Question

Which is not mining technique Support vector machines Bayesian classification
Object ranking Rule based classifier

Answer 1

Answer:

Which is not mining technique Support vector machines Bayesian classification Object ranking Rule based classifier

Answer 2

The Bayes rule is the ideal arrangement rule in the event that the hidden dispersion of the information is known.

Explanation:

The Bayes rule is the ideal arrangement rule in the event that the hidden dispersion of the information is known. By and by we don't have the foggiest idea about the hidden dispersion, and need to "learn" characterization rules from the information. One method for determining grouping rules by and by is to execute the Bayes rule around by assessing a proper arrangement work. Conventional factual strategies utilize assessed log chances proportion as the arrangement work. Support vector machines (SVMs) are one sort of huge room for error classifier, and the connection among SVMs and the Bayes rule was not satisfactory. In this paper, it is shown that the asymptotic objective of SVMs are some intriguing arrangement works that are straightforwardly connected with the Bayes rule. The pace of union of the arrangements of SVMs to their relating objective capacities is unequivocally settled on account of SVMs with quadratic or higher request misfortune capacities and spline portions. Reenactments are given to delineate the connection among SVMs and the Bayes rule in different cases. This comprehends the achievement of SVMs in numerous characterization studies, and makes it simpler to analyze SVMs and conventional factual strategies.