How much income did Thomas receive?数值题
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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 26 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] 26
A random sample of tweets made by @AucklandUni were used to explore whether engagement with a tweet could be predicted based on characteristics of the tweet. The plots below were constructed using iNZight Lite and two of the variables created from the tweets. Use the plots above to decide if each of the following statements are TRUE or FALSE. Around 24% of the tweets received no likes. [选择] TRUE FALSE Most of the tweets contained no links. [选择] TRUE FALSE Of the tweets that contain no links, around 26% received no likes. [选择] TRUE FALSE Knowing that the tweet contains a link appears to be very helpful for predicting whether the tweet will receive likes. [选择] FALSE TRUE
A random sample of tweets made by @AucklandUni was obtained. Load the dataset into iNZight Lite using this link and produce relevant summary statistics to answer the questions below. Note: When you are using two categorical variables, the order you put variables into iNZight Lite does affect the frequency table in the summary so consider this carefully. Give your answers as percentages rounded to one decimal place e.g. 23.1% or 42.0%. What proportion of the tweets were tweeted in the afternoon or evening (PM)?[Fill in the blank] % What proportion of the tweets had between 150 and 200 characters?[Fill in the blank] % Of the tweets that were tweeted in the morning (AM), what proportion had between 150 and 200 characters?[Fill in the blank] % Of the tweets that had more than 200 characters, what proportion were tweeted in the afternoon or evening (PM)?[Fill in the blank] %
A random sample of tweets made by the @AucklandUni Twitter account were used to create the data set below. Use the data set above to decide if each of the following statements are TRUE or FALSE. The variable number_likes will be identified as a numeric variable by iNZight Lite. [选择] TRUE FALSE The variable number_characters will be identified as a categorical variable by iNZight Lite. [选择] TRUE FALSE The variable received_likes will be identified as a numeric variable by iNZight Lite. [选择] FALSE TRUE The data set displayed above is rectangular. [选择] FALSE TRUE
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