Dataset predicting number of people having >$10000 in bankAnswer choicesSelect only one optionREVISITOut of 200 cases, our classification model predicted “YES” 135 times, and “NO” 5 times.Out of 200 cases, our classification model predicted “YES” 125 times, and “NO” 65 times.Out of 200 cases, our classification model predicted “YES” 135 times, and “NO” 65 times.Out of 200 cases, our classification model predicted “YES” 135 times, and “NO” 60 times.

Machine learning approaches can be traditionally categorized into ______ categoriesAnswer choicesSelect only one optionREVISIT5346

The number of return customers is an example of…Group of answer choicesnominal dataordinal datainterval dataratio data

To evaluate a binominal classification machine learning model, you examine this confusion matrix: What can you infer from this confusion matrix? (Select ALL correct answers) A. This model had 67 false positive predictions. B. This model had 67 false negative predictions. C. This model was able to correctly predict 705 "BAD" values out of a total of 772 "BAD" values in the ExampleSet. D. Data scientists would consider this a 'balanced' data set.

People who take a chance on a bonanza with a very low probability of occurrence in lieu of a sure thing are:Group of answer choicesrisk averters.risk predictors.risk takers.risk calculators. Flag question: Spacer

Naive Bayes classifier is a type of supervised learning - True or False?Answer choicesSelect an optionTRUEFALSEUnsupervised learningNone of the options