COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Bias through selection and omission
|
|
|
Bias through placement
|
|
|
Bias through source control
|
|
|
Bias through crowd counts
|
Detailed explanation-1: -Interviewer bias is where the expectations or opinions of the interviewer interferes with the judgement of the interviewee. This can either affect the outcome positively or negatively and that these preconceptions can both consciously and unconsciously influence judgement.
Detailed explanation-2: -Selection bias can occur when investigators use improper procedures for selecting a sample population, but it can also occur as a result of factors that influence continued participation of subjects in a study.
Detailed explanation-3: -Control Selection Bias In a case-control study selection bias occurs when subjects for the “control” group are not truly representative of the population that produced the cases.
Detailed explanation-4: -Selection bias is a kind of error that occurs when the researcher decides who is going to be studied. It is usually associated with research where the selection of participants isn’t random (i.e. with observational studies such as cohort, case-control and cross-sectional studies).