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The Cars Evaluation Data set consists of 7 attributes, 6 as feature attributes and 1 as the target attribute ( car _ evaluation ) .
The Cars Evaluation Data set consists of attributes, as feature attributes and as the target attribute carevaluation All the attributes are categorical.
buying
vhigh, high, med, low
maintenance
vhigh, high, med,low
doors
more
persons
more
lugboot
small, med, big
safety
low, med, high
carevaluation
unacc, acc, good, vgood
Questions
Build decision tress from the Data using algorithms discussed in the class. Report model performance based on accuracy, error, sensitivity recall specificity, and precision using kfold cross validation.
Compare the models using ROC curves and PrecisionRecall graphs
Compute precision and recall using micro and macro averaging approaches. Interpret the results.
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