Questions

STATS 101/108 Chapter 1 quiz

Multiple fill-in-the-blank

A model was developed to classify whether or not tweets were written by a Twitter bot. The results from using the classification model on 24 tweets are shown below in the confusion matrix. Use the confusion matrix to answer the following questions. Give your answers as percentages rounded to one decimal place e.g. 23.1% or 42.0%. The accuracy of the classification model (PCC) was [Fill in the blank], %. [Fill in the blank], % of the tweets were predicted to be written by a bot. Of the tweets that were actually written by a bot, [Fill in the blank], % were correctly predicted to be written by bot. Of the tweets that were actually written by a bot, [Fill in the blank], % were incorrectly predicted to not be written by bot.

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Step-by-Step Analysis

First, I will restate the given data from the confusion matrix to ensure we’re working with the correct numbers. The matrix shows: - Actual Twitter bot: predicted as bot = 7, predicted as not bot = 3, total = 10 - Actual Not Twitter bot: predicted as bot = 2, predicted as not bot = 12, total = 14 - Totals by predictions: predicted bot = 9, predicted not bot = 15, overall total = 24 Now, I’ll examine each fill-in-the-bl......Login to view full explanation

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