The following data show a list of 30 observations and an estimated probability of Class 1 membership produced by the classification algorithn. a) Create confusion matrices for cutoff values of 0.75, 0.5, and 0.25. b) Find the the followings for each cutoff values: Class 1 error rate, Class 0 error rate, and overall error rate Sensitivity = ? Specificity = ? Precision = ? F1 Score = ? c) What do you observe? Explain. Actual Class Probability of Class 1 1 1 1 1 1 1 0 0.9 0 0.87 1 0.86 1 0.85 0 0.84 1 0.84 1 0.83 1 0.82 0 0.81 0 0.8 0 0.8 0 0.78 0 0.77 0 0.74 1 0.69 1 0.68 1 0.65 0 0.64 0 0.6 0 0.55 0 0.5 0 0.4 1 0.38 0 0.35 0 0.24 0 0.22 1 0.1

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The following data show a list of 30 observations and an estimated probability of Class 1 membership produced by the classification algorithn. a) Create confusion matrices for cutoff values of 0.75, 0.5, and 0.25. b) Find the the followings for each cutoff values: Class 1 error rate, Class 0 error rate, and overall error rate Sensitivity = ? Specificity = ? Precision = ? F1 Score = ? c) What do you observe? Explain.

Actual Class Probability of Class 1
1 1
1 1
1 1
0 0.9
0 0.87
1 0.86
1 0.85
0 0.84
1 0.84
1 0.83
1 0.82
0 0.81
0 0.8
0 0.8
0 0.78
0 0.77
0 0.74
1 0.69
1 0.68
1 0.65
0 0.64
0 0.6
0 0.55
0 0.5
0 0.4
1 0.38
0 0.35
0 0.24
0 0.22
1 0.1
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