The goal of the project is to find as many of the valuable images of galaxy collisions as possible while minimising the time invested in classification by the experts — they really don’t want to go through all of the “test negative” images to find a significant number of missed collisions. In order to better understand the capabilities of several citizen scientists for future projects, an expert classified all of the images in the library. From this information, the sensitivity and specificity of citizen scientists Beta, Gamma, and Delta in identifying images of galaxy collisions are shown in the table. Who do you think has the best performance given the goals of the project? Justify your answer.

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The goal of the project is to find as many of the valuable images of galaxy collisions as possible while minimising the time invested in classification by the experts — they really don’t want to go through all of the “test negative” images to find a significant number of missed collisions. In order to better understand the capabilities of several citizen scientists for future projects, an expert classified all of the images in the library. From this information, the sensitivity and specificity of citizen scientists Beta, Gamma, and Delta in identifying images of galaxy collisions are shown in the table. Who do you think has the best performance given the goals of the project? Justify your answer.

 
Beta
Gamma
Delta
Sensitivity Specificity
92.1%
99.3%
100%
85.4%
67%
99.9%
Transcribed Image Text:Beta Gamma Delta Sensitivity Specificity 92.1% 99.3% 100% 85.4% 67% 99.9%
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