{"media":{"type":{"params":{"contentName":"Image"},"library":"H5P.Image 1.1","subContentId":"6647d318-70b6-4f0c-8170-0a5bc867536f","metadata":{"contentType":"Image","license":"U","title":"Untitled Image"}},"disableImageZooming":false},"answers":[{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"

33%<\/div>\n"},{"correct":true,"tipsAndFeedback":{"chosenFeedback":"There is a measure known as F1-score <\/strong>which essentially combines both precision and recall. It is the basically the harmonic mean of precision and recall and its formula is given by:\n\nF = 2 \u00d7 (precision \u00d7 recall) \/ (precision + recall)\n\nThe F1-score is useful when you want to look at the performance of precision and recall together.\n\nFrom the confusion matrix given,\n\nTP = 150\n\nFP = 100\n\nFN = 50\n\nHence, you get -\n\nPrecision=150 \/ (100+150) = 0.6\n\nRecall=150 \/ (150+50) = 0.75\n\nSo, the F1-score becomes - \n\nF = 2 \u00d7 (0.6\u00d70.75) \/ (0.6+0.75) \u2248 66.67% \u2248 67%\n","tip":"","notChosenFeedback":""},"text":"
67%<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"
37%<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"
75%<\/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":"
.<\/p>\n"}

Actual/Predicted	Not Churn	Churn
Not Churn	400	100
Churn	50	150

Calculate the F1-score for the model below:

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