A model was developed to classify whether or not tweets were written by a Twitter bot. A visual representation of the results from using the model on 34 tweets is shown below.The colour of the bird indicates who actually wrote the tweet (e.g., a red bird means it was actually written by a Twitter bot) and the colour of the circle indicates who the model predicted the tweet was written by.Use the results to complete the confusion matrix.Predicted: Twitter botPredicted: Not Twitter botTotalActual: Twitter bot[Fill in the blank] [Fill in the blank] [Fill in the blank] Actual: Not Twitter bot[Fill in the blank] [Fill in the blank] [Fill in the blank] Total[Fill in the blank] [Fill in the blank] 34 Multiple fill-in-the-blank

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A model was developed to classify whether or not tweets were written by a Twitter bot. The results from using the classification model on 32 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 not actually written by a bot, [Fill in the blank] % were incorrectly predicted to be written by bot.Of the tweets that were actually written by a bot, [Fill in the blank] % were correctly predicted to be written by bot.

A model was developed to classify whether or not tweets were written by a Twitter bot. A visual representation of the results from using the model on 27 tweets is shown below.The colour of the bird indicates who actually wrote the tweet (e.g., a red bird means it was actually written by a Twitter bot) and the colour of the circle indicates who the model predicted the tweet was written by.Use the results to complete the confusion matrix.Predicted: Twitter botPredicted: Not Twitter botTotalActual: Twitter bot[Fill in the blank] [Fill in the blank] [Fill in the blank] Actual: Not Twitter bot[Fill in the blank] [Fill in the blank] [Fill in the blank] Total[Fill in the blank] [Fill in the blank] 27

A model was developed to classify whether or not tweets were written by a Twitter bot. A visual representation of the results from using the model on 33 tweets is shown below.The colour of the bird indicates who actually wrote the tweet (e.g., a red bird means it was actually written by a Twitter bot) and the colour of the circle indicates who the model predicted the tweet was written by.Use the results to complete the confusion matrix.Predicted: Twitter botPredicted: Not Twitter botTotalActual: Twitter bot[Fill in the blank] [Fill in the blank] [Fill in the blank] Actual: Not Twitter bot[Fill in the blank] [Fill in the blank] [Fill in the blank] Total[Fill in the blank] [Fill in the blank] 33

A model was developed to classify whether or not tweets were written by a Twitter bot. The results from using the classification model on 35 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 not be written by a bot.Of the tweets that were predicted to be written by a bot, [Fill in the blank] % were actually written by bot.Of the tweets that were actually written by a bot, [Fill in the blank] % were correctly predicted to be written by bot.

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