Dataset - 30 Features URL phishing dataset from UC Irvine website.
Task 1: Minimize the no of features using PCA and then do the execution. Half PCA code added already.
Task 2: Add ROC Curve code for ELM.
Algorithms used: SVM, NB, ELM, and Voting Classifier (KNN, LR, and Xgboost).
After using PCA, Voting Classifier needs to achieve an accuracy of more than 94.50%.
Add comments wherever necessary.
7 freelancers are bidding on average ₹2621 for this job
Hi, I am Ibrahim, and I am a data scientist, I can add PCA, please do mention the metric, do you have a said number of factors or would you like me to use Eigen value. Regards, Ibrahim Anjum
Hey, i have gone through your problem statement. And i would like to say that i can do that task. I have worked on many projects like this. So, if you want i can do. Thank you!