i need to implement two algorithms in weka and get the results.
The algorithms are: j48 and naivebayes.
the data is 65 rows and 9 columns for each entry row.
I need the followings:
1- the output for each algorithm.
2- i need to explain how we got these results in each algorithm from the data and algorithm, and its tree figure.
3- detailed report.
6 freelancers are bidding on average $4/hour for this job
Hi I had a PhD in computer science. My area of expertise is data mining. I had worked on many projects using Weka. Please check my profile. Contact me please. Many thanks.
HI, I am data scientist and have good experience in python, Weka and R programming. My area of interest is statistical Analysis of dataset and apply ML/deep learning algorithm. I can intern your tasks. Kind Regards