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0.4<\/div>\n"},{"correct":true,"tipsAndFeedback":{"chosenFeedback":"

The optimal cut-off point exists where the values of accuracy, sensitivity, and specificity are fairly decent and almost equal. At the cut-off of 0.5, the metric values are 0.74, 0.73, and 0.74 respectively. This is the optimal value of threshold that you can have.<\/div>\n","tip":"","notChosenFeedback":""},"text":"

0.5<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"

0.6<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"

0.7<\/div>\n"}],"overallFeedback":[{"from":0,"to":100}],"behaviour":{"enableRetry":true,"enableSolutionsButton":true,"enableCheckButton":true,"type":"auto","singlePoint":false,"randomAnswers":true,"showSolutionsRequiresInput":true,"confirmCheckDialog":false,"confirmRetryDialog":false,"autoCheck":false,"passPercentage":100,"showScorePoints":true},"UI":{"checkAnswerButton":"Check","showSolutionButton":"Show solution","tryAgainButton":"Retry","tipsLabel":"Show tip","scoreBarLabel":"You got :num out of :total points","tipAvailable":"Tip available","feedbackAvailable":"Feedback available","readFeedback":"Read feedback","wrongAnswer":"Wrong answer","correctAnswer":"Correct answer","shouldCheck":"Should have been checked","shouldNotCheck":"Should not have been checked","noInput":"Please answer before viewing the solution","a11yCheck":"Check the answers. The responses will be marked as correct, incorrect, or unanswered.","a11yShowSolution":"Show the solution. The task will be marked with its correct solution.","a11yRetry":"Retry the task. Reset all responses and start the task over again."},"confirmCheck":{"header":"Finish ?","body":"Are you sure you wish to finish ?","cancelLabel":"Cancel","confirmLabel":"Finish"},"confirmRetry":{"header":"Retry ?","body":"Are you sure you wish to retry ?","cancelLabel":"Cancel","confirmLabel":"Confirm"},"question":"

Based on the table above, what will the approximate value of the optimal cut-off be?<\/p>\n"}

Threshold	Probability	Accuracy	Sensitivity	Specificity
0.0	0.0	0.21	1.00	0.00
0.1	0.1	0.39	0.96	0.22
0.2	0.2	0.56	0.88	0.49
0.3	0.3	0.59	0.81	0.53
0.4	0.4	0.62	0.78	0.63
0.5	0.5	0.74	0.73	0.74
0.6	0.6	0.81	0.64	0.79
0.7	0.7	0.78	0.42	0.83
0.8	0.8	0.63	0.21	0.92
0.9	0.9	0.56	0.03	0.98

Suppose you created a dataframe to find out the optimal cut-off point for a model you built. The dataframe looks like the following:

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