Considering the log loss equation. Explain how the logloss is used in logistic regression error function. Show the values when y and y' are 0 or 1 and what they mean in English and what equation say about it. AUC-ROC for two models 10 0.8 - 0.6 0.4 0.2 Logistic regression, auc - 0.858 SvC, auc = 0.97 0.0 00 0.2 06 False Positive Rate 0.8 0.4 10 True Positive Rate

MATLAB: An Introduction with Applications
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Considering the log loss equation. Explain
how the logloss is used in logistic
regression error function. Show the values
when y and y' are 0 or 1 and what they
mean in English and what equation say
about it.
AUC-ROC for two models
10
0.8-
0.4
0.2
Logistic regression, auc = 0.858
SvC, auc = 0.97
0.0
0.0
0.2
0.4
0.6
0.8
10
False Positive Rate
True Positive Rate
Transcribed Image Text:Considering the log loss equation. Explain how the logloss is used in logistic regression error function. Show the values when y and y' are 0 or 1 and what they mean in English and what equation say about it. AUC-ROC for two models 10 0.8- 0.4 0.2 Logistic regression, auc = 0.858 SvC, auc = 0.97 0.0 0.0 0.2 0.4 0.6 0.8 10 False Positive Rate True Positive Rate
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