Predictive analytic

[ad_1]
Part A:Please work on the same Example “diagnosing breast cancer with the k-NN algorithm” (See Ch. 3 of Machine Learning with R – Second Edition, in pp. 75-87), using the same dataset (can be found at http://archive.ics.uci.edu/ml or click here to download wisc_bc_data.csv )Follow the same five steps to get the same results as in the text.Test alternative values of k, show a new table of at least three different k values from the table in text and report your findings in each step.Give a good summary and conclusion of your findings with insight.Part B:Choose a different dataset (or use your own dataset, can find one from the same website or other website):Follow the same five steps to get similar results as in the text.Test different values of k, show a new table of at least three different k values similar to the table in the text and report your findings in each step.Give a good summary and conclusion of your findings with insight.The project should have cover page, following APA format with at least 1000 words (excluding title page and references page) and references page. Please use subtitles to make your assignment reader friendly.References:Predictive Analytics Using R by Jeffrey Strickland (2014).Machine Learning with R Second Edition by Brett Lantz (2015).APA format https://owl.english.purdue.edu/owl/resource/560/01/
[ad_2]Source link
 
“Looking for a Similar Assignment? Get Expert Help at an Amazing Discount!”

What Students Are Saying About Us

.......... Customer ID: 12*** | Rating: ⭐⭐⭐⭐⭐
"Honestly, I was afraid to send my paper to you, but splendidwritings.com proved they are a trustworthy service. My essay was done in less than a day, and I received a brilliant piece. I didn’t even believe it was my essay at first 🙂 Great job, thank you!"

.......... Customer ID: 14***| Rating: ⭐⭐⭐⭐⭐
"The company has some nice prices and good content. I ordered a term paper here and got a very good one. I'll keep ordering from this website."

"Order a Custom Paper on Similar Assignment! No Plagiarism! Enjoy 20% Discount"