A bio-scientist is working on the analysis of the cancer cells. To identify whether the cell is cancerous or not, there has been hundreds of tests are done with small variations to say yes to the…

The correct answer is C. Naive Bayes. In this problem you have been given high-dimensional independent variables like yes, no: 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 Naive Bayes Logistic…

Machine Learning Algorithms

Question

A bio-scientist is working on the analysis of the cancer cells. To identify whether the cell is cancerous or not, there has been hundreds of tests are done with small variations to say yes to the problem. Given the test result for a sample of healthy and cancerous cells, which of the following technique you will use to determine whether a cell is healthy?

Options

ALinear regression
BCollaborative filtering
CNaive Bayes
DIdentification Test

How the community answered

(31 responses)

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

Explanation

In this problem you have been given high-dimensional independent variables like yes, no: 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 Naive Bayes Logistic regression Random decision forests

Topics

#Naive Bayes#classification#binary classification#supervised learning

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