A logistic regression model X is used to predict which patients are likely to have a...

  

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A logistic regression model X is used to predict which patients are likely to have a certain disorder. Class 0 and class 1 are patients with and without the disorder, respectively. The prediction result of the model X is described in the following confusion matrix. Two data scientists plan to publish this confusion matrix since the accuracy of this model X is very good. Shortly before you left an elevator, you overheard their plan. Before the elevator was closed, do you have any suggestion to them? Please describe your suggestion in three sentences. Anything beyond three sentences cannot be heard by the two healthcare analysts, and hence, will **NOT** be graded. prediction What is the precision, recall, and F-score of the class-0 A logistic regression model X is used to predict which patients are likely to have a certain disorder. Class 0 and class 1 are patients with and without the disorder, respectively. The prediction result of the model X is described in the following confusion matrix. Two data scientists plan to publish this confusion matrix since the accuracy of this model X is very good. Shortly before you left an elevator, you overheard their plan. Before the elevator was closed, do you have any suggestion to them? Please describe your suggestion in three sentences. Anything beyond three sentences cannot be heard by the two healthcare analysts, and hence, will **NOT** be graded. prediction What is the precision, recall, and F-score of the class-0

Answer rating: 100% (QA)

I would suggest to the data scientists that in addition ... View the full answer