Using the above details kindly answer the following questions:

b) Draw a table that will outline the Accuracy, Precision, Recall, F-Measure, ROC Area of the following Rules based algorithms; RIPPER (JRip), PART, and Decision Table.

c) Use Decision Trees algorithms (Random Forest, Random Tree) and Artificial Neural Network (Multilayer Perceptron) to compare with the results in part b) above.

Do you have better prediction accuracy with these in this dataset? d) What is your conclusion in these experiments pertaining to ML algorithms used?

\\begin{tabular}{ll} \\hline Website feature & Frequency rate \\\\ \\hline IP address & 20.5 \\\\ Long URL & \51.0 \\\\ URL's having @ symbol & \6.8 \\\\ Prefix and suffix & \25.4 \\\\ Sub-domain (dots) & \42.8 \\\\ Misuse/fake of HTTPs protocol & \89.2 \\\\ Request URL & \100 \\\\ Server form handler & \5.7 \\\\ URL of anchor & \\( 22.3 \\$ \\) \\\\ Abnormal URL & \20.5 \\\\ Using pop-up window & \14.3 \\\\ Redirect page & \11.0 \\\\ DNS record & \7.6 \\\\ Hiding the links & \21.0 \\\\ Website traffic & \93.2 \\\\ Age of domain & \97.4 \\\\ \\hline \\end{tabular}