBB?
Additional Posts in Ml and DL questions
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Cubic k-NN: A nearest neighbor classifier that uses the cubic distance metric. The cubic distance between two n-dimensional vectors u and v is defined as: ∑ i = 1 n | u i − v i | 3
Whereas,
Cubic SVM:
The SVM technique of classification is useful when a dilemma of low memory space is faced. SVM finds a hyperplane in multidimensional space which divides the classes into best possible way. Here cubic SVM type classifier is employed where the kernel function of the classifier is cubic given as
x(xi,xj) = (xiT xj)3
This what I got from search, Good to understand these things.