ATTRIBUTES: POSSIBLE VALUES: sepallength {sl-short,sl-med,sl-long} petallength {pl-short,pl-med,pl-long} petalwidth {pw-short,pw-med,pw-long} class {Iris-setosa,Iris-versicolor,Iris-virginica}
sepallength | petallength | petalwidth | class |
sl-short | pl-short | pw-short | Iris-setosa |
sl-short | pl-short | pw-short | Iris-setosa |
sl-short | pl-short | pw-short | Iris-setosa |
sl-long | pl-med | pw-med | Iris-versicolor |
sl-long | pl-long | pw-med | Iris-versicolor |
sl-med | pl-med | pw-med | Iris-versicolor |
sl-med | pl-med | pw-med | Iris-versicolor |
sl-med | pl-long | pw-med | Iris-virginica |
sl-med | pl-long | pw-long | Iris-virginica |
sl-long | pl-long | pw-long | Iris-virginica |
Construct "by hand" all the perfect classification rules that the Prism algorithm would output for this dataset using the ratio p/t to rank the attribute-values that are candidates for inclusion in a rule. You written solutions should show all your work. That is, the list of all attribute-values that were candidates during each of the stages of the rule construction process and which ones were selected.
Mine association rules by hand from this dataset by faithfully following the Apriori algorithm with minimum support = 35% (since the dataset contains 10 instances, then the min support count is 3 instances) and minimum confidence 90%. Note that you need to produce regular association rules, not classification association rules.
Experiment both with regular association rules (car=false in the Apriori parameters), and classification association rules (car=true in the Apriori parameters).
To the extent possible/necessary, modify the attribute names and the nominal value names so that the resulting classification/association rules are easy to read.
Repeat your joint experiments to see the differences in the results between the p/t and the p*[log_2(p/t) - log_2(P/T)] measures. If none of your joint experiments produces different results, construct at least one dataset in which the two measures produce different results and compare them.