In order to speed up the delivery of hockey sticks, your data science team developed a machine learning model to predict whether any particular order will result in a leftie or righty hockey stick order. The model has a True Positive Rate of 0.8 and a False Positive Rate of 0.1. A client goes to your website, and the model predicts this client will order a left handed stick. What are the posterior Odds of an order being for a left handed stick?

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You are the Product Manager for an internet-based sporting equipment company working. In the Hockey department, historically, 65% of hockey players order "leftie" or left-handed sticks from the site.

In order to speed up the delivery of hockey sticks, your data science team
developed a machine learning model to predict whether any particular
order will result in a leftie or righty hockey stick order. The model has a True
Positive Rate of 0.8 and a False Positive Rate of 0.1. A client goes to your
website, and the model predicts this client will order a left handed stick.
What are the posterior Odds of an order being for a left handed stick?
O 16:1
O 104:7
O 26:5
O None of the above
Transcribed Image Text:In order to speed up the delivery of hockey sticks, your data science team developed a machine learning model to predict whether any particular order will result in a leftie or righty hockey stick order. The model has a True Positive Rate of 0.8 and a False Positive Rate of 0.1. A client goes to your website, and the model predicts this client will order a left handed stick. What are the posterior Odds of an order being for a left handed stick? O 16:1 O 104:7 O 26:5 O None of the above
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