Suppose you have been given a relatively high-dimension set of independent variables and you are asked to come up with a model that predicts one of Two possible outcomes like "YES" or "NO", then…

The correct answer is E. All of the above. In this problem you have been given high-dimensional independent variables like yeS; nO; no English words , test results etc. and you have to predict either valid or not valid (One of two). So all of the below technique can be applied to this problem. - Support vector machines…

Algorithm Selection and Application

Question

Suppose you have been given a relatively high-dimension set of independent variables and you are asked to come up with a model that predicts one of Two possible outcomes like "YES" or "NO", then which of the following technique best fit.

Options

ASupport vector machines
BNaive Bayes
CLogistic regression
DRandom decision forests
EAll of the above

How the community answered

(31 responses)

A
3% (1)
B
13% (4)
D
6% (2)
E
77% (24)

Explanation

In this problem you have been given high-dimensional independent variables like yeS; nO; no English words , test results etc. and you have to predict either valid or not valid (One of two). So all of the below technique can be applied to this problem. - Support vector machines - Logistic regression - Random decision forests

Topics

#classification#SVM#high-dimensional data#algorithm selection

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