Given following datasets in the attachment
1) Training
2) Test
By using the classification algorithms (mentioned below) in weka tool:
1) Train the algorithm using the data given in the training data set file.
2) Classify the data given in the test data set file.
Algorithms to use:
1) ID3
2) KNN
3) Backpropagation
For KNN change the k values and analyze the results that you obtained.
Similarly, for the backpropagation algorithm change the number hidden layers and analyze the results that you obtained.
If you want, you can change other parameters also.
What to submit: Confusion matrices that you obtained for the 3 algorithms and the analysis of the results.
Please submit your results in a pdf or word document.
Hello
I am Data Mining expert and interested in this project. I have reviewed your requirements and confident to handle this project perfectly.
I also have a lot of experience in helping students with assignments, so I will keep codes well documented.
Please communicate to discuss further.
Regards
Anshu
I am Phd In sensor networks. I have extensively used data mining tools and algorithms in understanding sensor networks. I am willing to give the work with confidence.
kind regards
I am ready to work under your budget and timings
Hi
I am sam though I am new to freelancer but have worked at upwork from 6 years.
I have a team of devlopers who will deliver the task within your timings
Plz give chance
Thanks