A classification model was developed to predict if a photo of the Tokyo Tower was taken in the day or in the night, based on the mean of the grayscale values. A visual representation of results from testing this model on 25 photos with the tag 'Tokyo Tower' is shown below. Each of the photos were sourced from the website Unsplash and were labelled as actually being taken in the day or the night. day night 87 7 18 40 80 120 160 mean_grayscale classification incorrect Use the plot above to complete the blanks in the statements below. Be careful to not type any blank spaces, to type the names of the variables and/or levels exactly as they are given in the visualisation or instruction, and to give any percentages rounded to one decimal place (e.g. 25.5% or 32.0%). The decision rule shown above (which may not be a good/sensible one) can be described as: If mean_grayscale is less than 80 " classify the photo as night else classify the photo as day The PCC for the classification model is 80.0 % The baseline model for this data would be to always classify the photo as night and the baseline model would have a PCC of 72.0 %
A classification model was developed to predict if a photo of the Tokyo Tower was taken in the day or in the night, based on the mean of the grayscale values. A visual representation of results from testing this model on 25 photos with the tag 'Tokyo Tower' is shown below. Each of the photos were sourced from the website Unsplash and were labelled as actually being taken in the day or the night. day night 87 7 18 40 80 120 160 mean_grayscale classification incorrect Use the plot above to complete the blanks in the statements below. Be careful to not type any blank spaces, to type the names of the variables and/or levels exactly as they are given in the visualisation or instruction, and to give any percentages rounded to one decimal place (e.g. 25.5% or 32.0%). The decision rule shown above (which may not be a good/sensible one) can be described as: If mean_grayscale is less than 80 " classify the photo as night else classify the photo as day The PCC for the classification model is 80.0 % The baseline model for this data would be to always classify the photo as night and the baseline model would have a PCC of 72.0 %
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
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Any correct answers and tell me why and how?
Transcribed Image Text:A classification model was developed to predict if a photo of the Tokyo Tower was
taken in the day or in the night, based on the mean of the grayscale values.
A visual representation of results from testing this model on 25 photos with the tag
'Tokyo Tower' is shown below. Each of the photos were sourced from the website
Unsplash and were labelled as actually being taken in the day or the night.
day
night
87
7
18
40
80
120
160
mean_grayscale
classification
incorrect
Use the plot above to complete the blanks in the statements below. Be careful to
not type any blank spaces, to type the names of the variables and/or levels
exactly as they are given in the visualisation or instruction, and to give any
percentages rounded to one decimal place (e.g. 25.5% or 32.0%).
The decision rule shown above (which may not be a good/sensible one) can be
described as:
If mean_grayscale is less than 80
"
classify the photo as
night
else classify the photo as
day
The PCC for the classification model is 80.0
%
The baseline model for this data would be to always classify the photo as
night
and the baseline model would have a PCC of 72.0
%
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